Iterative History Matching Technique for Estimating Reservoir Parameters from Seismic Data (original) (raw)

Petro-Elastic Parameters Effects on History Matching Procedures

SPE EUROPEC/EAGE Annual Conference and Exhibition, 2011

Rock physics models are the quantitative link between the seismic information and reservoir properties. Thus, several authors have been used this link to develop methodologies aiming to integrate seismic derived information and production history matching. Nevertheless, there are significant uncertainties related to petro-elastic parameters definition and its effects on typical history matching results. This paper evaluates this problem through the application of two history matching procedures. The empirical allowed range of petro-elastic parameters regarding fluid and rock behavior, such as temperature, salinity and porosity, mineral and dry rock modulus, respectively, are combined to define different data sets. Each set defines petro-elastic models to be coupled to a numerical reservoir model providing synthetic impedance distributions. These sets of impedance are then used in two different integrated history matching techniques. First, each set is combined with production data defining a global objective function to be minimized and provide a new horizontal permeability distribution resulting in an updated model. Secondly, a constrained inversion procedure is applied to convert impedance into saturation and pressure distributions. These maps indicate the optimization regions and the quantitative seismic information to improve the global objective function minimization accuracy aiming to derive a new permeability distribution. Thus, permeability and bottom-hole pressure from the updated reservoir models are compared to evaluate the several combinations of petro-elastic parameters effects. The major goals of this paper were to quantify the petro-elastic parameters definition effects on history matching procedures, indicating which of them is more sensitive to their variations. Furthermore, it was possible to assess their individual impact in the history matching results and highlight the importance of a careful definition of these parameters and its coherent integration with fluid flow models. This approach also contributes to quantitative integration aspects of oil reservoir development and management.

Quantitative Integration of Time-Lapse Seismic Derived Information in a History Matching Procedure

SPE EUROPEC/EAGE Annual Conference and Exhibition, 2011

The use of production data to increase the reliability of production forecasts of a field is limited, especially in early development, when there are fewer observed data and then a significant uncertainties raise. An alternative to improve the quality of the model is the use of saturation and pressure maps obtained from time-lapse seismic. The incorporation of this information has not been explored in reservoir engineering studies and has great potential for reducing uncertainties caused by lack of information and complexity of oil fields. Recent work indicates that the best way to use this information to calibrate reservoir numerical models is to convert it into saturation and pressure. Thus, this study aims to derive, from time-lapse seismic attributes, distributions of saturation and pressure in oil reservoirs. This paper presents a methodology to estimate saturation and pressure maps simultaneously through an inversion process constrained by engineering data. These maps information are then combined with production data in a global objective function aiming at improving an integrated history matching procedure. This methodology is applied in a modified model of the "Namorado Field" (Campos Basin, Brazil), that has geological faults and high permeability channels. It was also necessary to apply an empirical modeling of the rock bulk modules regarding pressure variations, which improved the reservoir acoustic sensitivity and allowed, together with the engineering data constraints, to derive these maps. It was possible to identify the main structures that can influence fluid flow trends in the reservoir and significantly reduce time consuming and increase the reservoir behavior predictions reliability. As major contributions of this study are the development of a methodology able to provide saturation and pressure trends regarding time-lapse information and engineering data constraints to the overall process and its quantitative application in an integrated history matching procedure.

Novel Ways of Parameterizing the History-Matching Problem

SPE Latin American and Caribbean Petroleum Engineering Conference, 2005

One of the challenges when making a history match study is to find an adequate parameterization for the reservoir model. The main assumptions of the geological characterization should be respect and the influence of parameters on the fluid flow simulation results should be taken into account. On the other hand, the number of parameters should be kept within reasonable bounds in order to make the process viable. In this work, three examples of novel ways to parameterize the history match problem will be shown. Two of them are real field cases and one is a synthetic case based on outcrop data. Common to all examples is the choice of parameters that are related to the geological model building process, such as the variogram in a geostatiscal modeling or correlations between petrophysical properties (permeability x porosity, for instance). In this context, the use of a versatile history matching tool was essential, allowing for a quantitative evaluation for the quality of the match and ...

A New Algorithm for Automatic History Matching

Society of Petroleum Engineers Journal, 1974

History-matching problems, in which reservoir parameters are to be estimated from well pressure parameters are to be estimated from well pressure data, are formulated as optimal control problems. The necessary conditions for optimality lead naturally to gradient optimization methods for determining the optimal parameter estimates. the key feature of the approach is that reservoir properties are considered as continuous functions properties are considered as continuous functions of position rather than as uniform in a certain number of zones. The optimal control approach is illustrated on a hypothetical reservoir and on an actual Saudi Arabian reservoir, both characterized by single-phase flow. A significant saving in computing time over conventional constant-zone gradient optimization methods is demonstrated. Introduction The process of determining in a mathematical reservoir model unknown parameter valuessuch as permeability and porositythat give the closest permeability and porosi...

