A method for predicting a storage space inside a fracture-vug body and related equipment

By combining post-stack impedance inversion and pre-stack physical property parameter inversion, the problem of accurately predicting the internal structure and filling characteristics of Ordovician carbonate fracture-vuggy reservoirs has been solved, improving the prediction accuracy of reservoir space and supporting the efficient development of oil fields.

CN122307687APending Publication Date: 2026-06-30CHINA PETROLEUM & CHEMICAL CORP +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA PETROLEUM & CHEMICAL CORP
Filing Date
2024-12-27
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing technologies make it difficult to accurately identify and quantify the internal structure and filling characteristics of Ordovician carbonate fracture-vuggy reservoirs, leading to difficulties in predicting reservoir performance and affecting high and stable oil production.

Method used

By combining post-stack impedance inversion and pre-stack physical parameter inversion, the external contour and internal characteristics of fracture-cavities are predicted using post-stack seismic data, generating prediction results for the storage space of fracture-cavities.

Benefits of technology

It improves the prediction accuracy of reservoir space inside fractured-cavitary bodies, provides strong technical support for effective reservoirs, and guides well site deployment and mining design.

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Abstract

This application discloses a method, apparatus, server, computer-readable storage medium, and computer program product for predicting the internal reservoir space of fractured-vuggy reservoirs. The method predicts the development location and spatial scale of fractured-vuggy reservoirs based on post-stack impedance inversion, characterizing the external contours of the fractured-vuggy reservoirs. Simultaneously, it clarifies the internal filling characteristics of the fractured-vuggy reservoirs through pre-stack physical property parameter inversion, precisely characterizing the heterogeneous changes within the fractured-vuggy reservoirs. By combining pre-stack and post-stack methods to comprehensively characterize the development scale and internal reservoir space of fractured-vuggy reservoirs, the method improves the prediction accuracy of the development scale and effective reservoir space of fractured-vuggy reservoirs, providing strong technical support for the prediction of effective reservoirs in fractured-vuggy reservoirs.
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