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辽河西部凹陷复杂构造圈闭含油性主控因素及定量模式
引用本文:张凤奇,庞雄奇,王震亮,李永新.辽河西部凹陷复杂构造圈闭含油性主控因素及定量模式[J].吉林大学学报(地球科学版),2009,39(6):991-997.
作者姓名:张凤奇  庞雄奇  王震亮  李永新
作者单位:1.西北大学 地质学系,西安710069;2.西安石油大学 油气资源学院,西安710065;3.中国石油大学 盆地与油藏研究中心,北京102249;4.中国石油勘探开发研究院,北京100083
基金项目:中国石油天然气油气勘探超前共性科技项目 
摘    要:为解决辽河西部凹陷复杂构造圈闭含油性主控因素及定量表征问题,对研究区103个复杂构造圈闭进行地质统计和R型主因子分析。研究结果表明,圈闭距离排烃中心的距离、所在地点的流体势、盖层厚度、砂体厚度、切割圈闭的断层个数等是制约复杂构造圈闭油充满度的主控因素。通过地质解剖分析表明,圈闭距离排烃中心越近、处于相对低势区且储盖厚度与断距满足三元耦合关系(储层中砂岩厚度<断距<盖层中泥岩厚度)时,该复杂构造圈闭油充满度就较大。依据相关性分析和多元回归分析建立了复杂构造圈闭油充满度与其主控因素的多元非线性定量预测模型。选取未参与模型建立的21个复杂构造圈闭进行预测。预测结果表明,80%以上的复杂构造圈闭油充满度理论值与实际值吻合。

关 键 词:复杂构造圈闭  含油性  主控因素  定量模式  辽河西部凹陷  油气  
收稿时间:2009-03-18

Main Controlling Factors and Quantitative Model of Oil-Bearing of Complex Structural Trap in West Sag of Liaohe Depression
ZHANG Feng-qi,PANG Xiong-qi,WANG Zhen-liang,LI Yong-xin.Main Controlling Factors and Quantitative Model of Oil-Bearing of Complex Structural Trap in West Sag of Liaohe Depression[J].Journal of Jilin Unviersity:Earth Science Edition,2009,39(6):991-997.
Authors:ZHANG Feng-qi  PANG Xiong-qi  WANG Zhen-liang  LI Yong-xin
Institution:1.Department of Geology, Northwest University, Xi’an710069, China;2.School of Petroleum Resources, Xi’an Shiyou University, Xi’an710065, China;3.Basin &|Reservoir Research Center, China University of Petroleum, Beijing102249, China;4.Research Institute of Petroleum Exploration and Development, PetroChina, Beijing100083, China
Abstract:In order to understand main controlling factors and quantitative characterization of oil-bearing of complex structural trap in west sag of Liaohe depression,the 103 complex structural traps were researched on the base of statistical analysis of geology and R-factor analysis.The results showed that the oil fullness degree of complex structural trap was controlled by the distances between the center of expulsion hydrocarbon and trap,the fluid potential energy,the thickness of caprock and sand body and the num...
Keywords:complex structural trap  oil-bearing  main controlling factors  quantitative model  west sag of Liaohe depression  petroleum gas
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