Multi-source information fusion and intelligent interpretation method in hot dry rock fracture identification

Abstract

The present application discloses a dry hot rock fracture identification multi-source information fusion and intelligent interpretation technology, specifically comprising the following steps: step one: data acquisition: collecting multi-source data including seismic reflection wave, well logging lithology parameter, electromagnetic anomaly data, thermal infrared remote sensing image, and establishing a dry hot rock reservoir physical property parameter database, step two: data preprocessing: denoising and migration correction are carried out on seismic data, well logging data is normalized, electromagnetic data is inverted resistivity distribution, and temperature anomaly area is extracted from thermal infrared image, the present application relates to the geothermal development technical field. The dry hot rock fracture identification multi-source information fusion and intelligent interpretation technology integrates geological, geophysical, remote sensing and drilling data and other multi-modal information, combines feature level and decision level fusion strategy, effectively makes up for the sensing blind area of single sensor, and pre-processes the data, effectively improves the inhibition ability of seismic wave noise, electromagnetic interference and complex environmental factors.

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