| 应力场数值模拟与油藏有利区预测——以松辽盆地乾安地区归字井青三段为例 |
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| 引用本文： | 吴林强,刘成林,李冰,汪紫菱.应力场数值模拟与油藏有利区预测——以松辽盆地乾安地区归字井青三段为例[J].地质力学学报,2014(4):339-351. |
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| 作者姓名： | 吴林强 刘成林 李冰 汪紫菱 |
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| 作者单位： | 1. 中国石油大学地球科学学院,北京,102249
2. 中国地质科学院地质力学研究所,北京,100081 |
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| 基金项目： | 国土资源部公益性行业科研专项“松辽盆地泥页岩油气形成机制和分布规律研究” |
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| 摘 要： | 构造应力场在油气运聚成藏中具有重要的作用。明水组沉积末期是松辽盆地乾安地区高台子油层的一个主要成藏期,期间烃源岩的生、排烃高峰与大规模油气运聚和圈闭的形成在时间上具良好的匹配关系。利用ANSYS有限元模拟软件,对归字井地区明水组沉积末期构造应力场进行了初步模拟;同时利用地应力驱动油气运移理论,对运移势场进行了数值模拟。模拟结果表明,最大主应力受岩性控制明显,而最小主应力主要受埋深控制。已有的试油试气资料表明,具油气显示的井,大部分都位于地应力区和地势区。依据地应力和运移势场的分布,并结合地质构造特征,对油藏有利区进行了预测,为油田的勘探开发提供了科学依据。
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| 关 键 词： | 有限元 数值模拟 应力场 运移势场 油藏预测 |
NUMERICAL SIMULATION OF TECTONIC STRESS FIELD AND PREDICTION OF OIL-FAVORED AREAS:A CASE STUDY OF THE THIRD MEMBER OF QINGSHANKOU FORMATION IN GUIZIJING REGION OF QIAN′AN AREA,SONGLIAO BASIN |
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| WU Linqiang,LIU Chenglin,LI Bing,WANG Ziling.NUMERICAL SIMULATION OF TECTONIC STRESS FIELD AND PREDICTION OF OIL-FAVORED AREAS:A CASE STUDY OF THE THIRD MEMBER OF QINGSHANKOU FORMATION IN GUIZIJING REGION OF QIAN′AN AREA,SONGLIAO BASIN[J].Journal of Geomechanics,2014(4):339-351. |
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| Authors: | WU Linqiang LIU Chenglin LI Bing WANG Ziling |
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| Institution: | WU Linqiang, LIU Chenglin, LI Bing, WANG Ziling ( 1. College of Geosciences, China University of Petroleum, Beijing 102249, China ; 2. Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China) |
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| Abstract: | Tectonic stress is very important for oil.gas migration and accumulation. Petroleum accumulation for Gaotaizi reservoir in Songliao Basin mainly occurred in the end of Mingshui period. During this period, the peak of hydrocarbon generation and expulsion matches well with large scale hydrocarbon migration and accumulation periods and the formation of accumulations. In this paper, ANSYS is used to primarily simulate the tectonic stress field in the end of Mingshui period in Guizijing region of Qian′an area in South Songliao Basin. According to oil and gas migration mechanics driven by the crustal stress, migration potential field is also simulated. The results show that the first maximum principal stress is mainly controlled by lithology while the minimum principal stress is buried depth. Therefore, the well testing data shows that most wells with a show of oil and gas locate in low stress zone or low potential zone. Based on the distribution of crustal stress, migration potential fields and geologic structure features, the oil.favored areas predicted in this study will provide scientific guide for oil exploration and development. |
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| Keywords: | finite element numerical stimulation crustal stress migration potential field oil reservoir prediction |
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