Dahlia A . Al-Obaidi - Profile on Academia.edu (original) (raw)

Papers by Dahlia A . Al-Obaidi

Research paper thumbnail of Methods Used to Estimate Reservoir Pressure Performance: A Review

Maǧallaẗ al-handasaẗ/Journal of engineering, Jun 1, 2024

Reservoir pressure plays a significant role in all reservoir and production engineering studies. ... more Reservoir pressure plays a significant role in all reservoir and production engineering studies. It is crucial to characterize petroleum reservoirs: by detecting fluid movement, computing oil in place, and calculating the recovery factor. Knowledge of reservoir pressure is essential for predicting future production rates, optimizing well performance, or planning enhanced oil recovery strategies. However, applying the methods to investigate reservoir pressure performance is challenging because reservoirs are large, complex systems with irregular geometries in subsurface formations with numerous uncertainties and limited information about the reservoir's structure and behavior. Furthermore, many computational techniques, both numerical and analytical, have been utilized to examine reservoir pressure performance. This paper summarizes the concepts and applications of traditional and novel ways to investigate reservoir pressure changes over time. It provides a comprehensive review that assists the reader in recognizing and distinguishing between various techniques for obtaining an accurate description of reservoir pressure behavior during production, such as the reservoir simulation method, material balance equation approach, time-lapse seismic data, and modern artificial intelligence methods. Thus, the central concept of these procedures and a list of the authors' research are discussed.

Research paper thumbnail of Permeability Prediction and Facies Distribution for Yamama Reservoir in Faihaa Oil Field: Role of Machine Learning and Cluster Analysis Approach

Iraqi geological journal, Mar 31, 2024

Empirical and statistical methodologies have been established to acquire accurate permeability id... more Empirical and statistical methodologies have been established to acquire accurate permeability identification and reservoir characterization, based on the rock type and reservoir performance. The identification of rock facies is usually done by either using core analysis to visually interpret lithofacies or indirectly based on well-log data. The use of well-log data for traditional facies prediction is characterized by uncertainties and can be time-consuming, particularly when working with large datasets. Thus, Machine Learning can be used to predict patterns more efficiently when applied to large data. Taking into account the electrofacies distribution, this work was conducted to predict permeability for the four wells, FH1, FH2, FH3, and FH19 from the Yamama reservoir in the Faihaa Oil Field, southern Iraq. The framework includes: calculating permeability for uncored wells using the classical method and FZI method. Topological mapping of input space into clusters is achieved using the self-organizing map (SOM), as an unsupervised machinelearning technique. By leveraging data obtained from the four wells, the SOM is effectively employed to forecast the count of electrofacies present within the reservoir. According to the findings, the permeability calculated using the classical method that relies exclusively on porosity is not close enough to the actual values because of the heterogeneity of carbonate reservoirs. Using the FZI method, in contrast, displays more real values and offers the best correlation coefficient. Then, the SOM model and cluster analysis reveal the existence of five distinct groups.

Research paper thumbnail of Identifying Average Reservoir Pressure in Multilayered Oil Wells Using Selective Inflow Performance (SIP) Method

Iraqi journal of chemical and petroleum engineering, Sep 29, 2023

The downhole flow profiles of the wells with single production tubes and mixed flow from more tha... more The downhole flow profiles of the wells with single production tubes and mixed flow from more than one layer can be complicated, making it challenging to obtain the average pressure of each layer independently. Production log data can be used to monitor the impacts of pressure depletion over time and to determine average pressure with the use of Selective Inflow Performance (SIP). The SIP technique provides a method of determining the steady state of inflow relationship for each individual layer. The well flows at different stabilized surface rates, and for each rate, a production log is run throughout the producing interval to record both downhole flow rates and flowing pressure. PVT data can be used to convert measured in-situ rates to surface conditions. Different types of Inflow Performance Relationship (IPR) equations can be used for SIP interpretation, including the Straight-line method, Fetkovitch method, and Laminar Internal Turbulent (LIT) relations. Although the SIP method can be used for single-phase flow, the interpreter can restrict the IPR's calculations to a particular phase. This research discusses the difficulties in estimating the average reservoir pressure in multilayered reservoir completed wells over their production life. The SIP technique has been applied to some producing wells in the south of Iraq, which are completed in multiple producing reservoirs previously tested with a formation tester to estimate reservoir pressure and other parameters. Two wells are taken in the south of Iraq region, Zubair Oil Field, one with cross flow between perforations and the other well with no cross flow. An average pressure is not calculated for layer A in Well-1, because there is no contribution rate. While the average pressure for Well-1, layer B is 3414.49 psia. Also, the average pressure for Well-2, layer H is not calculated because there is no rate contribution from this layer, and the maximum average pressure was calculated in layer G, which is about 2606.26 psia. It is also found that the presence of cross flow has no effect on SIP calculations.

Research paper thumbnail of A Review on Pressure Transient Analysis in Multilayer Reservoir: South Iraq Case Study

Iraqi geological journal, Nov 29, 2023

Multilayer reservoirs are currently modeled as a single zone system by averaging the reservoir pa... more Multilayer reservoirs are currently modeled as a single zone system by averaging the reservoir parameters associated with each reservoir zone. However, this type of modeling is rarely accurate because a single zone system does not account for the fact that each zone's pressure decreases independently. Pressure drop for each zone has an effect on the total output and would result in inter-flow and the premature depletion of one of the zones. Understanding reservoir performance requires a precise estimation of each layer's permeability and skin factor. The Multilayer Transient Analysis is a well-testing technique designed to determine formation properties in more than one layer, and its effectiveness over the past two decades has been demonstrated. In order to conduct MTA, a combination of rate profiles derived from production data and transient rate and pressure measurements at multiple surface rates is necessary. Numerous experimental and analytic approaches to calculating multilayer characteristics, performance, and flow behavior in multilayer systems have emerged. This technology was implemented at the Zubair oil field in southern Iraq. In the last four years, the number of wells producing under saturation pressure has been increased in the Zubair oil field, particularly for the Mishrif and Zubair reservoirs. In the design of secondary and tertiary recovery, the study of the reservoir in the form of an individual layer to determine the pressure, permeability, and damage of each layer with commingled formation is important. This research describes previously available methods, factors that affect Multilayer Transient Analysis an economic indicator of Multilayer Transient Analysis and a case study

Research paper thumbnail of Permeability Prediction and Facies Distribution for Yamama Reservoir in Faihaa Oil Field: Role of Machine Learning and Cluster Analysis Approach

