A coal seam parting characterization method, device and storage medium
By using full-diameter spiral CT scanning and inorganic mineral classification and identification charts, combined with image processing technology, the problems of low resolution and high destructiveness in the evaluation of inorganic minerals and brittle parameters in coal reservoirs have been solved. Millimeter-level quantitative evaluation of the entire well section has been achieved, improving the accuracy and reliability of the evaluation and providing precise data for coalbed methane development.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- PETROCHINA CO LTD
- Filing Date
- 2024-12-27
- Publication Date
- 2026-06-30
AI Technical Summary
Existing technologies for evaluating inorganic mineral content and brittleness parameters in coal reservoirs suffer from problems such as being time-consuming, highly destructive, having low resolution, and yielding inaccurate results, making it difficult to achieve millimeter-level quantitative evaluation across the entire well section.
High-resolution grayscale images of coal seams are obtained using full-diameter spiral CT scanning technology. Combined with inorganic mineral classification and identification charts and image processing technology, inorganic minerals are accurately classified, and brittleness parameters are calculated to generate a comprehensive evaluation map of mineral content and brittleness parameters for the entire coal reservoir section.
It has achieved precise classification of inorganic minerals in coal seams and accurate calculation of brittleness parameters, and for the first time realized millimeter-level quantitative evaluation of the entire well section, improving the accuracy and reliability of the evaluation and providing key data support for coalbed methane development.
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