| New Technology of Optimizing Heavy Oil Reservoir Management by Geochemical Means：A Case Study in Block Leng 43,Liaohe Oilfield,China |
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| 引用本文： | 赵红静,张春明,梅博文,S.R.Larter,吴铁生.New Technology of Optimizing Heavy Oil Reservoir Management by Geochemical Means：A Case Study in Block Leng 43,Liaohe Oilfield,China[J].中国地球化学学报,2002,21(4):340-347. |
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| 作者姓名： | 赵红静 张春明 梅博文 S.R.Larter 吴铁生 |
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| 作者单位： | [1]GeochemistryResearchCenter,JianghanPetroleumUniveristy,Jingzhou434102,China [2]NRGinFossilFuelsandEnvironmentalGeochemistry,UniversityofNewcastle,Newcastle－upon－TyneNE17RU,UK |
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| 摘 要： | Geochemical methods can be used to optimize heavy oil reservoir management.The distribution of some biomarkers in oils is different with the degree of biodegradation.Geochemi-cal parameters can be used to predict oil viscosity and thus to preliminarily evaluate the difficult-ties involved in oil production.The results of viscosity prediction for oils from reservoir S3^2 in block Leng 43 and preliminary evaluation of oil production difficulty are consistent with the geological data.
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| 关 键 词： | 地球化学 原油组成 生物标志化合物 重油 地质构造 辽河油田 |
New technology of optimizing heavy oil reservoir management by geochemical means: A case study in block Leng 43, Liaohe Oilfield, China |
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| Zhao Hongjing,Zhang Chunming,Mei Bowen,S. R. Larter,Wu Tiesheng.New technology of optimizing heavy oil reservoir management by geochemical means: A case study in block Leng 43, Liaohe Oilfield, China[J].Chinese Journal of Geochemistry,2002,21(4):340-347. |
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| Authors: | Zhao Hongjing Zhang Chunming Mei Bowen S R Larter Wu Tiesheng |
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| Institution: | (1) Geochemistry Research Center, Jianghan Petroleum University, 434102 Jingzhou, China;(2) NRG in Fossil Fuels and Environmental Geochemistry, University of Newcastle, NE1 7RU Newcastle-upon-Tyne, UK;(3) Institute of Exploration and Development, Liaohe Oilfield, 124010 Panjin, China |
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| Abstract: | Geochemical methods can be used to optimize heavy oil reservoir management. The distribution of some biomarkers in oils is
different with the degree of biodegradation. Geochemical parameters can be used to predict oil viscosity and thus to preliminarily
evaluate the difficulties involved in oil production. The results of viscosity prediction for oils from reservoir S
3
2
in block Leng 43 and preliminary evaluation of oil production difficulty are consistent with the geological data. |
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| Keywords: | geochemistry crude-oil component biomarker viscosity prediction evaluation of production difficulty Liaohe Oilfield |
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