Resistivity Logging-Based Calculation Method and Related Devices for Skin Factor in Oil and Gas Wells

By establishing a skin factor calculation model based on resistivity logging and optimizing it using multiple linear regression and least squares method, the problems of low accuracy and complexity in predicting the skin factor of oil and gas wells were solved, and more accurate production capacity prediction was achieved.

CN116291380BActive Publication Date: 2025-12-02CHINA OILFIELD SERVICES LTD
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Patent Information

Application Number
CN202310355915.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-04-04
Publication Date
2025-12-02
Estimated Expiration
2043-04-04

AI Technical Summary

Technical Problem

Existing methods for predicting the skin factor of oil and gas wells have low accuracy and require complex process parameters, making them difficult to determine accurately and thus hindering production capacity prediction.

Method used

Based on resistivity logging data and well test skin factor data, a skin factor calculation model was established, and the skin factor of oil and gas wells was calculated through multiple linear regression and least squares optimization.

Benefits of technology

It provides more accurate oil and gas well productivity prediction, avoids the complex process of determining and calculating process parameters, and improves the simplicity and accuracy of skin factor prediction.

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Abstract

This invention discloses a method and related apparatus for calculating the skin factor of oil and gas wells based on resistivity logging. The method includes: acquiring resistivity logging data and well test skin factor data of the target formation in an oil and gas field; establishing a skin factor calculation model based on the resistivity logging data and well test skin factor data; and calculating the skin factor of the well to be logged in the oil and gas field based on the skin factor calculation model. This invention utilizes resistivity logging data and well test skin factor data of the target formation in an oil and gas field to establish a skin factor calculation model, and calculates the skin factor of the well to be logged in the oil and gas field based on this model. This provides more accurate production capacity prediction for the oil and gas field production and development field, and avoids the determination of various process parameters and the calculation process of complex skin factor models, effectively solving the problem of difficulty in determining the skin factor in actual production and development.
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