Iftikhar Satti - Academia.edu (original) (raw)
Papers by Iftikhar Satti
Applied Sciences, 2022
Amplitude versus offset (AVO) analysis and attributes are frequently utilized during the early st... more Amplitude versus offset (AVO) analysis and attributes are frequently utilized during the early stages of exploration when no well has been drilled. However, there are still some drawbacks to this method, including the fact that it involves a substantial amount of time and experience, as well as the subjectivity of manual analysis. By utilizing unsupervised learning, this process can be done more objectively and faster. Unsupervised learning can detect anomalies and identify patterns to understand more about the datasets since, at this early stage of exploration, there is still a lack of information and labelling. A type of unsupervised learning referred to as self-organizing maps (SOM) is applied in this study to delineate hydrocarbons from given AVO properties that were used to detect hydrocarbons. SOM is also used to eliminate redundancy in the selection of attributes prior to the delineation procedure. The investigation began with well log data and progressed ahead into multiple ...
In this paper, data from one well is used for pore pressure prediction and geomechanical modeling... more In this paper, data from one well is used for pore pressure prediction and geomechanical modeling in clastic and carbonate reservoirs. Pore pressure is successfully predicted in the clastic and carbonates reservoirs using trend line method. Geomechanical models showed that the direction of maximum horizontal stress is north–south, perpendicular to the direction of borehole breakout propagation. Change in magnitude of principle stresses confirmed the presence of different stress regimes in the study area. From the results of this study, it is inferred that pore pressure prediction and geomechanical modeling will help to reduce the borehole failure problems and determine safe mud window.
Heat flow analysis is very important for reconnaissance as well as for pre-drill pore pressure pr... more Heat flow analysis is very important for reconnaissance as well as for pre-drill pore pressure prediction to reduce drilling hazards. This paper describes the technique to analyze the heat flow and its relation with pore pressure development. On the basis of structural interpretation, the study area comprises of four clearly defined fault blocks. In Malay Basin geothermal gradient is very high and pore pressure problem is very common at shallow depth. Temperature data obtained from Drill Stem Tests (DSTs), Modular Formation Dynamics Tests (MDTs), Repeat Formation Tests (RFTs) and production test is used for 1D basin modeling to evaluate terrestrial heat flow in all the fault blocks. Heat flow values vary from well to well within a fault block but do not show significant variation across the fault blocks. Pressure data of all the wells obtained from well tests is plotted fault block-wise to confirm the results obtained from heat flow analysis. It is inferred that high temperature and...
International Geophysical Conference, Beijing, China, 24-27 April 2018
International Geophysical Conference, Qingdao, China, 17-20 April 2017
SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, 2015
he structural interpretation of a part of eastern Potwar (Missa Keswal) has been carried out with... more he structural interpretation of a part of eastern Potwar (Missa Keswal) has been carried out with available seismological, seismic and well data. Seismological data contains both the source parameters and fault plane solution (FPS) parameters and seismic data contains ten seismic lines that were re-interpreted by using well data. Structural interpretation depicts two broad types of fault sets namely, thrust and back thrust faults. These faults together give rise to pop up structures in the study area and also responsible for many structural traps and seismicity. Seismic interpretation includes time and depth contour maps of Chorgali Formation while seismological interpretation includes focal mechanism solution (FMS), depth, frequency, magnitude bar graphs and renewal of Seismotectonic map. The Focal Mechanism Solutions (FMS) that surrounds the study area are correlated with the different geological and structural maps of the area for the determination of the nature of subsurface fau...
SPE Drilling & Completion, 2015
Geofluids, 2015
Predrill overpressure prediction is important for well planning and migration modeling for prospe... more Predrill overpressure prediction is important for well planning and migration modeling for prospect evaluation.
Heat flow analysis is very important for reconnaissance as well as for pre-drill pore pressure pr... more Heat flow analysis is very important for reconnaissance as well as for pre-drill pore pressure prediction to reduce drilling hazards. This paper describes the technique to analyze the heat flow and its relation with pore pressure. On the basis of structural interpretation, the study area comprises of four clearly defined fault blocks. Horst and graben structures are present due to the normal faulting and most of the wells are drilled in the horst structure. In Malay Basin geothermal gradient is very high and pore pressure problem is very common at shallow depth. Temperature data obtained from Repeat Formation Tests (RFTs), Drill Stem Tests (DSTs), Modular Formation Dynamics Tests (MDTs) and production test is used for 1D basin modeling to evaluate terrestrial heat flow in all the fault blocks. Heat flow values vary from well to well within a fault block but do not show significant variation across the fault blocks. Pressure data obtained from Repeated Formation Tests (RFTs), Drill S...
