An Prediction Method for Determining the Maximum von Mises Stress in Casing Based on SVM

DI Qinfeng; WU Zhihao; WANG Wenchang; QIN Guangxu; CHEN Feng

doi:10.11911/syztjs.2019065

Volume 47 Issue 3

Jun. 2019

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Petroleum Drilling Techniques > 2019 > 47(3): 62-67. > DOI: 10.11911/syztjs.2019065

DI Qinfeng, WU Zhihao, WANG Wenchang, QIN Guangxu, CHEN Feng. An Prediction Method for Determining the Maximum von Mises Stress in Casing Based on SVM[J]. Petroleum Drilling Techniques, 2019, 47(3): 62-67. DOI: 10.11911/syztjs.2019065

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An Prediction Method for Determining the Maximum von Mises Stress in Casing Based on SVM

Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai, 200072, China

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Received Date: February 27, 2019
Available Online: April 29, 2019

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Abstract

In order to predict the maximum stress of uncentered casing under non-uniform in-situ stress and improve the safety of casing, a prediction method of casing’s maximum von Mises stress based on artificial intelligence SVM is studied. First, the key factors affecting the maximum stress of casing are determined, including non-uniform geologic stress, elastic modulus and Poisson's ratio of cement sheath, eccentricity of casing, etc. Then the "experimental" samples of casing stress are constructed by using ANSYS software. Finally the $\varepsilon {\rm{ - SVR}}$ model is established to realize the prediction of casing’s maximum stress. Through self-learning, the SVM regression method based on RBF kernel achieves good accuracy for training samples. For the five test samples, the average relative error is only 1.32%, which means that this method can meet the needs of engineering application. In particular, this method can be used to quickly solve the maximum stress of uncentered casing under non-uniform in-situ stress.The research results provide theoretical basis for site safety construction.
- support vector machine,
- non-uniform in-situ stress,
- eccentricityofcasing,
- von Mises stress

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An Prediction Method for Determining the Maximum von Mises Stress in Casing Based on SVM

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