Magnetic control fidelity coring method and system based on multi-field coupling intelligent optimization

CN122942694APending Publication Date: 2026-10-20SICHUAN UNIV
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Patent Information

Application Number
CN202611153396.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-07-31
Publication Date
2026-10-20

AI Technical Summary

Technical Problem

[0005]因此,本发明提供了一种基于多场耦合智能优化的磁控保真取心方法解决现有深部岩石保真保压取心技术存在原位状态感知滞后、多物理场协同控制缺失以及机械式密封卸压失真等问题

Benefits of technology

[0044]本发明有益效果为:依托大模型与数字孪生剔除钻进强扰动噪声,还原真实原位参数,并生成全局拓扑约束,有效规避多向变轨时的工程风险。突破传统单变量开环控制,结合多场机理模型与算法寻优求解最优控制矩阵,实现钻进、保压、温控及成膜的多维动态保真协同。利用瞬态磁控自密封与外部对接压力流体动态补偿,彻底消除传统机械磨损与容积突变引起的瞬态卸压,实现深部岩心全生命周期原位状态的绝对无损带回。

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Abstract

This invention discloses a magnetically controlled high-fidelity coring method and system based on multi-field coupling intelligent optimization, belonging to the field of intelligent sampling control technology. The method includes: acquiring multi-source heterogeneous drilling data of the target well section, extracting features, and outputting an in-situ environmental parameter matrix of the deep rock mass; based on the in-situ environmental parameter matrix, inputting the multi-directional high-fidelity coring requirements into a deep geological digital twin model to generate global topological constraints and construct a high-fidelity objective function; constructing a basic control parameter matrix, inputting it into a multi-field coupling mechanism model, calculating the multi-field predicted state space, and using minimizing the multi-field predicted state space and the high-fidelity objective function as the optimization objective; calculating the optimal control parameter matrix within the current control cycle within the global topological constraints; performing signal decoupling and physical mapping to drive dynamic high-fidelity adjustment of each unit, achieving lossless transfer of the in-situ state of the core. The method of this invention combines a multi-field mechanism model and algorithm optimization to achieve multi-dimensional dynamic high-fidelity synergy.
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