摘要
从低幅度构造识别的影响因素出发,采用地震正演模拟技术对吐哈盆地台北凹陷葡北—葡萄沟地区侏罗系七克台组低幅度构造特征进行分析,并以主要成藏期七克台组古地貌特征和沉积相分布特征进行低幅度构造成藏模式分析。研究表明:葡北—葡萄沟地区侏罗系七克台组低幅度构造识别受其埋藏深度和上覆地层平均速度的控制和影响,埋藏较浅且平均速度较小是低幅度构造易于识别的重要特征;该区火焰山断裂和七克台组上部泥岩控制着低幅度构造的垂向运移,缓坡带断裂结合七克台上部的泥岩盖层控制着葡北地区低幅度构造侧向运移+垂向运移的成藏模式。
Based on the influential factors of low relief structural recognition,we performed seismic forward modeling to the low relief structural features of Jurassic Qiketai Formation in the Pubei -Putaogou area, Taibei depression,Turpan-Hami Basin.We also conducted low relief structural reservoir model analysis on paleogeomorphic features and sedimentary facies distribution characteristics.The results show that the low relief structural recognition of the Jurassic Qiketai Formation in the Pubei-Putaogou area is controlled and influenced by the burial depths and average velocities of the overlying strata.Shallow burial and relatively small average velocity are easily recognizable characteristics of low relief structure.The Huoyan Mountain fault and mudstone-covered strata of Qiketai Formation controlled the vertical migration of low relief structures in this area,while the gentle slope fault fracture,combined with the mudstone capstones in the upper part of Qiketai,controlled the mode of accumulation resulted from low relief structural lateral and vertical migrations.
作者
吴勇
邱泽华
陈旋
康积伦
周路
周洁玲
周亚东
陆鹏
WU Yong;QIU Zehua;CHEN Xuan;KANG Jilun;ZHOU Lu;ZHOU Jieling;ZHOU Yadong;LU Peng(School of Geosciences and Technology,Southwest Petroleum University,Chengdu 610500,China;State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Southwest Petroleum University,Chengdu 610500,China;Exploration and Development Research Institute,Tuha Oilfield Company,PetroChina,Hami 839009,China;Southwest Branch of China Petroleum Logging (CPL )Co.,Ltd ,Chongqing 401124,China)
出处
《地学前缘》
EI
CAS
CSCD
北大核心
2019年第1期262-271,共10页
Earth Science Frontiers
基金
国家油气专项(2017ZX05008-004-008)
国家自然科学基金项目(41430316)
关键词
吐哈盆地
台北凹陷
侏罗系
低幅度构造
正演模拟
成藏分析
Turpan-Hami Basin
Taibei depression
Jurassic
low relief structures
forward modeling
accumulation analysis