Fault zone identification method

Abstract

The invention relates to a fault zone identification method. The fault zone identification method comprises the following steps: 1, preparing a raw seismic data volume; 2, performing fine pretreatment; 3, calculating a structural guide body; 4, calculating an edge detection data volume; 5, obtaining a fault enhancement data volume; 6, calculating a seismic gradient structure tensor eigenvalue datavolume and acquiring an eigenvalue data volume representing the chaotic reflection characteristics of a fault zone; 7, acquiring a fault zone structure data volume; and 8, performing data volume fusion processing on the fault enhancement data volume and the fault zone structure data volume to obtain a fault zone prediction result. According to the fault zone identification method, fault enhancement attribute data and fault zone structure attribute data are fused to obtain the attribute data which can reflect the external contour of the fault zone and the internal characteristics of the faultzone are finally obtained; a technical method and process are provided for the prediction of the fault zone; and therefore, the fault zone identification method has further popularization and application value.

Description

technical field

[0001] The invention belongs to the field of oil and gas geophysics, and in particular relates to a fault identification method, in particular to a strike-slip fault zone identification method. Background technique

[0002] In recent years, more and more oil and gas have been discovered in fractured reservoirs, and the reserves have continued to expand. The exploration of fractured reservoirs has received widespread attention. Accurate fracture prediction results are crucial for drilling and subsequent development. At present, many relatively mature seismic detection methods for fractured reservoirs have been developed at home and abroad, such as post-stack seismic fracture prediction methods: mainly including three-dimensional coherence volume, mutation or fractal dimension, dip scanning technology, three-dimensional variance volume, spectral decomposition, Multi-scale edge detection, etc.; using 3D wide-azimuth seismic data to carry out fracture prediction ...

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