ISSN 1004-4140
CN 11-3017/P
Volume 31 Issue 3
Jun.  2022
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HU W, QIN D W, LI Q, et al. Application of double width seismic data to channel sand body prediction of X gas field in the East China Sea[J]. CT Theory and Applications, 2022, 31(3): 293-304. DOI: 10.15953/j.ctta.2021.017. (in Chinese)
Citation: HU W, QIN D W, LI Q, et al. Application of double width seismic data to channel sand body prediction of X gas field in the East China Sea[J]. CT Theory and Applications, 2022, 31(3): 293-304. DOI: 10.15953/j.ctta.2021.017. (in Chinese)

Application of Double Width Seismic Data to Channel Sand Body Prediction of X Gas Field in the East China Sea

doi: 10.15953/j.ctta.2021.017
  • Received Date: 2021-10-15
  • Accepted Date: 2021-11-29
  • Available Online: 2021-12-09
  • Publish Date: 2022-05-23
  • Due to that the main reservoirs of the X gas field in the East China Sea were deeply buried and have large lateral changes, the conventional seismic data resulted in poor quality and low resolution, which couldn’t meet the increasingly refined geological requirements in exploration and development. Seismic data with wideband and wide azimuth was obtained by using the acquisition method of three ships and four sources with oblique cables, which held the characteristics of high resolution, high signal-to-noise ratio and high fidelity. By taking advantage of the superior information of wideband and wide azimuth seismic data which was high-resolutional and anisotropic, combined with the simultaneous prestack inversion, the inversion body of sensitive elastic parameters of channel sand bodies in different azimuths can be obtained, and superimpose multiple azimuth inversion bodies perpendicular to the direction of the river channel to carry out fine predictions of channel sand bodies. Compared the conventional seismic data, reservoir inversion based on wideband and wide azimuth seismic data improved the prediction accuracy of channel sand bodies, laying a foundation for the progressive exploration and development of the X gas field in the East China Sea.


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  • [1]
    MOLDOVEANU N, EGAN M. From narrow-azimuth to wide-azimuth acquisition in the Gulf of Mexico[J]. First Break, 2006, 24(12): 1−8.
    CORDSEN A, GALBRAITH M. Narrow-versus wide-azimuth land 3D seismic surveys[J]. The Leading Edge, 2002, 21(8): 764−770. doi: 10.1190/1.1503181
    刘依谋, 印兴耀, 张三元, 等. 宽方位地震勘探技术新进展[J]. 石油地球物理勘探, 2014,49(3): 596−610, 420.

    LIU Y M, YIN X Y, ZHANG S Y, et al. Recent advances in wide-azimuth seismic exploration[J]. Oil Geophysical Prospecting, 2014, 49(3): 596−610, 420. (in Chinese).
    黄福强, 张异彪, 李斌, 等. 高密度宽方位深拖地震采集技术在西湖凹陷的应用[J]. 海洋石油, 2019, 39(4): 1-5.

    HUANG F Q, ZHANG Y B, LI B, et al. Application of high density and wide azimuth seismic acquisition technology with deep-tow in Xihu Sag[J]. Offshore Oil, 2019, 39(4): 1-5. (in Chinese).
    KAPOOR J, MOLDOVEANU N, EGAN M, et al. Subsalt imaging: The RAZ-WAZ experience[J]. The Leading Edge, 2007, 26(11): 1414−1422. doi: 10.1190/1.2805764
    王建花, 张金淼, 吴国忱. 宽方位杨氏模量反演和裂缝预测方法及应用—以渤中凹陷H构造潜山勘探为例[J]. 石油地球物理勘探, 2021,56(3): 593−602, 415.

    WANG J H, ZHANG J M, WU G C. Wide-azimuth Youngs modulus inversion and fracture prediction: An example of H structure in Bozhong sag[J]. Oil Geophysical Prospecting, 2021, 56(3): 593−602, 415. (in Chinese).
    熊金红, 陈岑, 曹占元, 等. 基于叠前地震全方位各向异性预测裂缝发育−以普光气田须家河组为例[J]. 地质力学学报, 2017,23(2): 280−287. doi: 10.3969/j.issn.1006-6616.2017.02.011

    XIONG J H, CHEN C, CAO Z Y, et al. Fracture development prediction based on azimuthal anisotropy analysis of prestack seismic: Take Xujiahe formation of Puguang filed for example[J]. Journal of Geomechanics, 2017, 23(2): 280−287. (in Chinese). doi: 10.3969/j.issn.1006-6616.2017.02.011
    夏亚良, 魏小东, 王中凡, 等. OVT 域方位各向异性技术在中非花岗岩裂缝预测中的应用研究[J]. 石油物探, 2018,57(1): 140−147. doi: 10.3969/j.issn.1000-1441.2018.01.018

    XIA Y L, WEI X D, WANG Z F, et al. Application of azimuthally anisotropy by OVT gather for granite fracture prediction in Central Africa[J]. Geophysical Prospecting for Petroleum, 2018, 57(1): 140−147. (in Chinese). doi: 10.3969/j.issn.1000-1441.2018.01.018
    张宪旭. 基于宽方位地震数据的煤层裂隙预测方法研究[J]. 能源与环保, 2021,43(7): 114−119, 136.

