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Method and apparatus for automatically recognizing electrical imaging well logging facies

机译:用于自动识别电成像井测井相的方法和装置

摘要

A method and an apparatus for automatically recognizing an electrical imaging well logging facies, wherein the method comprises: acquiring historical data of electrical imaging well logging; pre-processing the historical data of the electrical imaging well logging to generate an electrical imaging well logging image covering a full hole; recognizing a typical imaging well logging facies in the electrical imaging well logging image covering the full hole, and determining the electrical imaging well logging image covering the full hole as a training sample in accordance with a category of the imaging well logging facies; constructing a deep learning model including an input layer, a plurality of hidden layers, and an output layer; training the deep learning model using the training sample to obtain a trained deep learning model; and recognizing the well logging facies of the electrical imaging well logging image of the well section to be recognized using the trained deep learning model.
机译:一种用于自动识别电成像阱测井相的方法和装置,其中该方法包括:获取电成像井测井的历史数据;预处理电成像井测井的历史数据,以产生覆盖全孔的电成像井测井图像;识别在覆盖全孔的电成像井测井图像中的典型成像阱测井面,并根据成像井测井相的类别确定覆盖整孔作为训练样本的电成像井测井图像;构建包括输入层,多个隐藏层和输出层的深度学习模型;使用培训样本培训深入学习模型,以获得训练有素的深度学习模型;并识别电成像井测井图像的井测井相的井部分以使用训练的深层学习模型来识别。

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