Seismic identification method of ultra-deep strike-slip fault zones in Tarim Basin
LI Xiangwen1,2,3, LI Jingye2,3, LIU Yonglei1, TAO Chunfeng4, ZHANG Liangliang1, ZHANG Guanqing1
1. Geophysical Research Institute of BGP Inc., CNPC, Zhuozhou, Hebei 072750, China; 2. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China; 3. CNPC Key Laboratory of Geophysical Exploration, China University of Petroleum (Beijing), Beijing 102249, China; 4. Geophysical Research & Development Center of BGP Inc., CNPC, Zhuozhou, Hebei 072750, China
Abstract：The ultra-deep (7500-9000 m) strike-slip fault zones (SFZs) are the important oil and gas enrichment zones in the Tarim Basin. The formation of ultra-deep heterogeneous reservoirs is closely rela-ted to the reformation and dissolution of SFZs, and SFZs are characterized by disordered seismic reflections with different energy. How to accurately identify SFZs in the ultra-deep tight limestone is one of the problems that need to be solved for higher productivity of oilfields. Therefore, a combined method for seismic identification of ultra-deep SFZs is proposed. Firstly, a transverse smoothing filter based on the seismic dip angle data is constructed by the introduction of the scanning results of formation dip angles, and the transverse smoothing filter is applied to the original seismic data to obtain the transverse trend data with local stratigraphic background characteristics. Then, the residual between the transverse trend data of the formation energy background and the original seismic data is calculated, and the enhanced response data of SFZs is finally obtained, which can guide the identification of SFZs. The model test and practical data application show that the seismic data produced by this method has significantly higher discrimination of heterogeneous geological bodies, which can effectively identify faults of different scales and distinguish fractures and cavities submerged in the background of formation energy. This method has strong applicability and is worth popularizing for the identification of similar geolo-gical bodies.
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