Iraqi Geological Journal, 2024

Empirical and statistical methodologies have been established to acquire accurate permeability id... more Empirical and statistical methodologies have been established to acquire accurate permeability identification and reservoir characterization, based on the rock type and reservoir performance. The identification of rock facies is usually done by either using core analysis to visually interpret lithofacies or indirectly based on well-log data. The use of well-log data for traditional facies prediction is characterized by uncertainties and can be time-consuming, particularly when working with large datasets. Thus, Machine Learning can be used to predict patterns more efficiently when applied to large data. Taking into account the electrofacies distribution, this work was conducted to predict permeability for the four wells, FH1, FH2, FH3, and FH19 from the Yamama reservoir in the Faihaa Oil Field, southern Iraq. The framework includes: calculating permeability for uncored wells using the classical method and FZI method. Topological mapping of input space into clusters is achieved using the self-organizing map (SOM), as an unsupervised machinelearning technique. By leveraging data obtained from the four wells, the SOM is effectively employed to forecast the count of electrofacies present within the reservoir. According to the findings, the permeability calculated using the classical method that relies exclusively on porosity is not close enough to the actual values because of the heterogeneity of carbonate reservoirs. Using the FZI method, in contrast, displays more real values and offers the best correlation coefficient. Then, the SOM model and cluster analysis reveal the existence of five distinct groups.

Research paper thumbnail of Optimization of Horizontal Well Location and Completion to Improve Oil Recovery for an Iraqi Field

Exploitation of mature oil fields around the world has forced researchers to develop new ways to ... more Exploitation of mature oil fields around the world has forced researchers to develop new ways to optimize reservoir performance from such reservoirs. To achieve that, drilling horizontal wells is an effective method. The effectiveness of this kind of wells is to increase oil withdrawal. The objective of this study is to optimize the location, design, and completion of a new horizontal well as an oil producer to improve oil recovery in a real field located in Iraq. "A" is an oil and gas condensate field located in the Northeast of Iraq. From field production history, it is realized the difficulty to control gas and water production in this kind of complex carbonate reservoir with vertical producer wells. In this study, a horizontal well design with multi-stage completion is studied and proposed to find optimal oil recovery in the southeast region of the selected field. A bulk oil well sector model is used to simulate the fluid flow of a single-porosity/single-permeability model. Then, a sensitivity analysis has been run to optimize; the well trajectory path, different scenarios on well oil and water production potential, and well completion design. The result of the well sector simulation indicates that the well trajectory with an Azimuth of 89 degrees and with a multi-stage completion design has better production performance under water production constraints. Optimum oil production rates of 1000 to 2000 STB/day, as delaying and controlling early gas and water production challenges is achieved.

Research paper thumbnail of A Review on Pressure Transient Analysis in Multilayer Reservoir: South Iraq Case Study

Multilayer reservoirs are currently modeled as a single zone system by averaging the reservoir pa... more Multilayer reservoirs are currently modeled as a single zone system by averaging the reservoir parameters associated with each reservoir zone. However, this type of modeling is rarely accurate because a single zone system does not account for the fact that each zone's pressure decreases independently. Pressure drop for each zone has an effect on the total output and would result in inter-flow and the premature depletion of one of the zones. Understanding reservoir performance requires a precise estimation of each layer's permeability and skin factor. The Multilayer Transient Analysis is a well-testing technique designed to determine formation properties in more than one layer, and its effectiveness over the past two decades has been demonstrated. In order to conduct MTA, a combination of rate profiles derived from production data and transient rate and pressure measurements at multiple surface rates is necessary. Numerous experimental and analytic approaches to calculating multilayer characteristics, performance, and flow behavior in multilayer systems have emerged. This technology was implemented at the Zubair oil field in southern Iraq. In the last four years, the number of wells producing under saturation pressure has been increased in the Zubair oil field, particularly for the Mishrif and Zubair reservoirs. In the design of secondary and tertiary recovery, the study of the reservoir in the form of an individual layer to determine the pressure, permeability, and damage of each layer with commingled formation is important. This research describes previously available methods, factors that affect Multilayer Transient Analysis an economic indicator of Multilayer Transient Analysis and a case study

Research paper thumbnail of Development of A Multi-Completion-Gas and Downhole Water Sink-Assisted Gravity Drainage MC-GDWS-AGD Process to Enhance Oil Recovery and Reduce Water Cresting in Reservoirs With Strong Water Aquifers

Development of A Multi-Completion-Gas and Downhole Water Sink-Assisted Gravity Drainage MC-GDWS-AGD Process to Enhance Oil Recovery and Reduce Water Cresting in Reservoirs With Strong Water Aquifers

Day 2 Tue, May 03, 2022

The Gas and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) process functions to enhance... more The Gas and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) process functions to enhance oil recovery by placing vertical gas injectors at the top of the reservoir combined with a series of horizontal wells located in the lower part of the reservoir for oil and water production. The injected gas accumulates to form or enhance a gas cap, while oil and water drain by gravity towards the base of the reservoir due to their heavier densities. To further enhance oil recovery, and to overcome the economic limitations of using vertical gas injectors, multi-completion production wells can also be used for gas injection through their annulus sections. This novel configuration thereby achieves Multi Completion-Gas and Downhole Water Sink-Assisted Gravity Drainage (MC-GDWS-AGD). The feasibility of MC-GDWS-AGD is investigated in this study by numerical simulation of the heterogeneous PUNQ-S3 reservoir, which is surrounded and supported by strong aquifers. The MC-GDWS-AGD process aims to...

Research paper thumbnail of Experimental evaluation of Carbon Dioxide-Assisted Gravity Drainage process (CO2-AGD) to improve oil recovery in reservoirs with strong water drive

Experimental evaluation of Carbon Dioxide-Assisted Gravity Drainage process (CO2-AGD) to improve oil recovery in reservoirs with strong water drive

Fuel

Research paper thumbnail of Well Placement Optimization through the Triple-Completion Gas and Downhole Water Sink-Assisted Gravity Drainage (TC-GDWS-AGD) EOR Process

Energies

Gas and downhole water sink-assisted gravity drainage (GDWS-AGD) is a new process of enhanced oil... more Gas and downhole water sink-assisted gravity drainage (GDWS-AGD) is a new process of enhanced oil recovery (EOR) in oil reservoirs underlain by large bottom aquifers. The process is capital intensive as it requires the construction of dual-completed wells for oil production and water drainage and additional multiple vertical gas-injection wells. The costs could be substantially reduced by eliminating the gas-injection wells and using triple-completed multi-functional wells. These wells are dubbed triple-completion-GDWS-AGD (TC-GDWS-AGD). In this work, we design and optimize the TC-GDWS-AGD oil recovery process in a fictitious oil reservoir (Punq-S3) that emulates a real North Sea oil field. The design aims at maximum oil recovery using a minimum number of triple-completed wells with a gas-injection completion in the vertical section of the well, and two horizontal well sections—the upper section for producing oil (from above the oil/water contact) and the lower section for draining ...

