地球物理学报 ›› 2021, Vol. 36 ›› Issue (5): 1935–1940.doi: 10.6038/pg2021EE0246

• 应用地球物理学Ⅰ(油气及金属矿产地球物理勘探) • 上一篇    下一篇

地震曲率形态指数预测低幅度构造的应用及效果

常德双1, 许凤1, 徐建国2, 马文杰2, 刘卉1, 陈志刚1   

  1. 1.东方地球物理公司研究院地质研究中心,涿州 072751;
    2.中国石油国际勘探开发有限公司,北京 100034
  • 收稿日期:2020-11-09 修回日期:2021-05-12 发布日期:2021-11-11
  • 作者简介:常德双,男,1970年生,高级工程师,从事地震地质综合研究. E-mail: Changdeshuang@cnpc.com.cn
  • 基金资助:
    国家科技重大专项(2016ZX05029005)和中国石油集团重大科技专项(2019D-4307)联合资助.

Application of seismic curvature shape-index to predict the low-relief structure

CHANG DeShuang1, XU Feng1, XU JianGuo2, MA WenJie2, LIU Hui1, CHEN ZhiGang1   

  1. 1. BGP Geological Research Center, Zhuozhou 072751, China;
    2. China National Oil and Gas Exploration and Development Corporation(CNODC), Beijing 100034, China;
  • Received:2020-11-09 Revised:2021-05-12 Published:2021-11-11

摘要: 近年来,低幅度构造油藏作为油气勘探的一个重要接替领域,在油气勘探与开发中日益受到重视,但目前预测低幅度构造的方法均存在一定局限性.本文探索了一种利用地震曲率形态指数预测低幅度构造的新方法,首先对地震数据体进行多窗口倾角扫描,然后对倾角数据体进行多种曲率属性计算从而得到曲率形态指数数据体,将得到的曲率形态指数数据体沿目的层进行数值提取从而获得目的层的曲率形态指数结果,形态指数高值区为低幅度构造高部位.曲率形态指数预测低幅度构造不用解释层位、受人为因素影响小,能够预测更小尺度的低幅度构造,并且预测结果准确率高.此方法在厄瓜多尔T区目的层进行应用,可以预测0.01 m2的小尺度低幅度构造,预测结果与钻井稳合率高,后续部署的2口钻井均获得工业油流,对类似地质条件地区的勘探开发具有一定的借鉴意义.

关键词: 形态指数, 低幅度构造, 曲率, 构造形态

Abstract: Low-relief structure reservoir is an important field and is paid more attention in oil-gas exploration and development in recent years. However, prediction methods of low-relief structure are limited more or less. In this paper, seismic curvature shape index is applied to low-relief structure prediction. The method is as follows. First, the seismic data is processed by multi-window dip scan and the curvature shape index data is obtained by calculating curvature attributes of the dip data. Curvature shape index is value extracted along the target layer from the curvature shape index data we got. The structure with large shape index is high position of a low-relief structure. Curvature shape index can predict low-relief structure in smaller scale with high accuracy in spite of horizons interpretation and human factors. The method is applied in a target layer of T zone in Ecuador to predict low-relief structure in small scale with area of 0.01 m2 and the coincidence rate of prediction result is high with drilling. 2 wells are drilled subsequently and all produce commercial oil flow. It is reference significant to exploration and development of the area with similar geological condition.

Key words: Shape index, Low-relief structure, Curvature, Structural shape

中图分类号: 

