Seismic rock physics modeling and shear wave velocity prediction method of coal measure strata
ZHOU Qi1,2, YIN Xingyao1,2, LI Kun1,2
1. School of Geosciences, China University of Petroleum (East China), Qingdao, Shandong 266580, China; 2. Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong 266071, China
Abstract：The development potential of oil and gas resources in coal measure strata is great. However, existing seismic rock physics modeling methods lack systematic research on petrophysical properties of reservoirs containing coal. In response, a self-consistent approximation (SCA) model was used to couple the influence of coal and added it to the background medium in the form of inclusion. In this way, a seismic rock physics model was constructed which was suitable for coal-bearing reservoirs. The sensitive elastic parameters characterizing physical properties of reservoirs were selected according to the analysis of how the rock elastic modulus was influenced by microphysical parameters, such as the proportion of coal seam, shale content, water saturation, and porosity. The objective function of petrophysical inversion was derived with P-wave velocity as constraint, and S-wave velocity was predicted by using simulated annealing global optimization algorithm. The method was applied to actual logging data, and the predicted shear wave velocity was in good agreement with the measured data, which proved the applicability of the model to coal measure strata.
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