Interpretation of sandstone reservoir using 3D-3C seismic data in Sulige Gas Field
Wanxue Xie, Yalin Li, Zhirong Li, Jianku Sun, Zhong Li, Guangming He
Abstract
Wanxue Xie, Yalin Li, Zhirong Li, Jianku Sun, Zhong Li, Guangming He
Abstract
This paper describes the interpretation of 3D-3C seismic survey acquired in Sulige Gas Field of Ordos Basin, which is located at the northwest part of China. Estimating reservoir parameters from geophysical data is vitally important in hydrocarbon exploration and production. We present a joint-inversion algorithm to estimate reservoir parameters directly, using 3D-3C seismic data. Reservoir parameters are linked to geophysical parameters through a rock-properties model. The joint inversion method for PP and PS seismic data solves approximated linear expressions of PP and PS reflection coefficients simultaneously using simulated annealing algorithm. By combining the two independent measurements (PP and PS seismic data) together, we stabilize the system of equations for PP and PS seismic data separately, leading to more robust parameter estimation.
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This paper describes the interpretation of 3D-3C seismic survey acquired in Sulige Gas Field of Ordos Basin, which is located at the northwest part of China. Estimating reservoir parameters from geophysical data is vitally important in hydrocarbon exploration and production. We present a joint-inversion algorithm to estimate reservoir parameters directly, using 3D-3C seismic data. Reservoir parameters are linked to geophysical parameters through a rock-properties model. The joint inversion method for PP and PS seismic data solves approximated linear expressions of PP and PS reflection coefficients simultaneously using simulated annealing algorithm. By combining the two independent measurements (PP and PS seismic data) together, we stabilize the system of equations for PP and PS seismic data separately, leading to more robust parameter estimation.
Key concepts: Natural gas field, Geology, Interpretation (philosophy), Petroleum engineering, Field (mathematics), Computer science, Engineering, Natural gas