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METHOD FOR ANALYZING CEMENT INTEGRITY IN CASING STRINGS USING MACHINE LEARNING

机译:基于机器学习的套管应力分析方法

摘要

The present disclosure provides methods and systems for analyzing cement integrity in a depth interval of a wellbore having a multiple string casing with an innermost annulus disposed inside at least one outer annulus. The method includes processing ultrasonic data obtained from ultrasonic measurements on the interval of the wellbore to determine properties of the innermost annulus. The method also includes processing sonic data obtained from sonic measurements on the interval of the wellbore to extract features of the sonic data. The features of the sonic data are input to a machine learning processing to determine properties of both the innermost annulus and the least one outer annulus. Additional processing of ultrasonic and sonic data can also be used to determine properties of both the innermost annulus and the least one outer annulus. These properties can be used to analyze cement integrity in the depth interval of the wellbore.
机译:本公开内容提供了用于在具有多柱套管的井眼的深度间隔中分析水泥完整性的方法和系统,该套管具有布置在至少一个外环隙内的最内环隙。该方法包括处理从在井眼的间隔上的超声测量结果获得的超声数据,以确定最内环带的性质。该方法还包括在井眼的间隔上处理从声波测量获得的声波数据,以提取声波数据的特征。声音数据的特征被输入到机器学习处理中,以确定最里面的环和至少一个外面的环的特性。超声和声波数据的附加处理也可以用于确定最里面的环和至少一个外面的环的性质。这些特性可用于分析井眼深度区间中的水泥完整性。

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