Simulation and analysis of dynamic monitoring of oil and gas reservoir based on grounded electric source TEM
WANG Xinyu1,2, YAN Liangjun1,2, MAO Yurong1,2
1. Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, Hubei 430100, China; 2. Cooperative Innovation Center of Unconventional Oil and Gas, Wuhan, Hubei 430100, China
Abstract：The change of acoustic impedance is small before and after the remaining oil and gas in a reservoir is displaced by fluid during oil and gas reservoir recovery, which can cause the failure of time-lapse seismic monitoring. However, the resistivity changes greatly before and after the displacement, and thus the time-lapse electromagnetic method has inherent advantages in the dynamic monitoring of oil and gas reservoirs. In light of this, we explore the capability of the grounded electric source TEM (transient electromagnetic) method for dynamic monitoring of remaining oil and gas reservoirs through three-dimensional (3D) numerical simulation. More importantly, to improve the numerical simulation accuracy, we use the difference scheme with variable step size from the second-order backward Eulerian method (BDF2) on the basis of the unstructured-grid vector finite element method. In this way, we realize the 3D forward modeling of grounded electric source TEM. In addition, the comparison between the analytical solution of a uniform half-space electromagnetic field and the numerical result of the 3D complex model verifies that the method meets the accuracy requirements of forward modeling. Utilizing this simulation method, we calculate and analyze the dynamic monitoring response characteristics of the relative anomalies of an oil and gas reservoir model under complex geological background. Subsequently, numerical modeling is performed for the actual geological data of Fuling shale gas, and the relative anomalies of electric field before and after fracturing are investigated. The results show that the grounded electric source TEM method has a good response for dynamic monitoring of oil and gas reservoirs and can meet the geological requirements of dynamic monitoring of complex 3D oil and gas reservoirs, which thus has broad application prospects.
王新宇, 严良俊, 毛玉蓉. 电性源瞬变电磁法油气藏动态监测模拟分析[J]. 石油地球物理勘探, 2022, 57(2): 459-466.
WANG Xinyu, YAN Liangjun, MAO Yurong. Simulation and analysis of dynamic monitoring of oil and gas reservoir based on grounded electric source TEM. Oil Geophysical Prospecting, 2022, 57(2): 459-466.
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