Research paper thumbnail of Development of A Multi-Completion-Gas and Downhole Water Sink-Assisted Gravity Drainage MC-GDWS-AGD Process to Enhance Oil Recovery and Reduce Water Cresting in Reservoirs With Strong Water Aquifers

The Gas and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) process functions to enhance... more The Gas and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) process functions to enhance oil recovery by placing vertical gas injectors at the top of the reservoir combined with a series of horizontal wells located in the lower part of the reservoir for oil and water production. The injected gas accumulates to form or enhance a gas cap, while oil and water drain by gravity towards the base of the reservoir due to their heavier densities. To further enhance oil recovery, and to overcome the economic limitations of using vertical gas injectors, multi-completion production wells can also be used for gas injection through their annulus sections. This novel configuration thereby achieves Multi Completion-Gas and Downhole Water Sink-Assisted Gravity Drainage (MC-GDWS-AGD). The feasibility of MC-GDWS-AGD is investigated in this study by numerical simulation of the heterogeneous PUNQ-S3 reservoir, which is surrounded and supported by strong aquifers. The MC-GDWS-AGD process aims to minimize water cut in oil production wells from offshore reservoirs with bottom water drives and strong water coning tendencies. In the combined technologies, the gas is injected through the annulus of 7-inch production casings at the top of the reservoir. Then the same casing is dually completed for two 2-3/8 inch horizontal tubing strings: one above the oil-water contact for oil production, and one beneath that contact to function as the water sink. The two completions are hydraulically isolated within the wellbore by a packer. The lower (water sink) completion employs a submersible pump and water-drainage perforations. The submersible pump drains the accumulation of water from around the well. By doing so it prevents the water from breaking through into the oil column and adversely affecting production through the horizontal oil-producing perforations. The heterogeneous multilayered PUNQ-S3 reservoir, which is surrounded by infinite aquifers, was considered to simulate this process. The MC-GDWS-AGD process simulation is designed to evaluate oil flow rate, cumulative oil production, and water cut in oil production wells. The simulation compares the performance of MC-GDWS-AGD with the GAGD and GDWS-AGD completion configurations. The simulation results reveal similar performance for the MC-GDWS-AGD and GDWS-AGD configurations, for all the parameters considered. The GDWS-AGD method slightly outperforms the MC-GDWS-AGD method by achieving a small increase in cumulative oil production from 1.8x 10 6 m 3 for the GAGD method to 1.83x 10 6 m 3. Both methods exceeded primary recovery in terms of cumulative oil production. Water cut decreased from 74% in the GAGD method to 63% in the MC-GDWS-AGD process. The oil recovery factor achieved by the MC-GDWS-AGD process increased by about 8% compared to that achieved by the GAGD method. The value of the MC-GDWS-AGD process is associated with its effectiveness to improve oil recovery by reducing the water coning, water cut, and improving gas injectivity, and at the same time reducing well costs. This new process allows for gas injection, oil, and water production to be conducted through a single multi-completed wellbore. This configuration also leads to multiple additional economic benefits, some of which are associated with the reduction of operational surface facilities in offshore oil fields.

Research paper thumbnail of Well Placement Optimization through the Triple-Completion Gas and Downhole Water Sink-Assisted Gravity Drainage (TC-GDWS-AGD) EOR Process

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

Research paper thumbnail of Immiscible CO2-Assisted Gravity Drainage Process for Enhancing Oil Recovery in Bottom Water Drive reservoir

The CO2-Assisted Gravity Drainage process (GAGD) has been introduced to become one of the most in... more The CO2-Assisted Gravity Drainage process (GAGD) has been introduced to become one of the most influential process to enhance oil recovery (EOR) methods in both secondary and tertiary recovery through immiscible and miscible mode. Its advantages came from the ability of this process to provide gravity-stable oil displacement for enhancing oil recovery. Vertical injectors for CO2 gas have been placed at the crest of the pay zone to form a gas cap which drain the oil towards the horizontal producing oil wells located above the oil-water-contact. The advantage of horizontal well is to provide big drainage area and small pressure drawdown due to the long penetration. Many simulation and physical models of CO2-AGD process have been implemented at reservoir and ambient conditions to study the effect of this method to improve oil recovery and to examine the most parameters that control the CO2-AGD process. The CO2-AGD process has been developed and tested to increase oil recovery in reserv...

Research paper thumbnail of Numerical Simulation of Immiscible CO2-Assisted Gravity Drainage Process to Enhance Oil Recovery

Iraqi Journal of Science, 2020

The Gas Assisted Gravity Drainage (GAGD) process has become one of the most important processes t... more The Gas Assisted Gravity Drainage (GAGD) process has become one of the most important processes to enhance oil recovery in both secondary and tertiary recovery stages and through immiscible and miscible modes. Its advantages came from the ability to provide gravity-stable oil displacement for improving oil recovery, when compared with conventional gas injection methods such as Continuous Gas Injection (CGI) and Water – Alternative Gas (WAG). Vertical injectors for CO2 gas were placed at the top of the reservoir to form a gas cap which drives the oil towards the horizontal oil producing wells which are located above the oil-water-contact. The GAGD process was developed and tested in vertical wells to increase oil recovery in reservoirs with bottom water drive and strong water coning tendencies. Many physical and simulation models of GAGD performance were studied at ambient and reservoir conditions to investigate the effects of this method to enhance the recovery of oil and to ex...