Asian Journal of Earth Sciences, 2015
Journal of Petroleum Exploration and Production Technology, 2013
A prime target of seismic data processing is to improve the signal-to-noise ratio of the seismic ... more A prime target of seismic data processing is to improve the signal-to-noise ratio of the seismic data. New signal processing tools such as Wavelet transform, Radon transform, Fan-beam transform, Ridgelet transform and Curvelet transform have proven their results in image processing. A comparative study has been performed with these techniques to test their ability to increase the signal-to-noise ratio of seismic data by removing random noises. We then described the comprehensive mathematical formulation of these algorithms and tested them on both synthetic seismic data, which was created with a known signal-to-noise ratio with desired geologic features, and real seismic data, which contained curved features with random noise. Wavelet transform, which extends the robustness of frequencydependent filtering by adding time dimension and multiscale wavelet translation, improves the signal-to noise-ratio through the threshold coefficient filtering of random noise. The Radon transform and Fan-beam transform provide the opportunity of angle-dependent filtering, but produce adverse effects on curved features of seismic data and decrease seismic resolution. Ridgelet and Curvelet transform are more robust than Radon and Fan-beam transform. But Ridgelet transform, which uses Radon transform in its coefficient calculation, also produces adverse effects on curved features and threshold filtering leads to a decrease in the signal-to-noise ratio. The results have shown that the Curvelet transform is robust enough to handle random noise and also preserve the inclined and curved features of seismic data. However, its coefficient calculation requires large computation time and memory space.
Arabian Journal of Geosciences, 2014
ABSTRACT Quantitative predrill pore pressure prediction is very important for reducing the drilli... more ABSTRACT Quantitative predrill pore pressure prediction is very important for reducing the drilling hazards. In many Tertiary basins, generation of overpressure is mainly by compaction disequilibrium due to high deposition rate and low permeability in shale. In the Malay Basin, high geothermal gradient (i.e., 40–60 °C/km) and high heat flow also play an important role in generating overpressure at shallow depth. This study describes the utilization of 3-D prestack depth-migrated seismic interval velocity for predrill pore pressure prediction in a field of southwestern Malay Basin. The quality of 3-D prestack depth-migrated seismic interval velocity was enhanced by calibration with check-shot data. Modified Gardner’s equation was used to generate the 3-D density cube from the interval velocity. The Eaton and Bowers methods were used to compute and predict pore pressure values from the seismic velocity. The Eaton method with standard exponent for seismic velocity gave good prediction in the shallower zone where overpressure is caused by undercompaction mechanism, whereas underpredicted the high pore pressure at the greater depth where fluid expansion is the cause of overpressure. However, the overpressures were predicted quite well by applying correction on the Eaton method for fluid expansion mechanism.
Offshore Technology Conference-Asia, 2014
Proceeding for the 2nd Annual International Conference on Geological & Earth Sciences (GEOS 2013), 2013
Applied Sciences, 2022
Amplitude versus offset (AVO) analysis and attributes are frequently utilized during the early st... more Amplitude versus offset (AVO) analysis and attributes are frequently utilized during the early stages of exploration when no well has been drilled. However, there are still some drawbacks to this method, including the fact that it involves a substantial amount of time and experience, as well as the subjectivity of manual analysis. By utilizing unsupervised learning, this process can be done more objectively and faster. Unsupervised learning can detect anomalies and identify patterns to understand more about the datasets since, at this early stage of exploration, there is still a lack of information and labelling. A type of unsupervised learning referred to as self-organizing maps (SOM) is applied in this study to delineate hydrocarbons from given AVO properties that were used to detect hydrocarbons. SOM is also used to eliminate redundancy in the selection of attributes prior to the delineation procedure. The investigation began with well log data and progressed ahead into multiple ...
In this paper, data from one well is used for pore pressure prediction and geomechanical modeling... more In this paper, data from one well is used for pore pressure prediction and geomechanical modeling in clastic and carbonate reservoirs. Pore pressure is successfully predicted in the clastic and carbonates reservoirs using trend line method. Geomechanical models showed that the direction of maximum horizontal stress is north–south, perpendicular to the direction of borehole breakout propagation. Change in magnitude of principle stresses confirmed the presence of different stress regimes in the study area. From the results of this study, it is inferred that pore pressure prediction and geomechanical modeling will help to reduce the borehole failure problems and determine safe mud window.
Heat flow analysis is very important for reconnaissance as well as for pre-drill pore pressure pr... more Heat flow analysis is very important for reconnaissance as well as for pre-drill pore pressure prediction to reduce drilling hazards. This paper describes the technique to analyze the heat flow and its relation with pore pressure development. On the basis of structural interpretation, the study area comprises of four clearly defined fault blocks. In Malay Basin geothermal gradient is very high and pore pressure problem is very common at shallow depth. Temperature data obtained from Drill Stem Tests (DSTs), Modular Formation Dynamics Tests (MDTs), Repeat Formation Tests (RFTs) and production test is used for 1D basin modeling to evaluate terrestrial heat flow in all the fault blocks. Heat flow values vary from well to well within a fault block but do not show significant variation across the fault blocks. Pressure data of all the wells obtained from well tests is plotted fault block-wise to confirm the results obtained from heat flow analysis. It is inferred that high temperature and...
