A low-abundance remaining oil potential calculation method

CN122114409APending Publication Date: 2026-05-29PETROCHINA CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
PETROCHINA CO LTD
Filing Date
2024-11-28
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing technologies cannot accurately quantify the potential of low-abundance remaining oil, resulting in coarse identification of the distribution of remaining oil in reservoirs during the high water-cut stage of oilfields, which affects the improvement of recovery rate.

Method used

By combining static geological data and dynamic development data, the main control factors and characterization parameters are determined through fuzzy comprehensive evaluation method, the remaining oil potential level is quantitatively characterized, and the comprehensive membership degree is obtained by using fuzzy comprehensive evaluation method to classify the remaining oil potential.

Benefits of technology

It improves the characterization accuracy of low-abundance remaining oil potential in reservoirs at high water cut stages, more accurately predicts reservoir changes and production dynamics, and enhances the characterization effect of remaining oil distribution and potential tapping.

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Abstract

The present application belongs to the technical field of oil and gas field development, and particularly relates to a low-abundance remaining oil potential calculation method, aiming to solve the problem that the prior art cannot accurately quantify the low-abundance remaining oil potential and continuously improve the oil reservoir recovery factor. The method comprises the following steps: obtaining basic data of an oilfield to be calculated for low-abundance remaining oil potential; fitting according to the basic data to determine the main control factors affecting the distribution of remaining oil and the corresponding representation parameters of each main control factor; based on the corresponding representation parameters of each main control factor, combining a preset remaining oil potential grade, quantitatively representing the remaining oil potential by a fuzzy comprehensive evaluation method to obtain the comprehensive membership degree of the main control factors and the remaining oil potential grade; and obtaining the remaining oil potential grade of the oilfield to be calculated for low-abundance remaining oil potential according to the comprehensive membership degree of the main control factors and the remaining oil potential grade. The present application effectively improves the representation accuracy of the low-abundance remaining oil potential of the reservoir at the high water cut stage.
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