Research paper thumbnail of Feasibility of the Gas and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) Process to Enhance the Recovery of Oil in Reservoirs with Strong Aquifer

Feasibility of the Gas and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) Process to Enhance the Recovery of Oil in Reservoirs with Strong Aquifer

Macromolecular Characterization of Hydrocarbons for Sustainable Future

Research paper thumbnail of Immiscible CO 2 -Assisted Gravity Drainage Process for Enhancing Oil Recovery in Bottom Water Drive reservoir

The CO2-Assisted Gravity Drainage process (GAGD) has been introduced to become one of the most in... more The CO2-Assisted Gravity Drainage process (GAGD) has been introduced to become one of the most influential process to enhance oil recovery (EOR) methods in both secondary and tertiary recovery through immiscible and miscible mode. Its advantages came from the ability of this process to provide gravity-stable oil displacement for enhancing oil recovery. Vertical injectors for CO2 gas have been placed at the crest of the pay zone to form a gas cap which drain the oil towards the horizontal producing oil wells located above the oil-water-contact. The advantage of horizontal well is to provide big drainage area and small pressure drawdown due to the long penetration. Many simulation and physical models of CO2-AGD process have been implemented at reservoir and ambient conditions to study the effect of this method to improve oil recovery and to examine the most parameters that control the CO2-AGD process. The CO2-AGD process has been developed and tested to increase oil recovery in reservoirs with bottom water drive and strong water coning tendencies. In this study, a scaled prototype 3D simulation model with bottom water drive was used for CO2-assisted gravity drainage. The CO2-AGD process performance was studied. Also the effects of bottom water drive on the performance of immiscible CO2 assisted gravity drainage (enhanced oil recovery and water cut) was investigated. Four different statements scenarios through CO2-AGD process were implemented. Results revealed that: ultimate oil recovery factor increases considerably when implemented CO2-AGD process (from 13.5% to 84.3%). Recovery factor rises with increasing the activity of bottom water drive (from 77.5% to 84.3%). Also, GAGD process provides better reservoir pressure maintenance to keep water cut near 0% limit until gas flood front reaches the production well if the aquifer is active, and stays near 0% limit at all prediction period for limited water drive.

Research paper thumbnail of Numerical Simulation of Immiscible CO 2 -Assisted Gravity Drainage Process to Enhance Oil Recovery

The Gas Assisted Gravity Drainage (GAGD) process has become one of the most important processes t... more The Gas Assisted Gravity Drainage (GAGD) process has become one of the most important processes to enhance oil recovery in both secondary and tertiary recovery stages and through immiscible and miscible modes. Its advantages came from the ability to provide gravity-stable oil displacement for improving oil recovery, when compared with conventional gas injection methods such as Continuous Gas Injection (CGI) and Water-Alternative Gas (WAG). Vertical injectors for CO 2 gas were placed at the top of the reservoir to form a gas cap which drives the oil towards the horizontal oil producing wells which are located above the oil-water-contact. The GAGD process was developed and tested in vertical wells to increase oil recovery in reservoirs with bottom water drive and strong water coning tendencies. Many physical and simulation models of GAGD performance were studied at ambient and reservoir conditions to investigate the effects of this method to enhance the recovery of oil and to examine the most effective parameters that control the GAGD process. A prototype 2D simulation model based on the scaled physical model was built for CO 2-assisted gravity drainage in different statement scenarios. The effects of gas injection rate, gas injection pressure and oil production rate on the performance of immiscible CO 2-assisted gravity drainage-enhanced oil recovery were investigated. The results revealed that the ultimate oil recovery increases considerably with increasing oil production rates. Increasing gas injection rate improves the performance of the process while high pressure gas injection leads to less effective gravity mediated recovery.

Research paper thumbnail of Permeability Prediction in One of Iraqi Carbonate Reservoir Using Hydraulic Flow Units and Neural Networks

Iraqi Journal of Chemical and Petroleum Engineering, 2016

Permeability determination in Carbonate reservoir is a complex problem, due to their capability t... more Permeability determination in Carbonate reservoir is a complex problem, due to their capability to be tight and heterogeneous, also core samples are usually only available for few wells therefore predicting permeability with low cost and reliable accuracy is an important issue, for this reason permeability predictive models become very desirable. This paper will try to develop the permeability predictive model for one of Iraqi carbonate reservoir from core and well log data using the principle of Hydraulic Flow Units (HFUs). HFU is a function of Flow Zone Indicator (FZI) which is a good parameter to determine (HFUs). Histogram analysis, probability analysis and Log-Log plot of Reservoir Quality Index (RQI) versus normalized porosity (øz) are presented to identify optimal hydraulic flow units. Four HFUs were distinguished in this study area with good correlation coefficient for each HFU (R2=0.99), therefore permeability can be predicted from porosity accurately if rock type is...

Research paper thumbnail of Evaluation of Gas and Downhole Water Sink-Assisted Gravity Drainage GDWS-AGD Process in Saturated Oil Reservoirs with Infinite-Acting Aquifer

SPE Western Regional Meeting, 2019

A hybrid Gas-Enhanced and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) process has be... more A hybrid Gas-Enhanced and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) process has been suggested to enhance oil recovery by placing vertical injectors for CO2 at the top of the reservoir with a series of horizontal oil-producing and water-drainage wells located above and below the oil-water contact, respectively. The injected gas builds a gas cap that drives the oil to the (upper) oil-producing wells while the bottom water-drainage wells control water cresting. The hybrid process of GDWS-AGD process has been first developed and tested in vertical wells to minimize water cut in reservoirs with bottom water drive and strong water coning tendencies. The wells were dual-completed with 7-inch production casing and 2-3/8 inch tubings and perforated above the oil-water contact (OWC) for oil production and below OWC for water drainage. The two completions were hydraulically isolated inside the well by a packer. The bottom (water sink) completion drained water with a submersible...

Research paper thumbnail of Electrofacies Characterization of an Iraqi Carbonate Reservoir

Electrofacies Characterization of an Iraqi Carbonate Reservoir

Predicting peterophysical parameters and doing accurate geological modeling which are an active r... more Predicting peterophysical parameters and doing accurate geological modeling which are an active research area in petroleum industry cannot be done accurately unless the reservoir formations are classified into subgroups. Also, getting core samples from all wells and characterize them by geologists are very expensive way; therefore, we used the Electro-Facies characterization which is a simple and cost-effective approach to classify one of Iraqi heterogeneous carbonate reservoirs using commonly available well logs. The main goal of this work is to identify the optimum E-Facies units based on principal components analysis (PCA) and model based cluster analysis(MCA) depending on available well logs data for four wells from an Iraqi carbonate oil field. The optimum E-Facies units came from comparing them with geologist classification units for these four wells. Also, we conclude that the value of permeability is not important to get the optimum E-Facies units. Several runs have been tried each with different number of units using the Electro-Facies approach. The results of the techniques show very good match of the tops for various units with the actual ones. This application also shows the power and versatility of electrofacies characterization in improving reservoir descriptions in complex carbonate reservoirs.

