| 人工神经网络在砂砾岩油藏采收率预测中的应用 |
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| 引用本文： | 王涛,刘文锐,郭海波,朱黎明.人工神经网络在砂砾岩油藏采收率预测中的应用[J].吐哈油气,2011(4). |
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| 作者姓名： | 王涛 刘文锐 郭海波 朱黎明 |
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| 作者单位： | 中国海油油田服务股份有限公司;中国石油吐哈油田公司勘探开发研究院;中国石化胜利油田公司东辛采油厂;中国石化中原油田公司; |
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| 摘 要： | 目前砂砾岩油藏采收率标定存在很大难度,常规方法预测采收率与实际相比偏差很大。通过调研砂砾岩油藏开发实例及相关资料,选取我国东部某典型砂砾岩油藏,确定了砂砾岩油藏采收率的主要影响因素,并编写BP神经网络程序计算砂砾岩油藏水驱采收率,计算结果精度较高。因此,认为应用BP神经网络方法预测砂砾岩油藏水驱采收率是可行的、有效的。
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| 关 键 词： | 人工神经网络 砂砾岩油藏 采收率预测 |
Application of Artificial Neural Network in Recovery Predication of Glutenite Reservoir |
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| Authors: | Wang Tao Liu Wenrui Guo Haibo Zhu Liming |
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| Affiliation: | Wang Tao1,Liu Wenrui2,Guo Haibo2,Zhu Liming2(1.China Oilfield Services Limited Company,Beijing 101149,2.Research Institute of Exploration and Development,Tuha Oilfield Company,PetroChina,Hami 839009,Xinjiang,3.Dongxin Oil Production Plant,Shengli Oilfield Company,Sinopec,Dongying 257094,Shandong,4.Zhongyuan Oilfield Company,Puyang 457001,Heinan) |
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| Abstract: | It is very difficult to demarcate the recovery in glutenite reservoir at present.To predicate the recovery by con-ventional method produces a great deviation with the actual result.Based on the development case study and the relevant data of glutenite reservoir,a typical glutenite reservoir in east China is selected,the main influential factors of glutenite reservoir recovery are determined,and the BP artificial neural network program for calculating waterflood recovery of glutenite reservoir is compiled an... |
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| Keywords: | artificial neural network glutenite reservoir recovery prediction |
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