| 川东石炭系储层人工神经网络法预测试验 |
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| 引用本文： | 江玉乐,钟本善.川东石炭系储层人工神经网络法预测试验[J].煤田地质与勘探,1995,23(5):44-47. |
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| 作者姓名： | 江玉乐 钟本善 |
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| 作者单位： | 成都理工学院 |
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| 摘 要： | 针对川东地区高陡构造下石炭系储层埋藏深、地震反射波信噪比低等特点，提出了一套利用地震资料经人工神经风格训练进行气藏预测的方法，特别是在网络训练前利用模型法对高陡构造和预测点先行归位计算，经实验检验，取得了好的效果。
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| 关 键 词： | 气藏 储层 石炭纪 神经网络 |
CARBONIFEROUS RESERVOIR PREDICTION TEST USING ARTIFICIAL NEURAL NETWORK METHOD IN REGION OF EASTERN SICHUAN PROVINCE |
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| Jiang Yule,Zhong Benshan,Li Yongjie.CARBONIFEROUS RESERVOIR PREDICTION TEST USING ARTIFICIAL NEURAL NETWORK METHOD IN REGION OF EASTERN SICHUAN PROVINCE[J].Coal Geology & Exploration,1995,23(5):44-47. |
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| Authors: | Jiang Yule Zhong Benshan Li Yongjie |
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| Institution: | Chengdu institute of Technology |
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| Abstract: | n artificial neural network natural gas prediction method is put forward using seismic datawith respect to the characteristics of deeper burial reservoir,and lower signal/noise ratio in steep structureregion of Eastern Sichuan Province.Specially the modeling migration technique is adopted for the structureand prediction point position.Good results are obtained using these methods to process two seismic profiles. |
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| Keywords: | rtificial neural neural networks reservoirs prognosis |
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