Shale stability coupling with mechanics and chemistry is a focus of attention in the field of borehole wall stability study.
泥页岩井壁失稳的化学与力学耦合作用是井壁稳定性研究中较为关注的问题。
Meanwhile, the predicting method of stress is proposed based on BP's neural network by using the seismic interval velocity, in order to predict borehole wall stability.
同时给出了利用地震层速度预测地应力的BP神经网络模型，以在钻前预测井壁稳定性。
Meanwhile, the predicting method of stress is proposed based on BP's neural network by using the seismic interval velocity, in order to predict borehole wall stability.
同时给出了利用地震层速度预测地应力的BP神经网络模型，以在钻前预测井壁稳定性。
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