International Geophysical Conference, Beijing, China, 24-27 April 2018
International Geophysical Conference, Qingdao, China, 17-20 April 2017
SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, 2015
he structural interpretation of a part of eastern Potwar (Missa Keswal) has been carried out with... more he structural interpretation of a part of eastern Potwar (Missa Keswal) has been carried out with available seismological, seismic and well data. Seismological data contains both the source parameters and fault plane solution (FPS) parameters and seismic data contains ten seismic lines that were re-interpreted by using well data. Structural interpretation depicts two broad types of fault sets namely, thrust and back thrust faults. These faults together give rise to pop up structures in the study area and also responsible for many structural traps and seismicity. Seismic interpretation includes time and depth contour maps of Chorgali Formation while seismological interpretation includes focal mechanism solution (FMS), depth, frequency, magnitude bar graphs and renewal of Seismotectonic map. The Focal Mechanism Solutions (FMS) that surrounds the study area are correlated with the different geological and structural maps of the area for the determination of the nature of subsurface fau...
SPE Drilling & Completion, 2015
Geofluids, 2015
Predrill overpressure prediction is important for well planning and migration modeling for prospe... more Predrill overpressure prediction is important for well planning and migration modeling for prospect evaluation.
Heat flow analysis is very important for reconnaissance as well as for pre-drill pore pressure pr... more Heat flow analysis is very important for reconnaissance as well as for pre-drill pore pressure prediction to reduce drilling hazards. This paper describes the technique to analyze the heat flow and its relation with pore pressure. On the basis of structural interpretation, the study area comprises of four clearly defined fault blocks. Horst and graben structures are present due to the normal faulting and most of the wells are drilled in the horst structure. In Malay Basin geothermal gradient is very high and pore pressure problem is very common at shallow depth. Temperature data obtained from Repeat Formation Tests (RFTs), Drill Stem Tests (DSTs), Modular Formation Dynamics Tests (MDTs) and production test is used for 1D basin modeling to evaluate terrestrial heat flow in all the fault blocks. Heat flow values vary from well to well within a fault block but do not show significant variation across the fault blocks. Pressure data obtained from Repeated Formation Tests (RFTs), Drill S...
Asian Journal of Earth Sciences, 2015
Journal of Petroleum Exploration and Production Technology, 2013
A prime target of seismic data processing is to improve the signal-to-noise ratio of the seismic ... more A prime target of seismic data processing is to improve the signal-to-noise ratio of the seismic data. New signal processing tools such as Wavelet transform, Radon transform, Fan-beam transform, Ridgelet transform and Curvelet transform have proven their results in image processing. A comparative study has been performed with these techniques to test their ability to increase the signal-to-noise ratio of seismic data by removing random noises. We then described the comprehensive mathematical formulation of these algorithms and tested them on both synthetic seismic data, which was created with a known signal-to-noise ratio with desired geologic features, and real seismic data, which contained curved features with random noise. Wavelet transform, which extends the robustness of frequencydependent filtering by adding time dimension and multiscale wavelet translation, improves the signal-to noise-ratio through the threshold coefficient filtering of random noise. The Radon transform and Fan-beam transform provide the opportunity of angle-dependent filtering, but produce adverse effects on curved features of seismic data and decrease seismic resolution. Ridgelet and Curvelet transform are more robust than Radon and Fan-beam transform. But Ridgelet transform, which uses Radon transform in its coefficient calculation, also produces adverse effects on curved features and threshold filtering leads to a decrease in the signal-to-noise ratio. The results have shown that the Curvelet transform is robust enough to handle random noise and also preserve the inclined and curved features of seismic data. However, its coefficient calculation requires large computation time and memory space.
Arabian Journal of Geosciences, 2014
ABSTRACT Quantitative predrill pore pressure prediction is very important for reducing the drilli... more ABSTRACT Quantitative predrill pore pressure prediction is very important for reducing the drilling hazards. In many Tertiary basins, generation of overpressure is mainly by compaction disequilibrium due to high deposition rate and low permeability in shale. In the Malay Basin, high geothermal gradient (i.e., 40–60 °C/km) and high heat flow also play an important role in generating overpressure at shallow depth. This study describes the utilization of 3-D prestack depth-migrated seismic interval velocity for predrill pore pressure prediction in a field of southwestern Malay Basin. The quality of 3-D prestack depth-migrated seismic interval velocity was enhanced by calibration with check-shot data. Modified Gardner’s equation was used to generate the 3-D density cube from the interval velocity. The Eaton and Bowers methods were used to compute and predict pore pressure values from the seismic velocity. The Eaton method with standard exponent for seismic velocity gave good prediction in the shallower zone where overpressure is caused by undercompaction mechanism, whereas underpredicted the high pore pressure at the greater depth where fluid expansion is the cause of overpressure. However, the overpressures were predicted quite well by applying correction on the Eaton method for fluid expansion mechanism.
Offshore Technology Conference-Asia, 2014
Proceeding for the 2nd Annual International Conference on Geological & Earth Sciences (GEOS 2013), 2013