Abstract To predict complex reservoir spaces (with developed caves, pores, and fractures), based on the results of full-azimuth depth migration processing, we adopted reverse weighted nonlinear inversion to improve the accuracy of porous reservoir prediction. Scattering imaging three-parameter wavelet transform technology was used to accurately predict small-scale cave bodies. The joint inversion method of velocity and amplitude anisotropy was developed to improve the accuracy of small and medium-sized fracture prediction. The results of multiscale fracture modeling and characterization, interwell connectivity analysis, and connection path prediction are consistent with the production condition. Finally, based on the above prediction findings, favorable reservoir development areas were predicted. The above ideas and strategies have great application value for the efficient exploration and development of complex storage space reservoirs and the optimization of high-yield well locations.
2024, Vol. 21 