History Matching Using Uncertainty Analysis

Canadian International Petroleum Conference, 2003

A example of history match is presented, for a reservoir which the original simulation model does not reflect the production behavior. The remaining uncertain attributes were evaluated through a dynamic procedure during the sensitivity analysis. The objective of this work is to present new approaches to improve history matches.

Computer assisted history matching: A comprehensive study of methodology

2013

History matching is an important step in reservoir simulation study. The objective is to validate a reservoir model before it is used for prediction. In conventional way, people do history matching by manually adjusting uncertain parameters until an acceptable match is achieved. As a consequence, history matching becomes a delicate problem and consumes a lot of time. Furthermore, in several cases it is hard to obtain a match by manual process. In order to have a more efficient history matching process, many researchers conducted studies by involving a computer based program to obtain a match. The method is normally called assisted history matching (AHM). One of the AHM methods involves the use of experimental design, proxy model and optimization algorithm. The basic concept of this method is to use proxy model which is generated from set of experiments to replace reservoir simulation in the optimization process. This method has practical application in the industry. However, without a proper understanding, using this method to solve a history matching problem would be as difficult as conventional way. In this master thesis, an extensive study of AHM methodology is performed in order to have a comprehensive understanding on how the methodology solves a history matching problem. The methodology limitations are also identified so that proper improvements can be carried out. The main improvements are the introduction of average proxy error in objective function and the proposal of selecting response variables to become matching variables based on the quality of proxy model. This study also investigates different experimental design methods, proxy models and global optimization algorithms. In experimental design subject, complete CCF design and fractional CCF design are elaborated. Two types of proxy models e.g. kriging and second polynomial equation were investigated. Four optimization algorithms e.g. simulated annealing, direct search, global search and genetic algorithm are analyzed to select the best performance algorithm. In the final stage, the improved methodology was used to solve history matching problem of two artificial study cases. This thesis is accomplished in the framework of obtaining the Master of Science of Petroleum Engineering at University of Stavanger. In this occasion, I would like to thank to Prof. Dr. Hans Kleppe for the support and technical guidance given during the Master thesis research. It was a great chance and experience of exchanging knowledge. An optimal condition to study is of course supported strongly by the facilities and the financial support. Therefore I would like to thank University of Stavanger and Norwegian Government for financing my study through Quota Scheme Scholarship Program. Moreover, I would like to thank to all of my friends, especially Ceyhun Sadigov for the great friendship and how we all struggle hard for our studies and future. And most important gratitude I would like to dedicate to my family (especially my parents) and my wife Ratna Ayu Savitri for their amazing support. I am a step closer to realizing all my dreams.

Schemes for automatic history matching of reservoir modeling: A case of Nelson oilfield in UK

Petroleum Exploration and Development, 2012

Schemes for automatic history matching of reservoir modeling are studied for the Nelson oilfield in the Central North Sea. A complete workflow of automatic history matching involves selection of reservoir variables that require modification and parameter updating schemes, automatic history matching, data analysis, and combination of the best results to obtain an ensemble of best reservoir models. Automatic history matching of Nelson field is conducted using production and time-lapse seismic data, with global single-variable approach, regional multi-variable approach and local multi-variable approach as updating schemes, net to gross, horizontal and vertical permeability as updating parameters. It is revealed that local multi-variable approach can effectively improve history matched results by reducing the number of simulation models, saving computing time and increasing the simulation precision. Global single-variable approach is only a suitable parameter updating scheme for cases where the history matching parameters are independent. Regional multi-variable approach is suitable for the cases where there is strong dependency between properties chosen for updating, and there are wells very close together with strong interaction. Local multi-variable approach is very useful when the history matching parameters are dependent but each selected region for updating is independent of others.

Assisted History Matching Benchmarking: Design of Experiments-based Techniques

All Days, 2014

A s the role of reservoir-flow simulation increasingly affects existing operations and fielddevelopment decisions, it follows that rigor, fitness, and consistency should be imposed on the calibration of reservoirflow models to dynamic data through history matching. To evaluate the applicability of the diverse techniques available, a study was performed to benchmark common assisted-historymatching (AHM) techniques. To benchmark the techniques consistently, a set of standards was defined against which each was evaluated. Of the techniques evaluated, the design-ofexperiments (DOE)-based approach uniquely satisfied all requirements.

HISTORY MATCHING WITH UNCERTAINTY QUANTIFICATION

We present three methods for history matching and uncertainty quantification tested on a synthetic test case. The test case contains ¢ ¡ ¤ £ ¥ active grid blocks. There are six production wells in the reservoir.