Research paper thumbnail of Methods Used to Estimate Reservoir Pressure Performance: A Review

Maǧallaẗ al-handasaẗ/Journal of engineering, Jun 1, 2024

Reservoir pressure plays a significant role in all reservoir and production engineering studies. ... more Reservoir pressure plays a significant role in all reservoir and production engineering studies. It is crucial to characterize petroleum reservoirs: by detecting fluid movement, computing oil in place, and calculating the recovery factor. Knowledge of reservoir pressure is essential for predicting future production rates, optimizing well performance, or planning enhanced oil recovery strategies. However, applying the methods to investigate reservoir pressure performance is challenging because reservoirs are large, complex systems with irregular geometries in subsurface formations with numerous uncertainties and limited information about the reservoir's structure and behavior. Furthermore, many computational techniques, both numerical and analytical, have been utilized to examine reservoir pressure performance. This paper summarizes the concepts and applications of traditional and novel ways to investigate reservoir pressure changes over time. It provides a comprehensive review that assists the reader in recognizing and distinguishing between various techniques for obtaining an accurate description of reservoir pressure behavior during production, such as the reservoir simulation method, material balance equation approach, time-lapse seismic data, and modern artificial intelligence methods. Thus, the central concept of these procedures and a list of the authors' research are discussed.

Research paper thumbnail of Permeability Prediction and Facies Distribution for Yamama Reservoir in Faihaa Oil Field: Role of Machine Learning and Cluster Analysis Approach

Iraqi geological journal, Mar 31, 2024

Empirical and statistical methodologies have been established to acquire accurate permeability id... more Empirical and statistical methodologies have been established to acquire accurate permeability identification and reservoir characterization, based on the rock type and reservoir performance. The identification of rock facies is usually done by either using core analysis to visually interpret lithofacies or indirectly based on well-log data. The use of well-log data for traditional facies prediction is characterized by uncertainties and can be time-consuming, particularly when working with large datasets. Thus, Machine Learning can be used to predict patterns more efficiently when applied to large data. Taking into account the electrofacies distribution, this work was conducted to predict permeability for the four wells, FH1, FH2, FH3, and FH19 from the Yamama reservoir in the Faihaa Oil Field, southern Iraq. The framework includes: calculating permeability for uncored wells using the classical method and FZI method. Topological mapping of input space into clusters is achieved using the self-organizing map (SOM), as an unsupervised machinelearning technique. By leveraging data obtained from the four wells, the SOM is effectively employed to forecast the count of electrofacies present within the reservoir. According to the findings, the permeability calculated using the classical method that relies exclusively on porosity is not close enough to the actual values because of the heterogeneity of carbonate reservoirs. Using the FZI method, in contrast, displays more real values and offers the best correlation coefficient. Then, the SOM model and cluster analysis reveal the existence of five distinct groups.

Research paper thumbnail of Identifying Average Reservoir Pressure in Multilayered Oil Wells Using Selective Inflow Performance (SIP) Method

Iraqi journal of chemical and petroleum engineering, Sep 29, 2023

The downhole flow profiles of the wells with single production tubes and mixed flow from more tha... more The downhole flow profiles of the wells with single production tubes and mixed flow from more than one layer can be complicated, making it challenging to obtain the average pressure of each layer independently. Production log data can be used to monitor the impacts of pressure depletion over time and to determine average pressure with the use of Selective Inflow Performance (SIP). The SIP technique provides a method of determining the steady state of inflow relationship for each individual layer. The well flows at different stabilized surface rates, and for each rate, a production log is run throughout the producing interval to record both downhole flow rates and flowing pressure. PVT data can be used to convert measured in-situ rates to surface conditions. Different types of Inflow Performance Relationship (IPR) equations can be used for SIP interpretation, including the Straight-line method, Fetkovitch method, and Laminar Internal Turbulent (LIT) relations. Although the SIP method can be used for single-phase flow, the interpreter can restrict the IPR's calculations to a particular phase. This research discusses the difficulties in estimating the average reservoir pressure in multilayered reservoir completed wells over their production life. The SIP technique has been applied to some producing wells in the south of Iraq, which are completed in multiple producing reservoirs previously tested with a formation tester to estimate reservoir pressure and other parameters. Two wells are taken in the south of Iraq region, Zubair Oil Field, one with cross flow between perforations and the other well with no cross flow. An average pressure is not calculated for layer A in Well-1, because there is no contribution rate. While the average pressure for Well-1, layer B is 3414.49 psia. Also, the average pressure for Well-2, layer H is not calculated because there is no rate contribution from this layer, and the maximum average pressure was calculated in layer G, which is about 2606.26 psia. It is also found that the presence of cross flow has no effect on SIP calculations.

Research paper thumbnail of A Review on Pressure Transient Analysis in Multilayer Reservoir: South Iraq Case Study

Iraqi geological journal, Nov 29, 2023

Multilayer reservoirs are currently modeled as a single zone system by averaging the reservoir pa... more Multilayer reservoirs are currently modeled as a single zone system by averaging the reservoir parameters associated with each reservoir zone. However, this type of modeling is rarely accurate because a single zone system does not account for the fact that each zone's pressure decreases independently. Pressure drop for each zone has an effect on the total output and would result in inter-flow and the premature depletion of one of the zones. Understanding reservoir performance requires a precise estimation of each layer's permeability and skin factor. The Multilayer Transient Analysis is a well-testing technique designed to determine formation properties in more than one layer, and its effectiveness over the past two decades has been demonstrated. In order to conduct MTA, a combination of rate profiles derived from production data and transient rate and pressure measurements at multiple surface rates is necessary. Numerous experimental and analytic approaches to calculating multilayer characteristics, performance, and flow behavior in multilayer systems have emerged. This technology was implemented at the Zubair oil field in southern Iraq. In the last four years, the number of wells producing under saturation pressure has been increased in the Zubair oil field, particularly for the Mishrif and Zubair reservoirs. In the design of secondary and tertiary recovery, the study of the reservoir in the form of an individual layer to determine the pressure, permeability, and damage of each layer with commingled formation is important. This research describes previously available methods, factors that affect Multilayer Transient Analysis an economic indicator of Multilayer Transient Analysis and a case study

Research paper thumbnail of Permeability Prediction and Facies Distribution for Yamama Reservoir in Faihaa Oil Field: Role of Machine Learning and Cluster Analysis Approach

