Geothermal resource target evaluation method combining deep geothermal gradient and geochemical anomalies

Abstract

The present invention provides a geothermal resource target evaluation method combining deep geothermal gradient and geochemical anomalies. By acquiring the spatial boundary data of the evaluation area and constructing a set of evaluation spatial units, the invention registers and aggregates deep geothermal gradient data and geochemical anomaly data under a unified spatial datum, extracts corresponding evaluation factors, performs spatial continuity and standardization processing on the factors, generates comprehensive evaluation values based on a collaborative evaluation model, and conducts hierarchical discrimination, thereby determining the spatial distribution results of geothermal resource targets. This method realizes the quantitative and stable identification of geothermal resource targets and improves the reliability and repeatability of target division results.