Method and system for predicting TOC of source rock in sparse well area, electronic device and medium

By establishing virtual wells in sparse well areas and combining seismic attributes and geological conditions, a three-dimensional TOC attribute volume was constructed, which solved the accuracy problem of TOC prediction in sparse well areas and achieved high-precision prediction of hydrocarbon source rock distribution.

CN115629414BActive Publication Date: 2026-03-03CHINA UNIV OF PETROLEUM (EAST CHINA)
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Patent Information

Application Number
CN202211286246.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-10-20
Publication Date
2026-03-03
Estimated Expiration
2042-10-20

AI Technical Summary

Technical Problem

In sparsely drilled offshore areas, due to the small drilling coverage area and limited core sampling, traditional methods are unable to accurately predict the total organic carbon (TOC) content, resulting in large discrepancies between the predicted source rock distribution and the actual situation, which fails to meet exploration needs.

Method used

By establishing virtual wells in wellless areas, using seismic attribute extraction methods and sandstone-mudstone lithology prediction models, combined with single-well vertical continuous TOC prediction models and geological condition constraints, a three-dimensional TOC attribute body is constructed, and predictions are made by combining virtual well and measured well data.

Benefits of technology

It has achieved high-precision quantitative evaluation of the total hydrocarbon source rock (TOC) in sparse well areas, improved the scientificity and reliability of the prediction results, and can more intuitively show the location of the dominant hydrocarbon source rock vent.

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Abstract

The application discloses a sparse well area hydrocarbon source rock TOC prediction method and system, an electronic device and a medium, relates to the technical field of hydrocarbon source rock carbon content prediction, and comprises the following steps: establishing a virtual well in a well-free area; determining the seismic attribute of the virtual well based on a seismic attribute extraction method; determining the lithology of the virtual well based on the seismic attribute of the virtual well and a sandstone and mudstone lithology prediction model, and extracting the mudstone section of the virtual well; determining the longitudinal continuous TOC prediction value of the hydrocarbon source rock in the mudstone section of the virtual well based on a single-well longitudinal continuous TOC prediction model; and combining the longitudinal continuous TOC prediction value and the measured TOC value of the hydrocarbon source rock in the mudstone section of the virtual well to construct a three-dimensional TOC attribute body of the target sparse well area based on a preset geological condition constraint, so as to predict the TOC of the hydrocarbon source rock in the target sparse well area. The application realizes higher-precision quantitative evaluation and prediction of the TOC of the hydrocarbon source rock in the sparse well area.
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