Method and device for calculating shale content of electro-imaging logging image based on mathematical modeling

By establishing a mathematical relationship between clay content and electrical conductivity in electrical imaging logging images, and utilizing grayscale processing and function fitting methods, the problem of quantitative calculation of clay content in electrical imaging logging was solved, simplifying the model and improving computational efficiency.

CN122449631APending Publication Date: 2026-07-24CHINA OILFIELD SERVICES LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA OILFIELD SERVICES LTD
Filing Date
2026-06-29
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing technologies make it difficult to quantitatively calculate the mud content in electrical imaging logging. Traditional methods require comprehensive consideration of various uncertain parameters, resulting in complex models and large computational loads.

Method used

By establishing a mathematical relationship between clay content and electrical conductivity, grayscale processing of electrical imaging logging images is performed to construct a mathematical model between pixels and electrical conductivity. The clay content is calculated by combining grayscale pixel values, and the model is simplified by using a function fitting method.

Benefits of technology

It enables quantitative calculation of mud content based on electrical imaging logging data, reduces computational complexity, and is suitable for rapid on-site processing and practical applications.

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Abstract

The application discloses a method and device for calculating shale content of electro-imaging logging image based on mathematical modeling, and relates to the field of well logging geology. In the same sedimentary environment, the application selects reasonable function simulation to fit the mathematical relationship between the shale content and the conductivity by using the response characteristics of the conductivity to the shale content. Meanwhile, the mathematical relationship between the pixel and the conductivity is fitted by using the calibration relationship between the resistivity and the pixel, the simultaneous relationship is derived, the mathematical model between the pixel and the shale content is derived, and then the mathematical model is used to calculate the shale content of the target layer. The application establishes the mathematical relationship between the pixel value and the shale content, realizes the quantitative calculation of the shale content based on the electro-imaging data for the first time, and expands the geological application depth of the electro-imaging logging. By introducing the conductivity as an intermediate variable, the conversion path of the pixel-conductivity-shale content is established, and a new way for calculating the shale content based on the electro-imaging image itself is provided.
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