Array electric imaging logging based reservoir oil-water identification method and system

Through array electrical imaging logging technology, a five-parameter formation model was established, which solved the problem of electrical logging technology being difficult to identify the resistivity distribution of fresh water slurry intruding oil layers, and achieved more accurate identification and evaluation of reservoir oil and water.

CN102678102AInactive Publication Date: 2012-09-19CHINA UNIV OF PETROLEUM (EAST CHINA)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA UNIV OF PETROLEUM (EAST CHINA)
Filing Date
2012-03-31
Publication Date
2012-09-19
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing electrical logging technology is difficult to accurately identify the resistivity distribution characteristics and patterns of fresh water slurry invading oil layers, resulting in uncertainty in the identification of oil and water in the reservoir. Conventional plate correction, three-parameter inversion and four-parameter inversion methods require manual work. Problems with large quantities, strong interpretation experience, simple models or problems that do not meet the requirements of nonlinear distribution.

Method used

The reservoir oil and water identification system and method based on array electrical imaging logging are used to establish a three-stage formation resistivity distribution model through the formation selection module, resistivity distribution module, multi-layer array induction logging response module, judgment module and correction module. , using a five-parameter formation model to reconstruct the mud invasion profile to achieve oil and water identification.

Benefits of technology

This method can accurately reflect the resistivity distribution characteristics of mud-intruded oil and water layers, reduce the uncertainty of inversion results, improve the qualitative and quantitative identification capabilities of reservoir fluid properties, and is suitable for oil and gas identification and evaluation of complex reservoirs.

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Abstract

The invention relates to an array electric imaging logging based reservoir oil-water identification method and system. Aiming at the resistivity distribution characteristics of mud-invaded formations, a 'five-parameter formation model' is established, which is adapted to the requirement for simulating the resistivity distribution characteristics of different mud types and different invaded formations, and is pioneering in the aspects of forward-inversion models and processing methods of array electric imaging logging; and based on a 'five-parameter inversion' method for array electric imaging logging, an operation of carrying out resistivity distribution profile reconstruction on mud-invaded formations is performed, which reflects the actual differences between different resistivity distribution characteristics or change rules of mud-invaded oil formations or water formations. The method has stronger practicability, and is pioneering in the actual application aspects of qualitative identification and quantitative calculation on reservoir fluid properties.
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