| 神经网络在CB油田储层预测和储层厚度计算中的应用 |
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| 引用本文： | 印兴耀,杨风丽,吴国忱. 神经网络在CB油田储层预测和储层厚度计算中的应用[J]. 中国石油大学学报(自然科学版), 1998, 0(2) |
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| 作者姓名： | 印兴耀 杨风丽 吴国忱 |
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| 作者单位： | 石油大学石油资源科学系 |
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| 摘 要： | 根据ＣＢ油田的特点提出了利用神经网络进行储层预测和计算地层厚度的方法。将传统的储层预测方法与人工神经网络相结合,能较好地解决ＣＢ油田的储层预测问题。利用神经网络的非线性映射特点实现了地震特征与地层厚度之间的映射,从而可以准确地求取地层厚度。用该方法设计了２口探井,实际钻井结果表明,这种方法的预测结果准确、可靠。
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| 关 键 词： | 神经网络 储集层 预测 地层厚度 计算 |
APPLICATION OF NEURAL NETWORK TO PREDICTING RESERVOIR AND CALCULATING THICKNESS IN CB OILFIELD |
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| Yin Xingyao,Yang Fengli and Wu Guochen/ Yin Xingyao,male,was born in . He is an associate professor. He graduated from the East China Petroleum Institute in ,and gained MS degree from Lanzhou University in . In he became a Ph.D. APPLICATION OF NEURAL NETWORK TO PREDICTING RESERVOIR AND CALCULATING THICKNESS IN CB OILFIELD[J]. Journal of China University of Petroleum (Edition of Natural Sciences), 1998, 0(2) |
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| Authors: | Yin Xingyao Yang Fengli Wu Guochen/ Yin Xingyao male was born in . He is an associate professor. He graduated from the East China Petroleum Institute in and gained MS degree from Lanzhou University in . In he became a Ph.D |
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| Affiliation: | Yin Xingyao,Yang Fengli and Wu Guochen/ Yin Xingyao,male,was born in 1962. He is an associate professor. He graduated from the East China Petroleum Institute in 1982,and gained MS degree from Lanzhou University in 1989. In 1995 he became a Ph.D |
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| Abstract: | This paper discusses the methods for predicting oil and gas reservoir and calculating thickness of reservoir from seismic data by using neural network. Combination of neural network with traditional seismic predicting methods can resolve the problem of reservoir prediction of CB oilfield. Neural network can be used to realize any continuous function or mapping. Using neural network to calculate the thickness of reservoir is to set up the relationship of seismic attributes and thickness. According to the prediction result, two evaluated wells have been drilled. The results from the drilled evaluation wells have kept consistence with its prediction. |
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| Keywords: | nerve network reservoir prediction thickness calculation |
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