Iraqi Geological Journal, 2024

Empirical and statistical methodologies have been established to acquire accurate permeability id... more Empirical and statistical methodologies have been established to acquire accurate permeability identification and reservoir characterization, based on the rock type and reservoir performance. The identification of rock facies is usually done by either using core analysis to visually interpret lithofacies or indirectly based on well-log data. The use of well-log data for traditional facies prediction is characterized by uncertainties and can be time-consuming, particularly when working with large datasets. Thus, Machine Learning can be used to predict patterns more efficiently when applied to large data. Taking into account the electrofacies distribution, this work was conducted to predict permeability for the four wells, FH1, FH2, FH3, and FH19 from the Yamama reservoir in the Faihaa Oil Field, southern Iraq. The framework includes: calculating permeability for uncored wells using the classical method and FZI method. Topological mapping of input space into clusters is achieved using the self-organizing map (SOM), as an unsupervised machinelearning technique. By leveraging data obtained from the four wells, the SOM is effectively employed to forecast the count of electrofacies present within the reservoir. According to the findings, the permeability calculated using the classical method that relies exclusively on porosity is not close enough to the actual values because of the heterogeneity of carbonate reservoirs. Using the FZI method, in contrast, displays more real values and offers the best correlation coefficient. Then, the SOM model and cluster analysis reveal the existence of five distinct groups.

Research paper thumbnail of Optimization of Horizontal Well Location and Completion to Improve Oil Recovery for an Iraqi Field

Exploitation of mature oil fields around the world has forced researchers to develop new ways to ... more Exploitation of mature oil fields around the world has forced researchers to develop new ways to optimize reservoir performance from such reservoirs. To achieve that, drilling horizontal wells is an effective method. The effectiveness of this kind of wells is to increase oil withdrawal. The objective of this study is to optimize the location, design, and completion of a new horizontal well as an oil producer to improve oil recovery in a real field located in Iraq. "A" is an oil and gas condensate field located in the Northeast of Iraq. From field production history, it is realized the difficulty to control gas and water production in this kind of complex carbonate reservoir with vertical producer wells. In this study, a horizontal well design with multi-stage completion is studied and proposed to find optimal oil recovery in the southeast region of the selected field. A bulk oil well sector model is used to simulate the fluid flow of a single-porosity/single-permeability model. Then, a sensitivity analysis has been run to optimize; the well trajectory path, different scenarios on well oil and water production potential, and well completion design. The result of the well sector simulation indicates that the well trajectory with an Azimuth of 89 degrees and with a multi-stage completion design has better production performance under water production constraints. Optimum oil production rates of 1000 to 2000 STB/day, as delaying and controlling early gas and water production challenges is achieved.

Research paper thumbnail of A Review on Pressure Transient Analysis in Multilayer Reservoir: South Iraq Case Study

Multilayer reservoirs are currently modeled as a single zone system by averaging the reservoir pa... more Multilayer reservoirs are currently modeled as a single zone system by averaging the reservoir parameters associated with each reservoir zone. However, this type of modeling is rarely accurate because a single zone system does not account for the fact that each zone's pressure decreases independently. Pressure drop for each zone has an effect on the total output and would result in inter-flow and the premature depletion of one of the zones. Understanding reservoir performance requires a precise estimation of each layer's permeability and skin factor. The Multilayer Transient Analysis is a well-testing technique designed to determine formation properties in more than one layer, and its effectiveness over the past two decades has been demonstrated. In order to conduct MTA, a combination of rate profiles derived from production data and transient rate and pressure measurements at multiple surface rates is necessary. Numerous experimental and analytic approaches to calculating multilayer characteristics, performance, and flow behavior in multilayer systems have emerged. This technology was implemented at the Zubair oil field in southern Iraq. In the last four years, the number of wells producing under saturation pressure has been increased in the Zubair oil field, particularly for the Mishrif and Zubair reservoirs. In the design of secondary and tertiary recovery, the study of the reservoir in the form of an individual layer to determine the pressure, permeability, and damage of each layer with commingled formation is important. This research describes previously available methods, factors that affect Multilayer Transient Analysis an economic indicator of Multilayer Transient Analysis and a case study

Research paper thumbnail of Development of A Multi-Completion-Gas and Downhole Water Sink-Assisted Gravity Drainage MC-GDWS-AGD Process to Enhance Oil Recovery and Reduce Water Cresting in Reservoirs With Strong Water Aquifers

Development of A Multi-Completion-Gas and Downhole Water Sink-Assisted Gravity Drainage MC-GDWS-AGD Process to Enhance Oil Recovery and Reduce Water Cresting in Reservoirs With Strong Water Aquifers

Day 2 Tue, May 03, 2022

The Gas and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) process functions to enhance... more The Gas and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) process functions to enhance oil recovery by placing vertical gas injectors at the top of the reservoir combined with a series of horizontal wells located in the lower part of the reservoir for oil and water production. The injected gas accumulates to form or enhance a gas cap, while oil and water drain by gravity towards the base of the reservoir due to their heavier densities. To further enhance oil recovery, and to overcome the economic limitations of using vertical gas injectors, multi-completion production wells can also be used for gas injection through their annulus sections. This novel configuration thereby achieves Multi Completion-Gas and Downhole Water Sink-Assisted Gravity Drainage (MC-GDWS-AGD). The feasibility of MC-GDWS-AGD is investigated in this study by numerical simulation of the heterogeneous PUNQ-S3 reservoir, which is surrounded and supported by strong aquifers. The MC-GDWS-AGD process aims to...

Research paper thumbnail of Experimental evaluation of Carbon Dioxide-Assisted Gravity Drainage process (CO2-AGD) to improve oil recovery in reservoirs with strong water drive

Experimental evaluation of Carbon Dioxide-Assisted Gravity Drainage process (CO2-AGD) to improve oil recovery in reservoirs with strong water drive

Fuel

Research paper thumbnail of Well Placement Optimization through the Triple-Completion Gas and Downhole Water Sink-Assisted Gravity Drainage (TC-GDWS-AGD) EOR Process

Energies

Gas and downhole water sink-assisted gravity drainage (GDWS-AGD) is a new process of enhanced oil... more Gas and downhole water sink-assisted gravity drainage (GDWS-AGD) is a new process of enhanced oil recovery (EOR) in oil reservoirs underlain by large bottom aquifers. The process is capital intensive as it requires the construction of dual-completed wells for oil production and water drainage and additional multiple vertical gas-injection wells. The costs could be substantially reduced by eliminating the gas-injection wells and using triple-completed multi-functional wells. These wells are dubbed triple-completion-GDWS-AGD (TC-GDWS-AGD). In this work, we design and optimize the TC-GDWS-AGD oil recovery process in a fictitious oil reservoir (Punq-S3) that emulates a real North Sea oil field. The design aims at maximum oil recovery using a minimum number of triple-completed wells with a gas-injection completion in the vertical section of the well, and two horizontal well sections—the upper section for producing oil (from above the oil/water contact) and the lower section for draining ...

