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LEARNING BASED BAYESIAN OPTIMIZATION FOR OPTIMIZING CONTROLLABLE DRILLING PARAMETERS
LEARNING BASED BAYESIAN OPTIMIZATION FOR OPTIMIZING CONTROLLABLE DRILLING PARAMETERS
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机译:基于学习的贝叶斯优化算法优化可控钻井参数
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摘要
A method for optimizing real time drilling with learning uses a multi-layer Deep Neural Network (DNN) built from input drilling data. A plurality of drilling parameter features is extracted using the DNN. A linear regression model is built based on the extracted plurality of drilling parameter features. The linear regression model is applied to predict one or more drilling parameters.
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