    ZHANG X X. Study on coal seam fracture prediction method based on wide azimuth seismic data[J]. China Energy and Environmental Protection, 2021, 43(7): 114−119, 136. (in Chinese).
    刘晓晖, 涂齐催, 姜雨, 等. 双宽地震资料在西湖凹陷 R 气田裂缝预测中的应用[J]. 海洋地质前沿, 2020,36(8): 57−64.

    LIU X H, TU Q C, JIANG Y, et al. Application of double-width seismic data to fracture prediction in R gasfield of Xihu sag[J]. Marine geology frontiers, 2020, 36(8): 57−64. (in Chinese).
    王斌, 尹路, 陈永波, 等. 基于 OVT 域资料的低渗透砂砾岩储集层预测[J]. 新疆石油地质, 2018,39(1): 104−108.

    WANG B, YIN L, CHEN Y B, et al. OVT domain-based prediction technology for low-permeability sandy-conglomerate reservoirs[J]. Xinjiang Petroleum Geology, 2018, 39(1): 104−108. (in Chinese).
    周华建. 基于叠前 OVT 域偏移的河道砂体预测方法[J]. 岩性油气藏, 2019,31(4): 112−120. doi: 10.12108/yxyqc.20190412

    ZHOU H J. Prediction method of channel sand body based on prestack migration in OVT domain[J]. Lithologic Reservoirs, 2019, 31(4): 112−120. (in Chinese). doi: 10.12108/yxyqc.20190412
    张春广, 丛培泓, 田军, 等. 宽方位角地震资料解释技术及应用[J]. 天然气工业, 2007,27(S1): 152−154.

    ZHANG C G, CONG P H, TIAN J, et al. Application of the wide azimuth seismic interpretation technology[J]. Gas Industry, 2007, 27(S1): 152−154. (in Chinese).
    刘传虎. 宽方位地震技术与隐蔽油气藏勘探[J]. 石油物探, 2012,51(2): 138−145, 104. doi: 10.3969/j.issn.1000-1441.2012.02.005

    LIU C H. Wide azimuth seismic technique and subtle hydrocarbon reservoir exploration[J]. Geophysical Prospecting for Petroleum, 2012, 51(2): 138−145, 104. (in Chinese). doi: 10.3969/j.issn.1000-1441.2012.02.005
    ZOEPPRITZ K. Erdbebenwellen VII b: Über reflexion und durchgang seismischer wellen durch unstetigkeitsflächen[J]. Gottinger Nachr, 1919, (1): 66−84.
    FATTI J L, SMITH G C, VAIL P J, et al. Detection of gas in sandstone reservoirs using AVO analysis: A 3D seismic case history using the geostack technique[J]. Geophysics, 1994, 59(9): 1362−1376. doi: 10.1190/1.1443695
    方中于, 朱江梅, 李勇, 等. 叠前地震同步反演方法及应用[J]. 成都理工大学学报(自然科学版), 2014,41(2): 152−156.

    FANG Z Y, ZHU J M, LI Y, et al. Study on prestack seismic simultaneous inversion and its application[J]. Journal of Chengdu University of technology (Science & Technology Edition), 2014, 41(2): 152−156. (in Chinese).
    张倩, 潘仁芳, 王湘君, 等. 叠前同步反演在港中油田的应用[J]. 长江大学学报(自然科学版), 2014,11(2): 92−95.

    ZHANG Q, PAN R F, WANG X J, et al. Application of prestack simultaneous inversion in Gangzhong oilfield[J]. Journal of Yangtze University (Science & Technology Edition), 2014, 11(2): 92−95. (in Chinese).
    姜勇, 李宁, 涂齐催. 基于叠前同步反演的储层参数预测技术研究及应用[J]. 油气藏评价与开发, 2016,6(1): 9−13. doi: 10.3969/j.issn.2095-1426.2016.01.003

    JIANG Y, LI N, TU Q C. Study on reservoir parameters prediction technique based on prestack simultaneous inversion and its application[J]. Reservoir Evaluation and Development, 2016, 6(1): 9−13. (in Chinese). doi: 10.3969/j.issn.2095-1426.2016.01.003
    秦德文, 姜勇, 侯志强, 等. 叠前同步反演技术在西湖凹陷低孔渗储层“甜点”预测中的应用[J]. 油气藏评价与开发, 2015,5(6): 12−15. doi: 10.3969/j.issn.2095-1426.2015.06.003

    QIN D W, JIANG Y, HOU Z Q, et al. Application of prestack synchronous inversion technology in “sweet spot”prediction of low porosity and permeability reservoir in Xihu sag[J]. Reservoir Evaluation and Development, 2015, 5(6): 12−15. (in Chinese). doi: 10.3969/j.issn.2095-1426.2015.06.003
    詹仕凡, 陈茂山, 李磊, 等. OVT 域宽方位叠前地震属性分析方法[J]. 石油地球物理勘探, 2015,50(5): 956−966.

    ZHAN S F, CHEN M S, LI L, et al. OVT domain wide-azimuth prestack seismic attribute analysis[J]. Oil Geophysical Prospecting, 2015, 50(5): 956−966. (in Chinese).
    李红星. 一种基于OVT域的地震储层预测方法[J]. 特种油气藏, 2019,26(4): 52−57. doi: 10.3969/j.issn.1006-6535.2019.04.009

    LI H X. A seismic reservoir prediction based on OVT domain[J]. Special Oil & Gas Reservoirs, 2019, 26(4): 52−57. (in Chinese). doi: 10.3969/j.issn.1006-6535.2019.04.009
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    通讯作者: 陈斌,
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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