A geological exploration borehole quality detection method and system based on image processing

By integrating multimodal image processing technology, the structural and material anomalies of borehole cores are identified and diagnosed, solving the problems of objectivity and quantification in borehole quality assessment and achieving accurate assessment and data-driven optimization of borehole quality.

CN122135082APending Publication Date: 2026-06-02四川省第一地质大队 +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
四川省第一地质大队
Filing Date
2026-02-09
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing technologies make it difficult to objectively and quantitatively evaluate borehole quality, resulting in exploration operations being unable to obtain real geological information in a timely and accurate manner, and core evaluation is limited by subjective experience and is inefficient.

Method used

An image processing-based approach is used to integrate two-dimensional color images, three-dimensional topographic point clouds, and infrared thermal imaging data. Through multimodal perception data fusion, the structural and material anomaly characteristics of the core surface are identified, the genesis is diagnosed, the geological information fidelity weight is calculated, and the borehole quality is evaluated.

Benefits of technology

It enables an objective distinction between the geological and engineering-induced causes of core defects, accurately locates mud contamination and human disturbance, provides data-driven borehole quality assessment, and ensures the originality and reliability of geological exploration data.

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Abstract

The application relates to the technical field of geological exploration services, and discloses a geological exploration drilling quality detection method and system based on image processing, which realizes comprehensive digital collection of cores from macroscopic morphology to microscopic physical properties by integrating multi-modal perception data of two-dimensional vision, three-dimensional morphology and infrared thermal imaging and fusing footage position information. Analysis logic from feature recognition, cause diagnosis to fidelity quantization is constructed, so that geological causes and engineering induced causes of core defects can be objectively distinguished, and then the geological information equivalent sampling rate is determined, subjective misjudgment is greatly reduced, and the positions and degrees of mud invasion, human disturbance and process damage can be accurately positioned, which provides direct data-driven basis for drilling quality evaluation, on-site timely optimization of drilling technology and subsequent laboratory screening of effective samples, and comprehensively guarantees the originality and reliability of geological exploration data.
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