冻结井内层可缩性井壁监测系统和监测预警方法

By constructing a wellbore monitoring system with a feature parameter matrix and dynamic gain logic, the physical lag and false alarm problems of wellbore monitoring in traditional methods are solved, and accurate assessment and reliable early warning of wellbore status are achieved.

CN122192444BActive Publication Date: 2026-07-17ANHUI UNIV OF SCI & TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ANHUI UNIV OF SCI & TECH
Filing Date
2026-05-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing methods for monitoring the wellbore wall in frozen wells cannot accurately capture the nonlinear distortion of early micro-strain in the wellbore. Traditional methods lack vector synthesis and dynamic gain logic for multivariable physical characteristics, resulting in physical lag and frequent false alarms in the assessment results, making it difficult to accurately quantify the instability boundary of the wellbore in deep formations.

Method used

A feature parameter matrix is ​​constructed, and the coupled gradients of wellbore displacement, temperature gradient and interwall pressure are extracted through vector synthesis and dynamic gain logic. Dynamic alarm feature thresholds are generated by combining nonlinear mapping functions and feedback adjustment factors to achieve real-time assessment and early warning of wellbore status.

Benefits of technology

It improves the sensitivity and foresight of wellbore instability monitoring, avoids frequent false alarms, achieves reliable early warning under complex alternating loads, and can identify wellbore entering dangerous critical zones in advance.

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Abstract

本发明提供一种冻结井内层可缩性井壁监测系统和监测预警方法,涉及井壁安全监测技术领域,本发明通过采集井壁位移、温度梯度及壁间压力,并经偏差消除及量程比例缩放映射出对应的特征量;提取位移与温度特征量的演化突变特征,经矢量合成与动态增益确定耦合梯度;将其映射为预警激励强度,结合位移相对预设极限特征量的收敛度确定调节阻尼,交互解析得时滞敏感度系数;基于压力特征量构建受力饱和项生成反馈调节因子,结合敏感度系数下沉修正静态基准,生成动态报警特征阈值;最后将位移与动态阈值的偏离程度映射至安全冗余空间解算危险指数并判定危险等级从而实现冻结井壁在时变扰动下的非线性失稳边界量化界定与前置预警。
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