Metamorphic rock buried hill fracture type reservoir permeability calculation method and related device

By selecting the optimal logging curve index and constructing cross plots, screening well sections with consistent control conditions, establishing a learning sample library, and using machine learning algorithms to calculate the permeability of metamorphic rock buried hill fractured reservoirs, the problem of low accuracy in existing technologies has been solved, and higher accuracy permeability calculation has been achieved.

CN116263855BActive Publication Date: 2026-07-07CHINA NAT PETROLEUM CORP +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA NAT PETROLEUM CORP
Filing Date
2021-12-15
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Existing technical solutions cannot accurately calculate the permeability of metamorphic rock buried hill fracture reservoirs, and the existing methods have low calculation accuracy, making it difficult to reflect the true situation of fracture permeability.

Method used

By selecting the optimal logging curve index, combining well test interpretation and production index or formation coefficient, a fracture effectiveness indicator cross-plot is constructed, well test sections with consistent control conditions are screened out, a learning sample library is established, and machine learning algorithms are used to calculate permeability.

Benefits of technology

It enables the calculation of continuous curves of permeability in metamorphic rock buried hill fractured reservoirs, improves the calculation accuracy of well logging data, and can more accurately reflect the seepage characteristics of fracture development.

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Abstract

The embodiment of the application discloses a metamorphic rock buried hill fracture type reservoir effective permeability calculation method and related equipment. The method comprises the following steps: selecting an effective index curve capable of optimally representing fracture effectiveness from a plurality of effectiveness candidate well curves; obtaining an effective permeability continuous curve according to the effective index curve and a single-value effective permeability calculated by well test interpretation; obtaining a fracture effectiveness indication crossplot according to the effective index curve and a production index, or according to the effective index curve and a formation coefficient; screening out a modeling effective oil test well section with consistent control conditions according to the fracture effectiveness indication crossplot; and calculating reservoir effective permeability of a to-be-predicted target well section by using a machine learning algorithm according to a learning sample library that is summarized. The application solves the problems of obtaining a metamorphic rock buried hill fracture type reservoir effective permeability continuous curve by using multi-well oil test data and improving the calculation accuracy of well logging data effective permeability.
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