| 宝浪油田油气层评价标准及应用 |
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| 引用本文： | 李薇,胡志方,李显路,汪佳荣,王永忱. 宝浪油田油气层评价标准及应用[J]. 石油天然气学报, 2006, 28(1): 32-33 |
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| 作者姓名： | 李薇 胡志方 李显路 汪佳荣 王永忱 |
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| 作者单位： | 河南油田分公司石油勘探开发研究院,河南,南阳,473132;中国地质大学(北京)能源学院,北京,100083;河南石油勘探局,河南,南阳,473132 |
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| 摘 要： | 宝浪油田油气层物性较差,属于低孔、低渗、低显示油气层,油气层评价有一定难度,仅用单一的识别模式会遗失部分油气层,应用油藏物理学、渗流理论、神经网络等理论,根据试油资料,测井、录井信息,建立交会图法、模式识别和人工神经网络等宝浪油田油气层评价标准,并在实际解释中得以应用,取得了较好的效果。
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| 关 键 词： | 宝浪油田 油气层 评价标准 模式识别 |
| 文章编号： | 1000-9752（2006）01-0032-02 |
| 收稿时间： | 2005-09-24 |
| 修稿时间： | 2005-09-24 |
Standard and Application of Reservoir Evaluation in Baolang Oilfield |
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| LI Wei,HU Zhi-fang,LI Xian-lu,WANG Jia-rong,WANG Yong-chen. Standard and Application of Reservoir Evaluation in Baolang Oilfield[J]. Journal of Oil and Gas Technology, 2006, 28(1): 32-33 |
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| Authors: | LI Wei HU Zhi-fang LI Xian-lu WANG Jia-rong WANG Yong-chen |
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| Abstract: | The physical properties of oil and gas in Baolang Oilfield are poor,which belongs to the reservoirs of low porosity,low permeability and low indication,and there exists some difficulties in oil and gas evaluation.Some of the reservoirs would miss if only single recognition pattern is used for evaluation.Thus based on formation test data and information of log and well logging,standards of crossplot,pattern recognition,artificial neural networks are established for reservoir evaluation in Baolang Oilfield by using the theories of reservoir physics,percolation and neural networks,the standards are used in interpretation and better result is achieved. |
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| Keywords: | Baolang Oilfield reservoir standard for evaluation pattern recognition |
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