Research on the Characterization Method of Micro-Fracture Systems between Main Fault Zones

The strike-slip faults are developed in the Ordovician tight limestone strata in the Tarim Basin, and the buried depth of the fault active strata is 6000–12000 m. The fracture zone controlled by strike-slip faults is the main controlling factor of reservoir, migration and accumulation during the formation of carbonate reservoirs. The exploration and development of the main fault zone in Tarim Oilfield has reached a certain stage. The regional oil and gas exploration between the main fault zones has become the main field of oil and gas exploration in the next step. The micro-fault system has become one of the key research objects. It is urgent to carry out research on the micro-scale fault system between the main fault zones. At present, the identification method of fracture is mainly based on the characteristics of fracture in the section, combined with coherence, the plane sensitive attributes such as structural curvature are used to describe the faults. This kind of technology can effectively identify the distribution law of large-scale faults. However, for the micro-scale fault system between the main fault zones, the prediction accuracy is relatively low due to the small fault distance, short lateral extension, complex plane combination relationship, and diverse directions of the micro-scale fault system.In this paper, the geological stress characteristics generated by the interaction between the main fault zones are taken as the background, and the seismic information extraction and enhanced scanning are carried out for the micro-fault system between the main fault zones. The fault enhanced scanning of the wavelet reconstruction data body after removing the strong amplitude wavelet is used as the basic data. By combining the geological law and drilling data, the common tracking of effective spatial eigenvalues and the carving of three-dimensional spatial characteristics are carried out, which provides a strong basis for the optimization and deployment of reservoir development wells.