While-drilling intelligent lithology and fluid simultaneous identification method and device and electronic equipment

Through voiceprint recognition technology and artificial intelligence algorithms, combined with wireless transmission and big data, the identification accuracy and efficiency of traditional drilling fluid recognition technology in complex geological environments is solved, real-time and accurate lithologic and fluid type recognition is achieved. , reduces costs and optimizes drilling strategies.

CN119128598APending Publication Date: 2024-12-13INSTITUTE OF GEOLOGY AND GEOPHYSICS CHINESE ACADEMY OF SCIENCES
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Patent Information

Application Number
CN202411277959.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-12
Publication Date
2024-12-13

AI Technical Summary

Technical Problem

Traditional drilling fluid recognition technology has limited accuracy in complex geological environments, low efficiency when processing large amounts of data, and high requirements for equipment and sensors, which increases cost and operational complexity, making it impossible to achieve real-time and accurate lithologies and fluids. Type recognition.

Method used

Voiceprint recognition theory, wireless transmission technology and big data combined with artificial intelligence algorithms are adopted to collect and preprocess rock sound data, extract voiceprint feature parameters, build a database and train an intelligent recognition model to achieve simultaneous recognition of lithologies and fluids.

Benefits of technology

It realizes real-time acquisition of formation lithologic and fluid information during drilling, improves identification accuracy and efficiency, reduces exploration costs, optimizes drilling strategies, and enhances the sustainability of oil and gas exploration.

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Abstract

The invention discloses a while-drilling intelligent lithology and fluid simultaneous recognition method and device and electronic equipment, and the method comprises the steps: collecting rock sample sound data of different lithology and fluids through experiment / field operation, carrying out the preprocessing and feature extraction, constructing a rock voiceprint feature database, and training an intelligent lithology and fluid simultaneous voiceprint recognition model. Based on the actually extracted rock voiceprint characteristic parameters and the trained intelligent lithology and fluid simultaneous voiceprint recognition model, lithology and fluid simultaneous recognition is carried out, and lithology and fluid recognition results are output at the same time. By fusing the voiceprint recognition theory, the wireless transmission technology, big data and the artificial intelligence algorithm, the formation fluid type and rock characteristics can be recognized in real time in the drilling process, and very critical information support can be provided for oil-gas exploration and development; the technical problem that the formation fluid type and the rock characteristics cannot be recognized in real time in the prior art is solved.
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Citation Information

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