Research paper thumbnail of Development of A Multi-Completion-Gas and Downhole Water Sink-Assisted Gravity Drainage MC-GDWS-AGD Process to Enhance Oil Recovery and Reduce Water Cresting in Reservoirs With Strong Water Aquifers

The Gas and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) process functions to enhance... more The Gas and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) process functions to enhance oil recovery by placing vertical gas injectors at the top of the reservoir combined with a series of horizontal wells located in the lower part of the reservoir for oil and water production. The injected gas accumulates to form or enhance a gas cap, while oil and water drain by gravity towards the base of the reservoir due to their heavier densities. To further enhance oil recovery, and to overcome the economic limitations of using vertical gas injectors, multi-completion production wells can also be used for gas injection through their annulus sections. This novel configuration thereby achieves Multi Completion-Gas and Downhole Water Sink-Assisted Gravity Drainage (MC-GDWS-AGD). The feasibility of MC-GDWS-AGD is investigated in this study by numerical simulation of the heterogeneous PUNQ-S3 reservoir, which is surrounded and supported by strong aquifers. The MC-GDWS-AGD process aims to minimize water cut in oil production wells from offshore reservoirs with bottom water drives and strong water coning tendencies. In the combined technologies, the gas is injected through the annulus of 7-inch production casings at the top of the reservoir. Then the same casing is dually completed for two 2-3/8 inch horizontal tubing strings: one above the oil-water contact for oil production, and one beneath that contact to function as the water sink. The two completions are hydraulically isolated within the wellbore by a packer. The lower (water sink) completion employs a submersible pump and water-drainage perforations. The submersible pump drains the accumulation of water from around the well. By doing so it prevents the water from breaking through into the oil column and adversely affecting production through the horizontal oil-producing perforations. The heterogeneous multilayered PUNQ-S3 reservoir, which is surrounded by infinite aquifers, was considered to simulate this process. The MC-GDWS-AGD process simulation is designed to evaluate oil flow rate, cumulative oil production, and water cut in oil production wells. The simulation compares the performance of MC-GDWS-AGD with the GAGD and GDWS-AGD completion configurations. The simulation results reveal similar performance for the MC-GDWS-AGD and GDWS-AGD configurations, for all the parameters considered. The GDWS-AGD method slightly outperforms the MC-GDWS-AGD method by achieving a small increase in cumulative oil production from 1.8x 10 6 m 3 for the GAGD method to 1.83x 10 6 m 3. Both methods exceeded primary recovery in terms of cumulative oil production. Water cut decreased from 74% in the GAGD method to 63% in the MC-GDWS-AGD process. The oil recovery factor achieved by the MC-GDWS-AGD process increased by about 8% compared to that achieved by the GAGD method. The value of the MC-GDWS-AGD process is associated with its effectiveness to improve oil recovery by reducing the water coning, water cut, and improving gas injectivity, and at the same time reducing well costs. This new process allows for gas injection, oil, and water production to be conducted through a single multi-completed wellbore. This configuration also leads to multiple additional economic benefits, some of which are associated with the reduction of operational surface facilities in offshore oil fields.

Research paper thumbnail of Well Placement Optimization through the Triple-Completion Gas and Downhole Water Sink-Assisted Gravity Drainage (TC-GDWS-AGD) EOR Process

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

Research paper thumbnail of Immiscible CO2-Assisted Gravity Drainage Process for Enhancing Oil Recovery in Bottom Water Drive reservoir

The CO2-Assisted Gravity Drainage process (GAGD) has been introduced to become one of the most in... more The CO2-Assisted Gravity Drainage process (GAGD) has been introduced to become one of the most influential process to enhance oil recovery (EOR) methods in both secondary and tertiary recovery through immiscible and miscible mode. Its advantages came from the ability of this process to provide gravity-stable oil displacement for enhancing oil recovery. Vertical injectors for CO2 gas have been placed at the crest of the pay zone to form a gas cap which drain the oil towards the horizontal producing oil wells located above the oil-water-contact. The advantage of horizontal well is to provide big drainage area and small pressure drawdown due to the long penetration. Many simulation and physical models of CO2-AGD process have been implemented at reservoir and ambient conditions to study the effect of this method to improve oil recovery and to examine the most parameters that control the CO2-AGD process. The CO2-AGD process has been developed and tested to increase oil recovery in reserv...

Research paper thumbnail of Numerical Simulation of Immiscible CO2-Assisted Gravity Drainage Process to Enhance Oil Recovery

Iraqi Journal of Science, 2020

The Gas Assisted Gravity Drainage (GAGD) process has become one of the most important processes t... more The Gas Assisted Gravity Drainage (GAGD) process has become one of the most important processes to enhance oil recovery in both secondary and tertiary recovery stages and through immiscible and miscible modes. Its advantages came from the ability to provide gravity-stable oil displacement for improving oil recovery, when compared with conventional gas injection methods such as Continuous Gas Injection (CGI) and Water – Alternative Gas (WAG). Vertical injectors for CO2 gas were placed at the top of the reservoir to form a gas cap which drives the oil towards the horizontal oil producing wells which are located above the oil-water-contact. The GAGD process was developed and tested in vertical wells to increase oil recovery in reservoirs with bottom water drive and strong water coning tendencies. Many physical and simulation models of GAGD performance were studied at ambient and reservoir conditions to investigate the effects of this method to enhance the recovery of oil and to ex...

