石油学报 ›› 2015, Vol. 36 ›› Issue (S2): 36-50,59.DOI: 10.7623/syxb2015S2003

• 地质勘探 • 上一篇    下一篇

辽河坳陷油气分布门限与有利成藏区带预测评价

孟卫工1, 庞雄奇2,3, 李晓光1, 李建华2,3, 彭俊文2,3, 肖爽2,3   

  1. 1. 中国石油辽河油田公司 辽宁盘锦 124010;
    2. 油气资源与探测国家重点实验室 北京 102249;
    3. 中国石油大学盆地与油藏研究中心 北京 102249
  • 收稿日期:2015-08-20 修回日期:2015-11-12 发布日期:2016-02-24
  • 通讯作者: 孟卫工,男,1963年2月生,1985年获西南石油学院学士学位,2006年获西南石油大学博士学位,现任中国石油辽河油田公司副总经理、教授级高级工程师,主要从事油气勘探工作.Email:mengwg@petrochina.com.cn
  • 基金资助:

    国家重点基础研究发展计划(973)项目(2006CB202300)资助.

Reservoir distribution threshold and prediction of favorable hydrocarbon accumulation zones in Liaohe depression

Meng Weigong1, Pang Xiongqi2,3, Li Xiaoguang1, Li Jianhua2,3, Peng Junwen2,3, Xiao Shuang2,3   

  1. 1. PetroChina Liaohe Oilfield Company, Liaoning Panjin 124010, China;
    2. State Key Laboratory for Petroleum Resources and Prospecting, Beijing 102249, China;
    3. Basin and Reservoir Research Center, China University of Petroleum, Beijing 102249, China
  • Received:2015-08-20 Revised:2015-11-12 Published:2016-02-24

摘要:

经典的油气地质理论指导辽河坳陷油气勘探取得了重要进展,但随着油气勘探的深入,油气藏越来越难以被发现,主要原因是基于逻辑判断和定性分析的传统研究方法越来越不能适应精细勘探的需要.以油气藏分布临界条件为切入点展开油气分布规律研究,表明油气藏形成与分布受烃源灶(S)、沉积相(D)、区域盖层(C)和低势区(P)四类功能要素的控制:辽河坳陷大民屯凹陷已发现油气藏全部分布在源灶中心2倍排烃源岩半径范围内(S);绝大部分分布在沉积物颗粒为0.1~0.5 mm的河流、三角洲优相储层中(D);全部分布在区域盖层的厚度大于25 m的地层之下(C);全部分布在距离古隆起顶点相对距离小于1的构造高部位(P1=M);全部分布在距离断裂带3 km范围内(P2=F);96 % 油藏分布在势指数小于0.5的低界面势能区(P3=L).综合分析建立了大量成藏期(T)功能要素组合控藏模式(T-CDPS),并基于这一模式预测了辽河坳陷主成藏期(T)背斜类(T-CDMS)、岩性类(T-CDLS)、潜山类(T-CSMF)3类油气藏有利分布发育区共117个.回放检验表明整个辽河坳陷95 % 以上已发现的油气藏都分布在烃源灶(S)、储层相(D)、封盖层(C)、低势区(P)四要素叠合的有利成藏区带内,成藏概率越高的地区发现的油气藏个数越多、找到的储量越大,反映了功能要素组合控油气分布模式的科学性与可靠性.

关键词: 辽河坳陷, 功能要素组合, 成藏模式, 有利成藏区带, 定量预测

Abstract:

Great progresses have been achieved in hydrocarbon exploration of Liaohe depression under the guidance of classic hydrocarbon geological theory. However, with the development of oil and gas explorations, it is more and more difficult to discover hydrocarbon reservoirs.The main reason is that the traditional research methods based on logic judgment and qualitative analysis are increasingly unable to meet the demands of fine explorations. Hydrocarbon distribution laws are studied based on the critical conditions of hydrocarbon reservoir distribution. The results show that the formation and distribution of hydrocarbon reservoirs are controlled by four functional elements, i.e., source kitchen (S), sedimentary facies (D), regional cap rocks (C) and low potential area (P). Hydrocarbon reservoirs have been found in Damintun depression of Liaohe depression, distributed within the double radius of hydrocarbon-expulsion source rocks in the center of source kitchen (S). A majority of hydrocarbon reservoirs are distributed in the favorable fluvial and delta facices reservoirs (D) with the sediment grain of 0.1-0.5 mm. All these hydrocarbon reservoirs are formed beneath formations with the regional cap-rock thickness more than 25m (C), located in tectonic high-positions with the relative distance less than 1 from the paleo-high top (P1=M). 96 % of these reservoirs were distributed in the range of 3 km away from the fault zone (P2=F) and the low interfacial potential zones with the potential energy index less than 0.5 (P3=L). Through comprehensive analysis, the mode of functional element (T-CDPS) in the massive accumulation period (T) was established. On this basis,a total of 117 favorable hydrocarbon distribution and development zones were predicted in Liaohe depression during the major accumulation period (T), classified into three reservoir types, i.e., anticline type (T-CDMS), lithology type (T-CDFS) and buried-hill type(T-CSMF).The play back test proved that in 95 % of Liaohe depression, hydrocarbon reservoirs have been discovered to distribute in the favorable accumulation zones with four elements, i.e., source kitchen (S), reservoir facies (D),cap rocks (C) and low potential area (P). More reservoirs with greater reserves found in the regions with higher accumulation probability reflect the scientificity and reliability of hydrocarbon distribution mode controlled by functional element assemblages.

Key words: Liaohe depression, functional element assemblage, accumulation mode, favorable accumulation zones, quantitative prediction

中图分类号: