Image recognition method of gravity fracture based on tectonic background

Abstract

The invention provides a gravity fracture image recognition method based on structural background, including: step 1, carry out Bouguer gravity anomaly preprocessing, and form basic data for processing and interpretation; step 2, carry out gravity difference trend surface field source separation, quantitative Describe the gravity anomaly response of the target formation; step 3, carry out gravity anomaly enhancement and processing transformation, enhance the weak information of linear structure, and highlight the linear image of small-level faults; step 4, combine multiple processing and transformation results to establish a nonlinear target with narrowed gradient zone function; step 5, conduct comprehensive analysis of fracture linear images, and determine the occurrence and combination patterns of fractures at different levels. The gravity fracture image recognition method based on the structural background improves the effectiveness and practicability of the gravity data to finely describe the fracture target, improves the lateral resolution ability, highlights the fault boundary characteristics, and can more clearly identify the fault structural framework.

Description

technical field [0001] The invention relates to the technical field of regional structural fracture identification, in particular to an image identification method for gravity fractures based on structural background. Background technique [0002] Research on faults is of great significance in prospecting for ore, water, oil and gas, and construction of water conservancy projects, because faults are channels for ore fluids and control the formation and occurrence of ore bodies. Faults can also destroy the formed ore bodies, and the continuation of the ore bodies can only be inferred based on the nature of the faults. Faults are important pathways for oil and gas migration and enrichment, and fault structures must be ascertained in oil and gas exploration. When carrying out engineering construction, it is necessary to have a detailed understanding of the fault conditions of the foundation to determine a better engineering base and ensure the stability of the project. [000...

AI Technical Summary

Problems solved by technology

However, these conventional methods have some technical defects, such as not obvious fracture boundary features, wide gradient zone, low lateral resolution, and inaccurate identification of fracture position and trend; in addition, because only abnormal step zones are processed, it is impossible to Finely describe the nature of different levels of fractures in the region, resulting in low accuracy in identifying fractures from gravity data

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