  • P631
[1] Bai X Y, Huang Y, Chen Y B, et al.2012. Recognition of low relief structure-lithologic reservoir[J]. Oil Geophysical Prospecting (in Chinese), 47(2): 291-397, doi: 10.13810/j.cnki.issn.1000-7210.2012.02.004.
[2] Bergbauer S, Mukerji T, Hennings P.2003. Improving curvature analyses of deformed horizons using scale-dependent filtering techniques[J]. AAPG bulletin, 87(8): 1255-1272.
[3] Cai T, Bi M B, Zhao W W, et al.2018. Prediction on low amplitude structures of the Yanan Formation in the southern Tianhuan Depression and its application[J]. Petroleum Geology and Recovery Efficiency (in Chinese), 25(1): 43-48, doi: 10.13673/j.cnki.cn37-1359/te.2018.01.007.
[4] Cao T R, Zhou Y.1999. Study on low-extent structures in desert cover area[J]. Xinjiang Petroleum Geology (in Chinese), 20(3): 218-220.
[5] Chen G J, Song G Q.2003. Discussion on interpretation of low amplitude structures[J]. Geophysical Prospecting For Petroleum (in Chinese), 42(3): 395-398.
[6] Chen Y B, Pan J G, Gao J H, et al.2012. The key technology and application research of lithology reservoir-An example from FU 11 well area in eastern Junggar basin[J]. Progress in Geophysics (in Chinese), 27(4): 1598-1608, doi: 10.6038/j.issn.1004-2903.2012.04.037.
[7] Fang G J, ZengY J, Kong L H.2010. Identification method for low amplitude structure in foreland basin slope zone,A Block of South America[J]. Oil Geophysical Prospecting (in Chinese), 45(supplement1): 134-136, doi: 10.13810/j.cnki.issn.1000-7210.2010.s1.004.
[8] He X Z, Sang X M, Shi L G.2003. Key points of seismic data processing in small range structural traps-a case study of data processing in the area I of the north edge, Zhunger depression[J]. Petroleum Geophysics (in Chinese), 1(3): 41-44.
[9] Jiang C J, Jiang H L, Zhao F H.2005. Micro-range structure and lithologic traps identification technique and its application[J]. Petroleum Geology & Oilfield Development in Daqing (in Chinese), 24(3): 19-20.
[10] Li L C.2000. Exploration of the low-amplitude lithologic and stratigraphic traps under complicated conditions of near-surface structures in junggarbasin[J]. Xinjiang Petroleum Geology (in Chinese), 21(6): 453-455.
[11] Li T, Wei C G, He Y D.2012. Exploration of subtle reservoir of foreland basin in South America[J]. Progress in Geophysics (in Chinese), 27(1): 0320-0325, doi: 10.6038/j.issn.1004-2903.2012.01.036.
[12] Liang G P.2010. Review of low-amplitude structure recognition technology[J]. West-China Exploration Engineering (in Chinese), 22(3): 63-66.
[13] Ma Z Z, Xie Y F, Zhang Z W, et al.2016. Assessment and optimistic of cluster platform for foreland basin slop belt exploration: Taking the TW block in oriente basin, Ecuador as an example[J]. Journal of Jilin University (Earth Science Edition), 46(6): 1884-1894, doi: 10.13278/j.cnki.jjuese.201606307.
[14] Pu R H, Ye L S, He F Q, et al.1998. An approach of spill point constrained velocity field: A method for improving image accuracy of low closure structures[J]. Oil & Gas Geology (in Chinese),19(2): 106-109.
