超深薄储层综合预测技术在英买力地区的应用
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  • 英文篇名:Ultra-deep reservoir comprehensive prediction in Yingmaili Area
  • 作者:李斌 ; 苏洲 ; 孙琦 ; 高登宽 ; 杨新影 ; 刘博
  • 英文作者:LI Bin;SU Zhou;SUN Qi;GAO Dengkuan;YANG Xinying;LIU Bo;Research Institute of Petroleum Exploration and Development,Tarim Oilfield Company,PetroChina;College of Geophysics and Petroleum Resources,Yangtze University;
  • 关键词:薄储层 ; 地震正演 ; 地震相 ; 地震反演 ; 高亮体 ; 油气检测 ; 英买力构造带
  • 英文关键词:thin sand;;seismic forward modeling;;seismic facies;;seismic inversion;;highlight;;hydrocarbon detection;;Yingmaili structure belt
  • 中文刊名:SYDQ
  • 英文刊名:Oil Geophysical Prospecting
  • 机构:中国石油塔里木油田分公司勘探开发研究院;长江大学地球物理与石油资源学院;
  • 出版日期:2018-12-30
  • 出版单位:石油地球物理勘探
  • 年:2018
  • 期:v.53
  • 基金:国家科技重大专项“塔里木盆地大型地层油气藏分布规律与有利区带评价”(2017ZX05001001-008)资助
  • 语种:中文;
  • 页:SYDQ2018S2042
  • 页数:8
  • CN:S2
  • ISSN:13-1095/TE
  • 分类号:18+292-298
摘要
为了落实英买46区块巴西改组薄砂层油藏面积和地质资源量,通过地震响应正演模拟、地震反演、敏感属性相结合,刻画了薄砂层展布特征;在此基础上,应用油气检测技术,落实油气聚集区域。经已钻井验证,预测薄砂层及油气分布与实钻结果的吻合率超过85%。对英买46区块巴西改组薄砂层整体地质认识较以往发生了很大变化,发现薄砂层物源来自东侧,为三角洲水下分流河道沉积,砂体广泛发育,局部呈现间湾特征,为构造控制的岩性油藏。
        This paper expounds the development model of sand body of the Cretaceous Baxigai Formation in Yingmaili,Tabei uplift,and proposes a thin reservoir prediction approach.First the distribution characteristics of thin sands are identified with seismic forward modeling,seismic inversion,and sensitive attributes.Then,hydrocarbon detection methods are applied to determine oil and gas accumulation zones.The latter drilling results verify the correctness of our prediction.The coincidence rate of prediction is as high as 85%.Our research has totally changed the geological understanding of the area.Thin reservoirs belong to the delta subaqueous distributary channel deposition mode,and their source came from the east.They are lithologic reservoirs controlled by structures.The research provides a solid foundation for the future exploration and development.
引文
[1] 白晓寅,黄玉,陈永波,等.低幅度构造—岩性油气藏识别技术[J].石油地球物理勘探,2012,47(2):291-297.BAI Xiaoyin,HUANG Yu,CHEN Yongbo,et al.Recognition of low relief structure-lithologic reservoir[J].Oil Geophysical Prospecting,2012,47(2):291-297.
    [2] 刘勇,王振宇,马青.英买力地区白垩系沉积特征及沉积相类型[J].新疆石油地质,2007,28(1):20-24.LIU Yong,WANG Zhenyu,MA Qing.Characteristics and types of sedimentary facies of Cretaceous in Yinmaili Area[J].Xinjiang Petroleum Geology,2007,28(1):20-24.
    [3] 赵继龙,熊冉,张先龙,等.塔北隆起英买力地区舒善河组薄储层预测[J].地球物理学进展,2014,29(6):2851-2857.ZHAO Jilong,XIONG Ran,ZHANG Xianlong,et al.The thin reservoir prediction of Shushanhe formation in the Tarim north uplift Yengimahalla area[J].Progress in Geophysics,2014,29(6):2851-2857.
    [4] 杜浩坤,蔡其新,肖斌,等.普光地区中三叠统雷口坡组顶部储层分布预测[J].石油地球物理勘探,2017,52(6):94-99.DU Haokun,CAI Qixin,XIAO Bin, et al.Reservoir distribution prediction on the top of Middle Triassic Leikoupo Formation in Puguang Area[J].Oil Geophysical Prospecting,2017,52(6):94-99.