Research paper thumbnail of Feasibility of the Gas and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) Process to Enhance the Recovery of Oil in Reservoirs with Strong Aquifer

Feasibility of the Gas and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) Process to Enhance the Recovery of Oil in Reservoirs with Strong Aquifer

Macromolecular Characterization of Hydrocarbons for Sustainable Future

Research paper thumbnail of Immiscible CO 2 -Assisted Gravity Drainage Process for Enhancing Oil Recovery in Bottom Water Drive reservoir

The CO2-Assisted Gravity Drainage process (GAGD) has been introduced to become one of the most in... more The CO2-Assisted Gravity Drainage process (GAGD) has been introduced to become one of the most influential process to enhance oil recovery (EOR) methods in both secondary and tertiary recovery through immiscible and miscible mode. Its advantages came from the ability of this process to provide gravity-stable oil displacement for enhancing oil recovery. Vertical injectors for CO2 gas have been placed at the crest of the pay zone to form a gas cap which drain the oil towards the horizontal producing oil wells located above the oil-water-contact. The advantage of horizontal well is to provide big drainage area and small pressure drawdown due to the long penetration. Many simulation and physical models of CO2-AGD process have been implemented at reservoir and ambient conditions to study the effect of this method to improve oil recovery and to examine the most parameters that control the CO2-AGD process. The CO2-AGD process has been developed and tested to increase oil recovery in reservoirs with bottom water drive and strong water coning tendencies. In this study, a scaled prototype 3D simulation model with bottom water drive was used for CO2-assisted gravity drainage. The CO2-AGD process performance was studied. Also the effects of bottom water drive on the performance of immiscible CO2 assisted gravity drainage (enhanced oil recovery and water cut) was investigated. Four different statements scenarios through CO2-AGD process were implemented. Results revealed that: ultimate oil recovery factor increases considerably when implemented CO2-AGD process (from 13.5% to 84.3%). Recovery factor rises with increasing the activity of bottom water drive (from 77.5% to 84.3%). Also, GAGD process provides better reservoir pressure maintenance to keep water cut near 0% limit until gas flood front reaches the production well if the aquifer is active, and stays near 0% limit at all prediction period for limited water drive.

Research paper thumbnail of Numerical Simulation of Immiscible CO 2 -Assisted Gravity Drainage Process to Enhance Oil Recovery

The Gas Assisted Gravity Drainage (GAGD) process has become one of the most important processes t... more The Gas Assisted Gravity Drainage (GAGD) process has become one of the most important processes to enhance oil recovery in both secondary and tertiary recovery stages and through immiscible and miscible modes. Its advantages came from the ability to provide gravity-stable oil displacement for improving oil recovery, when compared with conventional gas injection methods such as Continuous Gas Injection (CGI) and Water-Alternative Gas (WAG). Vertical injectors for CO 2 gas were placed at the top of the reservoir to form a gas cap which drives the oil towards the horizontal oil producing wells which are located above the oil-water-contact. The GAGD process was developed and tested in vertical wells to increase oil recovery in reservoirs with bottom water drive and strong water coning tendencies. Many physical and simulation models of GAGD performance were studied at ambient and reservoir conditions to investigate the effects of this method to enhance the recovery of oil and to examine the most effective parameters that control the GAGD process. A prototype 2D simulation model based on the scaled physical model was built for CO 2-assisted gravity drainage in different statement scenarios. The effects of gas injection rate, gas injection pressure and oil production rate on the performance of immiscible CO 2-assisted gravity drainage-enhanced oil recovery were investigated. The results revealed that the ultimate oil recovery increases considerably with increasing oil production rates. Increasing gas injection rate improves the performance of the process while high pressure gas injection leads to less effective gravity mediated recovery.

Research paper thumbnail of Permeability Prediction in One of Iraqi Carbonate Reservoir Using Hydraulic Flow Units and Neural Networks

Iraqi Journal of Chemical and Petroleum Engineering, 2016

Permeability determination in Carbonate reservoir is a complex problem, due to their capability t... more Permeability determination in Carbonate reservoir is a complex problem, due to their capability to be tight and heterogeneous, also core samples are usually only available for few wells therefore predicting permeability with low cost and reliable accuracy is an important issue, for this reason permeability predictive models become very desirable. This paper will try to develop the permeability predictive model for one of Iraqi carbonate reservoir from core and well log data using the principle of Hydraulic Flow Units (HFUs). HFU is a function of Flow Zone Indicator (FZI) which is a good parameter to determine (HFUs). Histogram analysis, probability analysis and Log-Log plot of Reservoir Quality Index (RQI) versus normalized porosity (øz) are presented to identify optimal hydraulic flow units. Four HFUs were distinguished in this study area with good correlation coefficient for each HFU (R2=0.99), therefore permeability can be predicted from porosity accurately if rock type is...

Research paper thumbnail of Evaluation of Gas and Downhole Water Sink-Assisted Gravity Drainage GDWS-AGD Process in Saturated Oil Reservoirs with Infinite-Acting Aquifer

SPE Western Regional Meeting, 2019

A hybrid Gas-Enhanced and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) process has be... more A hybrid Gas-Enhanced and Downhole Water Sink-Assisted Gravity Drainage (GDWS-AGD) process has been suggested to enhance oil recovery by placing vertical injectors for CO2 at the top of the reservoir with a series of horizontal oil-producing and water-drainage wells located above and below the oil-water contact, respectively. The injected gas builds a gas cap that drives the oil to the (upper) oil-producing wells while the bottom water-drainage wells control water cresting. The hybrid process of GDWS-AGD process has been first developed and tested in vertical wells to minimize water cut in reservoirs with bottom water drive and strong water coning tendencies. The wells were dual-completed with 7-inch production casing and 2-3/8 inch tubings and perforated above the oil-water contact (OWC) for oil production and below OWC for water drainage. The two completions were hydraulically isolated inside the well by a packer. The bottom (water sink) completion drained water with a submersible...

Research paper thumbnail of Electrofacies Characterization of an Iraqi Carbonate Reservoir

Electrofacies Characterization of an Iraqi Carbonate Reservoir

Predicting peterophysical parameters and doing accurate geological modeling which are an active r... more Predicting peterophysical parameters and doing accurate geological modeling which are an active research area in petroleum industry cannot be done accurately unless the reservoir formations are classified into subgroups. Also, getting core samples from all wells and characterize them by geologists are very expensive way; therefore, we used the Electro-Facies characterization which is a simple and cost-effective approach to classify one of Iraqi heterogeneous carbonate reservoirs using commonly available well logs. The main goal of this work is to identify the optimum E-Facies units based on principal components analysis (PCA) and model based cluster analysis(MCA) depending on available well logs data for four wells from an Iraqi carbonate oil field. The optimum E-Facies units came from comparing them with geologist classification units for these four wells. Also, we conclude that the value of permeability is not important to get the optimum E-Facies units. Several runs have been tried each with different number of units using the Electro-Facies approach. The results of the techniques show very good match of the tops for various units with the actual ones. This application also shows the power and versatility of electrofacies characterization in improving reservoir descriptions in complex carbonate reservoirs.