Shale gas production prediction methods, systems, storage media and terminals

By acquiring static and dynamic parameters of downhole reservoirs, selecting appropriate prediction models, and validating them, the problem of inaccurate shale oil reservoir production prediction has been solved, achieving more accurate and adaptable shale gas production prediction.

CN116025310BActive Publication Date: 2026-06-30SHANGHAI TARTAN ENERGY TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANGHAI TARTAN ENERGY TECH CO LTD
Filing Date
2023-01-03
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

The production characteristics of fractured horizontal wells in shale oil reservoirs vary greatly in existing technologies, leading to inaccurate production capacity predictions and affecting the development and deployment of shale oil reservoirs.

Method used

By acquiring the static and dynamic parameters of the downhole reservoir, we can determine its type and trend information, select an appropriate prediction model (such as the modified hyperbolic decline model, the combined decline model, and the normalized prediction model), and use historical data to validate the model to improve prediction accuracy.

Benefits of technology

It improves the accuracy of shale gas production prediction, adapts to downhole reservoir prediction under different conditions, and enhances the adaptability of prediction results.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention provides a shale gas production prediction method, system, storage medium, and terminal. The shale gas production prediction method includes acquiring static and dynamic parameters of the downhole reservoir; determining the reservoir type information based on the static parameters; calculating the reservoir's variation trend information based on the static and dynamic parameters; selecting a target prediction model for the downhole reservoir from a model group based on the type and trend information; acquiring historical data of the downhole reservoir; validating the target prediction model based on the historical data; and, after confirming that the target prediction model meets the validation conditions, predicting the reservoir's production based on the trend information using the target prediction model to obtain the prediction result. This invention can predict the production of downhole reservoirs under different conditions and improves the accuracy of the prediction results, making it applicable to various prediction scenarios.
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