Fracture-vug type carbonate reservoir acid fracturing communication diagnosis method and system, storage medium and equipment

By establishing a bottom-hole pressure calculation model and a neural network model, the acid fracturing process of fractured-vuggy carbonate reservoirs can be monitored and diagnosed in real time. This solves the problem of lack of real-time diagnosis in existing technologies, achieves efficient and accurate acid fracturing communication diagnosis, and improves construction efficiency and decision reliability.

CN122366221APending Publication Date: 2026-07-10PETROCHINA CO LTD
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Patent Information

Application Number
CN202510035707.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-09
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

In the existing technology, there is a lack of systematic real-time diagnostic methods during acid fracturing of fractured carbonate reservoirs, which leads to delayed communication and judgment, reliance on operator experience, difficulty in ensuring accuracy, and difficulty in achieving precise control.

Method used

By employing integrated monitoring technology and data analysis algorithms, a bottom hole pressure calculation model and a neural network model are established to monitor and diagnose the communication status during acid fracturing operations in real time. By collecting geomechanical, reservoir, and fracture-cavity parameters, the neural network model is used for real-time prediction and diagnosis.

Benefits of technology

It enables real-time diagnosis during acid fracturing operations, improving construction efficiency and the timeliness, accuracy, and reliability of decision-making. It overcomes the reliance on operator experience and provides accurate assessment of reservoir communication conditions.

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Abstract

The invention discloses a fracture-vug type carbonate reservoir acid fracturing communication diagnosis method and system, a storage medium and equipment, and belongs to the technical field of reservoir transformation. The method comprises the steps that a bottom hole pressure calculation model is established; the method comprises the following steps: collecting geomechanical parameters, storage parameters, acid fracturing construction communication characteristic parameters and fracture-cavity body parameters of an earlier-stage reconstructed well in a work area, and establishing and training a first neural network model to obtain a prediction model of the communicated fracture-cavity body parameters in the acid fracturing process; geomechanical parameters and storage parameters of the target well are collected, acid fracturing construction communication characteristic parameters of the target well are collected in real time, and a real-time data set is constructed; and substituting the real-time data set into the prediction model, and calculating the communicated fracture-cavity body parameters in the acid fracturing process. An integrated monitoring technology and a data analysis algorithm are adopted, the communication situation in the reservoir acid fracturing construction process can be monitored and diagnosed in real time, a basis is provided for decision making in the construction process, and the construction efficiency and the reservoir transformation effect are improved.
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