[15] Roberts A.2001. Curvature Attributes and Their Application to 3D Interpreted Horizons[J]. First Break, 19: 85-99, doi: 10.1046/j.0263-5046.2001.00142.x.
[16] Wang X S.1995. Application of diplog data in low-amplitudestructural interpretation[J]. Oil Geophysical Prospecting (in Chinese), 30(supplement2): 84-87, doi: 10.13810/j.cnki.issn.1000-7210.1995.s2.014.
[17] Wang Y Z, Lin C Y, Wen C Y, et al.2006. Study methods for reservoirs with low amplitude structure[J]. Xinjiang Petroleum Geology (in Chinese), 27(4): 407-409.
[18] Yang Q L, Wang Y C, Zhang J M, et al.2009. Application of low-amplitude structure recognition technique[J]. Progress in Geophysics (in Chinese), 24(3): 965-969, doi: 10.3969/j.issn.1004-2903.2009.03.019.
[19] Zhang Y D.2013. Multi-scale time to depth conversion method for deep low relief structures-take Block X in Algeria for example[J]. Progress in Geophysics (in Chinese), 28(4): 1943-1953, doi: 10.6038/pg20130437.
[20] 白晓寅, 黄玉, 陈永波, 等. 2012. 低幅度构造-岩性油气藏识别技术[J]. 石油地球物理勘探, 47(2): 291-297, doi: 10.13810/j.cnki.issn.1000-7210.2012.02.004.
[21] 柴童, 毕明波, 赵卫卫, 等. 2018. 天环坳陷南段延安组低幅度构造预测技术及应用效果[J]. 油气地质与采收率, 25(1): 43-48, doi: 10.13673/j.cnki.cn37-1359/te.2018.01.007.
[22] 曹统仁, 周翼. 1999. 沙漠覆盖区的低幅度构造研究[J]. 新疆石油地质, 20(3): 218-220.
[23] 陈广军, 宋国奇. 2003. 低幅度构造地震解释探讨[J]. 石油物探, 42(3): 395-398.
[24] 陈永波, 潘建国, 高建虎, 等. 2012. 岩性油气藏关键技术攻关与应用研究—以准噶尔盆地准东阜11井区为例[J]. 地球物理学进展, 27(4): 1598-1608, doi: 10.6038/j.issn.1004-2903.2012.04.037.
[25] 方光建, 曾永军, 孔令洪. 2010. 南美前陆盆地斜坡带低幅度构造的识别方法[J]. 石油地球物理勘探, 45(增刊1): 134-136, doi: 10.13810/j.cnki.issn.1000-7210.2010.s1.004.
[26] 何新贞, 尚新民, 石林光. 2003. 低幅度构造圈闭地震资料处理中的几个关键点-以准噶尔盆地北缘Ⅰ区资料处理为例[J]. 油气地球物理, 1(3): 41-44.
[27] 姜传金, 蒋鸿亮, 赵福海. 2005. 微幅度构造与岩性圈闭识别技术及应用[J]. 大庆石油地质与开发, 24(3): 19-20.
[28] 李涛, 魏春光, 何雨丹. 2012. 南美前陆盆地隐蔽油气藏勘探[J]. 地球物理学进展, 27(1): 0320-0325, doi: 10.6038/j.issn.1004-2903.2012.01.036.
[29] 李立诚. 2000. 准噶尔盆地近地表结构复杂条件下低幅度和岩性、地层圈闭的勘探[J]. 新疆石油地质, 21(6): 453-455.
[30] 梁国平. 2010. 低幅度构造识别技术研究综述[J]. 西部探矿工程, 22(3): 63-66.
[31] 马中振, 谢寅符, 张志伟, 等. 2016. 前陆盆地斜坡带勘探丛式平台优选评价—以厄瓜多尔奥连特盆地TW区块为例[J]. 吉林大学学报(地球科学版), 46(6): 1884-1894, doi: 10.13278/j.cnki.jjuese.201606307.
[32] 蒲仁海, 叶留生, 何发歧, 等. 1998. 溢出点约束速度场法_提高低幅度构造成图精度的方法[J]. 石油与天然气地质, 19(2): 106-109.
[33] 王小善. 1995. 地层倾角测井资料在低幅度构造解释中的应用[J]. 石油地球物理勘探, 30(增刊2): 84-87, doi: 10.13810/j.cnki.issn.1000-7210.1995.s2.014.
[34] 王延章, 林承焰, 温长云, 等. 2006. 低幅度构造油藏研究方法[J]. 新疆石油地质, 27(4): 407-409.
[35] 杨勤林, 王彦春, 张菊梅, 等. 2009. 低幅度构造识别技术在Carmen油田三维工区的应用[J]. 地球物理学进展, 24(3): 965-969, doi: 10.3969/j.issn.1004-2903.2009.03.019.
[36] 张英德. 2013. 大深度低幅度构造多尺度时深转换方法—以阿尔及利亚X区块为例[J]. 地球物理学进展, 28(4): 1943-1953, doi: 10.6038/pg20130437.
[1] 付丽华,杨文采. 谱矩方法在磁源体深度反演中的应用研究[J]. 地球物理学报, 2018, 61(7): 3044-3054.
[2] 魏脯力,孙建国. 基于网格走时计算的弯曲界面下菲涅尔体研究[J]. 地球物理学报, 2018, 61(6): 2471-2480.
[3] 骆遥,吴美平. 位场向下延拓的最小曲率方法[J]. 地球物理学报, 2016, 59(1): 240-251.
[4] 于靖波,李忠. 反正切函数拟合下的地震数据体断裂刻画方法[J]. 地球物理学报, 2015, 58(12): 4628-4635.
[5] 印兴耀,高京华,宗兆云. 基于离心窗倾角扫描的曲率属性提取[J]. 地球物理学报, 2014, 57(10): 3411-3421.
浏览
全文


摘要

被引

  分享   
  讨论   
No Suggested Reading articles found!