Fractured bed buried hill oil reservoir gas injection parameter intelligent optimization method and system

By combining dual-medium models and embedded models, and utilizing decision trees and random forest prediction models, the gas injection parameters of fractured bedrock buried hill reservoirs are optimized, solving the problems of low simulation accuracy and long optimization time in existing technologies, and achieving high-precision gas injection parameter optimization.

CN120776971BActive Publication Date: 2026-07-24PETROCHINA CO LTD
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Patent Information

Application Number
CN202410408670.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-04-07
Publication Date
2026-07-24
Estimated Expiration
2044-04-07

AI Technical Summary

Technical Problem

When using a single physical model to simulate gas injection parameters in buried hill reservoirs, the existing technology cannot fully reflect the characteristics of fractured bedrock buried hill reservoirs, resulting in reduced simulation accuracy. Furthermore, there is a lack of methods for fusion and optimization of dual-medium models and embedded models.

Method used

A high-precision gas injection parameter optimization method is constructed by combining a dual-medium model and an embedded model with decision tree and random forest prediction models. The prediction sets of the two models are fused through machine learning algorithms to optimize the gas injection parameters.

Benefits of technology

It improves the simulation accuracy and optimization efficiency of gas injection parameters, solves the problem of long optimization time for gas injection parameters in buried hill reservoirs, and achieves high-precision optimization for different injection timing and pressure levels.

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Abstract

The present application relates to a kind of fractured bedrock buried hill oil reservoir gas injection parameter intelligent optimization method and system, belong to oil and gas field development field.The method includes establishing buried hill oil reservoir double medium model and buried hill oil reservoir embedded model;Multiple double medium model sample set and multiple embedded model sample set are obtained;The prediction set of double medium model and the prediction set of embedded model are obtained;Final prediction model is obtained;According to the prediction of each set of steam injection parameter in gas injection parameter combination according to final prediction model, obtain the predicted oil production set;Based on the predicted oil production set, obtain the optimized oil reservoir gas injection parameter.In the construction process of high-precision prediction model, the present application fuses the prediction set of double medium model and embedded fracture model as the sample set of prediction model, so that the result of prediction model is more in line with reality, solves the long time consumption of buried hill oil reservoir using different models to optimize gas injection parameter.
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