| BP神经网络在计算储层参数中的应用 |
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| 引用本文： | 李飞,张萍,王赛英.BP神经网络在计算储层参数中的应用[J].中国西部科技,2013(1):38-40. |
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| 作者姓名： | 李飞 张萍 王赛英 |
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| 作者单位： | 中国石化胜利油田分公司河口采油厂采油二矿二队;中国石化胜利油田分公司河口采油厂采油四矿四队;东营市河口区油区工作办公室 |
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| 摘 要： | 人工神经网络近年来在石油行业中广泛使用，以稳定性和计算能力强为特点的BP神经网络更是广为应用。孔隙度和渗透率是储层物性的重要参数，在储层评价中占据重要地位。寻找一种广泛而有效的方法计算孔隙度和渗透率是石油工作者的一项艰巨任务，本文选用了BP神经网络分别建立计算孔隙度和渗透率的模型，并通过与岩芯分析数据作对比，取得了良好的效果，有进一步推广的潜力。
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| 关 键 词： | 储层参数 神经网络 BP 测井解释 |
The Application of BP Neural Network in the Calculation of the Porosity and Permeability |
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| LI Fei,ZHANG Ping,WANG Sai-ying.The Application of BP Neural Network in the Calculation of the Porosity and Permeability[J].Science and Technology of West China,2013(1):38-40. |
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| Authors: | LI Fei ZHANG Ping WANG Sai-ying |
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| Institution: | 1.Oil extraction factory of Shengli Oil field,Dongying,Shandong 257200,China;2.Oil extraction factory of Shengli Oil field,Dongying,Shandong 257200,China;3.He kou county of Dong ying city oil region work office,Dongying,Shandong 257200,China) |
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| Abstract: | Artificial neural network has been widely used in oil industry in recent years.Porosity and permeability are important parameters in reservoir evaluation.Looking for a broad and effective method to calculate the porosity and permeability is an arduous task of oil workers.ha this paper,BP-ANN was used to establish the model which can be used to calculate porosity and permeability.lt has been proved that the BP-ANN is effective and should be further promoted. |
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| Keywords: | Reservoir parameters Neural network BP Logging interpretation |
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