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Method for automatically extracting image features of electrical imaging well logging, computer equipment and non-transitory computer readable medium

机译:自动提取电气成像井测井图像特征的方法,计算机设备和非暂时性计算机可读介质

摘要

A method and an apparatus for automatically extracting image features of electrical imaging well logging, wherein the method comprises the steps of: 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 and marking a typical geological feature in the electrical imaging well logging image covering the full hole, obtaining a processed image, and determining the processed image as a training sample according to types of the geological features; 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; using the trained deep learning model, recognizing type of a geological feature of an electrical imaging well logging image of a well section to be recognized, and performing morphological optimization processing on the recognition result to obtain a feature optimization recognition result. The solution can automatically, quickly and accurately recognize the typical geological features in the electrical imaging well logging image.
机译:一种用于自动提取电成像井测井的图像特征的方法和装置,其中该方法包括以下步骤: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;识别和标记覆盖整孔的电成像井测井图像中的典型地质特征,获得处理的图像,并根据地质特征的类型确定处理的图像作为训练样本;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层学习模型;使用训练有素的深度学习模型,识别用于识别井部分的电成像井测井图像的类型的类型,并对识别结果进行形态优化处理,以获得特征优化识别结果。该解决方案可以自动,快速准确地识别电成像井测井图像中的典型地质特征。

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