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为了利用测井信息识别潘庄地区的沉积特征,通过对潘庄区块钻井取芯和测井等资料的分析,建立了潘庄区块的山西组沉积微相模式。在此基础上,提取出已知沉积微相的自然伽马测井曲线的特征参数,运用MATLAB中的BP神经网络模型,把所提取的特征参数作为训练样本,运用所得网络模型对其他井的沉积微相进行解释。
In order to identify the depositional characteristics of Panzhuang area by using well logging information, the sedimentary microfacies pattern of Shanxi Formation in Panzhuang Block was established by analyzing coring and logging data of drilling in Panzhuang block. Based on this, the characteristic parameters of natural gamma ray logging curves of known sedimentary microfacies are extracted. Using the BP neural network model in MATLAB, the extracted characteristic parameters are used as training samples, and the obtained network model is used to analyze the characteristics of other well Sedimentary microfacies are explained.