| Neural Network Applications in Petroleum Exploration Based on Statistical Space Mapping |
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| 作者姓名： | XU Zheng-guang HAO Qing-mei WANG Shu-sheng WANG Zhi-liang |
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| 作者单位： | School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, China |
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| 摘 要： | 1 IntroductionThe seismic prospecting method has beenwidely used in petroleum exploration field. And dueto the complexity of the stratum structure, how to usethe mass seismic data to get the precise forecastresult is actracting more and more attention. However,lithology differentiation criterion could not be set upthrough seismic data only because of the lack oflithology information in seismic data. In the past,petroleum exploration experts demarcated thelithology of the seismic data through t…
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| 关 键 词： | 石油开发 空间图 灰色系统理论 地震数据 地震勘探 |
| 收稿时间： | 2005-03-04 |
| 修稿时间： | 2005-04-20 |
Neural Network Applications in Petroleum Exploration Based on Statistical Space Mapping |
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| XU Zheng-guang HAO Qing-mei WANG Shu-sheng WANG Zhi-liang.Neural Network Applications in Petroleum Exploration Based on Statistical Space Mapping[J].Journal of China University of Mining and Technology,2005,15(3):247-250. |
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| Authors: | XU Zheng-guang HAO Qing-mei WANG Shu-sheng WANG Zhi-liang |
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| Abstract: | In this paper, we propose the statistical space mapping thought and classify the seismic body space through lithology space clustering combining to the actual application background of petroleum exploration. A new method of stratum petroleum recognition based on neural network was set up through the foundation of the data mapping relation between log and seismic body. It can break a new path for recognition petroleum using both log and seismic data. And this method has been validated in the practical data analysis in Liaohe oil field. |
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| Keywords: | petroleum exploration space mapping gray system theory lithology differentiation criterion seismic data log data |
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