4D reservoir characterization using well log data for feasible CO2-enhanced oil recovery at Ankleshwar, Cambay Basin - A rock physics diagnostic and modeling approach

被引:17
|
作者
Ganguli, Shib Sankar [1 ]
Vedanti, Nimisha
Dimri, V. P.
机构
[1] CSIR, NGRI, Hyderabad 500007, Andhra Pradesh, India
关键词
4D/time-lapse reservoir characterization; RPT analysis; CO2-EOR; Rock physics; Cambay Basin; IN-SITU COMBUSTION; CLAY CONTENT; POROSITY; FIELD; CLASSIFICATION; VELOCITIES; SANDSTONES; LITHOLOGY; INDIA;
D O I
10.1016/j.jappgeo.2016.10.007
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In recent years, rock physics modeling has become an integral part of reservoir characterization as it provides the fundamental relationship between geophysical measurements and reservoir rock properties. These models are also used to quantify the effect of fluid saturation and stress on reservoir rocks by tracking the changes in elastic properties during production. Additionally, various rock physics models can be applied to obtain the information of rock properties away from existing drilled wells, which can play a crucial role in the feasibility assessment of CO2-enhanced oil recovery (EOR) operation at field. Thus, the objective of this study is to develop a rock-physics model of the Ankleshwar reservoir to predict the reservoir response under CO2-EOR. The Ankleshwar oil field is a mature field situated in Cambay Basin (Western India) that witnessed massive peripheral water flooding for around 40 years. Since the field was under water flooding for a long term, reasonable changes in reservoir elastic properties might have occurred. To identify potential reservoir zone with significant bypassed (or residual) oil saturation, we applied the diagnostic rock physics models to two available wells from the Ankleshwar oil field. The results clearly indicate transitions from clean sands to shaly sands at the base, and from sandy shale to pure shale at the top of the reservoir pay zone, suggesting a different seismic response at the top when compared to the base of the reservoir in both the wells. We also found that clay content and sorting affects the elastic properties of these sands, indicating different depositional scenario for the oil sands encountered in the Ankleshwar formation. Nevertheless, the rock physics template (RPT) analysis of the well data provides valuable information about the residual oil zone, a potential target for CO2-EOR. Further, a 4D reservoir characterization study has been conducted to assess the seismic detectability of CO2-EOR, and we observed that the injected CO2 changes the Vp, Vp/Vs and P-wave impedance (PI) dramatically, suggesting a reasonable change in the seismic response of the reservoir, even if we consider patchy saturation model. Thus, it is highly advisable to conduct 4D/time-lapse seismic monitoring in this field for optimized production by CO2-EOR and the reservoir management. (C) 2016 Elsevier B.V. All rights reserved.
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页码:111 / 121
页数:11
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