    [5] 赵建儒,曹雪莲,白军,等.储层预测技术在鸭西、柳沟庄地区的应用[J].石油地球物理勘探,2012,47(增刊1):59-65.ZHAO Jianru,CAO Xuelian,BAI Jun,et al.Reservoir predictions in Yaxi and Liugouzhuang areas[J].Oil Geophyisical Prospecting,2012,47(增刊1):59-65.
    [6] 黄诚,李鹏飞,王腾宇,等.地震正演模拟技术在深层砂泥岩薄互层地层识别中的应用[J].科技通报,2015,31(11):172-176.HUANG Cheng,LI Pengfei,WANG Tengyu,et al.Application of seismic forward modeling technique in identifying deep sand-shale thin interbeds[J].Bulletin of Science and Technology,2015,31(11):172-176.
    [7] 肖学,杨蕾,王旭.泌阳凹陷孙岗地区地震相识别[J].岩性油气藏,2013,25(2):31-35.XIAO Xue,YANG Lei,WANG Xu.Seismic facies identification in Sungang area,Biyang Sag[J].Lithologic Reservoirs,2013,25(2):31-35.
    [8] 于京波,潘红卫,郭增虎.松辽盆地南部岩性圈闭识别技术及效果[J].石油地球物理勘探,2006,41(增刊1):57-61.YU Jingbo,PAN Hongwei,GUO Zenghu.Identification of lithologic traps in south Songliao basin and effects[J].Oil Geophysical Prospecting,2006,41(S1):57-61.
    [9] 赵继龙,王俊鹏,张先龙,等.基于地震多属性融合与地质统计学反演的薄层砂岩预测[J].地质科技情报,2014,33(5):93-98.ZHAO Jilong,WANG Junpeng,ZHANG Xianlong,et al.Thin sandstone prediction based on multi-seismic attribute information fusion and geostatistical inversion[J].Geological Science and Technology Information,2014,33(5):93-98.
    [10] 安鹏,于志龙,党虎强,等.地震属性技术在湖底河道砂体刻画中的应用[J].石油地球物理勘探,2017,52(增刊2):194-199.AN Peng,YU Zhilong,DANG Huqiang,et al.Channel sand body description with seismic attributes[J].Oil Geophysical Prospecting,2017,52(S2):194-199.
    [11] 李永义.双相介质油气检测技术在龙西—杏西地区含油性预测中的应用[J].石油地球物理勘探,2017,52(增刊1):72-76.LI Yongyi.Hydrocarbon detection based on two-phase medium for oil-bearing prediction in the Longxi-Xingxi area[J].Oil Geophysical Prospecting,2017,52(S1):72-76.
    [12] 王云专,郭雪豹,邢小林.薄层峰值频率特征分析[J].地球物理学进展,2013,28(5):2515-2523.WANG Yunzhuan,GUO Xuebao,XING Xiaolin,et al.Analysis of peak frequency characteristics of thin bed[J].Progress in Geophysics,2013,28(5):2515-2523.
    [13] 陈学华,贺振华,文晓涛,等.低频阴影的数值模拟与检测[J].石油地球物理勘探,2009,44(3):298-303.CHEN Xuehua,HE Zhenhua,WEN Xiaotao,et al.Numeric simulation and detection of low frequency shadow[J].Oil Geophysical Prospecting,2009,44(3):298-303.
    [14] 金惠,曾富英,张绍胜,等.柴达木盆地三湖地区的烃类检测技术研究[J].地球物理学进展,2010,45(1):185-190.JIN Hui,ZENG Fuying,ZHANG Shaosheng,et al.Hydrocarbon detection technique and research in Three Lake Area of Qaidam Basin[J].Progress in Geophysics,2010,45(1):185-190.
    [15] 宁松华.吸收系数在川东南油气预测中的应用[J].新疆石油地质,2007,28(2):167-169.NING Songhua.Application of absorption coefficient to oil-gas prediction in southeastern Sichuan Area[J].Xinjiang Petroleum Geology,2007,28(2):167-169.

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