Geologic Exploration

Application of Pre-stack Inversion Technology in Gas Hydrate Reservoir Prediction

  • Meng Dajiang ,
  • Lu Yunqian ,
  • Zhang Baojin ,
  • Wang Lijie
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  • 1. Guangdong Provincial Laboratory of Southern Ocean Science and Engineering (Guangzhou), Guangzhou, Guangdong 511458, China;
    2. Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou, Guangdong 510760, China;
    3. National Engineering Research Center for Natural Gas Hydrate Exploration and Development, Guangzhou, Guangdong 511458, China

Received date: 2022-06-26

  Revised date: 2022-12-09

  Online published: 2023-05-29

Abstract

Seabed sediments containing gas hydrate usually have high compressional and shear wave velocity and low density, while only wave impedance attributes can be acquired by conventional post-stack impedance inversion. Due to the low density of hydrates, the wave impedance of hydrate-bearing formation was superimposed with that of surrounding formation to a certain extent. Therefore, there was some error in identification of hydrate reservoirs by post-stack wave impedance. In order to improve the prediction accuracy of gas hydrate ore body, the pre-stack inversion technology was proposed to improve the low prediction accuracy of gas hydrate reservoirs. The sensitive elastic parameters of the gas hydrate reservoir were determined through the petrophysical analysis, and the gas hydrate and gaseous hydrocarbon reservoir were predicted with the pre-stack inversion technology on the basis of seismic trace set optimization, fine synthetic record calibration and initial model establishment. The results of the study show that The intersection of compressional and shear wave velocity was the most sensitive elastic parameter to identify the reservoir in the study area, and the identification factor of compressional and shear wave velocity was reconstructed based on the coordinate rotation technology and effective in identifying the reservoirs and characterizing the hydrate and gaseous hydrocarbon reservoirs clearly. The prediction results show that the natural gas hydrate ore body in the study area struck nearly from south to north, and the hydrate and gaseous hydrocarbon were relatively developed in the south of the ore body, which was in line with the drilling conditions. The prediction results can provide a reliable basis for hydrate reservoir calculation in terms of area and thickness.

Cite this article

Meng Dajiang , Lu Yunqian , Zhang Baojin , Wang Lijie . Application of Pre-stack Inversion Technology in Gas Hydrate Reservoir Prediction[J]. Special Oil & Gas Reservoirs, 2023 , 30(2) : 51 -57 . DOI: 10.3969/j.issn.1006-6535.2023.02.007

References

[1] MAKOGON Y F,HOLDITCH S A,MAKOGON T Y.Natural gas-hydrates:a potential energy source for the 21st century[J].Journal of Petroleum Science & Engineering,2007,56(1):14-31.
[2] 梁劲,王明君,陆敬安,等.南海北部神狐海域含天然气水合物沉积层的速度特征[J].天然气工业,2013,33(7):29-35.
LIANG Jin,WANG Mingjun,LU Jing'an,et al.Characteristics of sonic and seismic velocities of gas hydrate bearing sediments in the Shenhu Area,northern South China Sea[J].Natural Gas Industry,2013,33(7):29-35.
[3] 郭依群,乔少华,吕万军.基于声波速度分析神狐海域水合物垂向分布特征[J].海洋地质前沿,2011,27(7):7-12.
GUO Yiqun,QIAO Shaohua,LYU Wanjun.Vertical distribution of gas hydrate in Shenhu Area of the South China Sea based on acoustic velocity[J].Marine Geology Frontiers,2011,27(7):7-12.
[4] 马在田,耿建华,董良国,等.海洋天然气水合物的地震识别方法研究[J].海洋地质与第四纪地质,2002,22(1):1-8.
MA Zaitian,GENG Jianhua,DONG Liangguo,et al.Seismic recognition studies on marine gas hydrat[J].Marine Geology & Quaternary Geology,2002,22(1):1-8.
[5] 沙志彬,万晓明,赵忠泉,等.叠前同时反演技术在珠江口盆地西部海域天然气水合物储层预测中的应用[J].物探与化探,2019,43(3):476-485.
SHA Zhibin,WAN Xiaoming, ZHAO Zhongquan,et al.The application of pre-stack simultaneous inversion to gas hydrates reservoir prediction in the western Pearl River Mouth Basin[J].Geophysical and Geochemical Exploration,2019,43(3):476-485.
[6] 王秀娟,钱进,MYUNG L.天然气水合物和游离气饱和度评价方法及其在南海北部的应用[J].海洋地质与第四纪地质,2017,37(5):35-47.
WANG Xiujuan,QIAN Jin, MYUNG L.Methods for estimation of gas hydrate and free gas saturations and application to the northern slope of South China Sea[J].Marine Geology & Quaternary Geology,2017,37(5):35-47.
[7] 孟大江,文鹏飞,张宝金,等.天然气水合物储层反演及饱和度预测[J].海洋地质前沿,2019,35(11):43-51.
MENG Dajiang,WEN Pengfei,ZHANG Baojin,et al.Gas hydrate reservoir inversion and saturation prediction[J].Marine Geology Frontiers,2019,35(11):43-51.
[8] 廉桂辉,朱亚婷,王晓光,等.叠前反演技术在玛湖油田储层预测中的应用[J].特种油气藏,2022,29(1):80-84.
LIAN Guihui,ZHU Yating,WANG Xiaoguang,et al.Application of pre-stack inversion technology to reservoir prediction of Mahu Oilfield[J].Special Oil & Gas Reservoirs,2022,29(1):80-84.
[9] 王玉梅,刘福平,杨长春.典型油藏反射界面的Aki-Richards和Shuey近似误差分析[J].地球物理学进展,2011,26(2):616-624.
WANG Yumei,LIU Fuping,YANG Changchun.The error analysis of Aki-Richards and Shuey approximations of reflectional coefficients at the reflectional interfaces of several type reservoirs[J].Progress in Geophysics,2011,26(2):616-624.
[10] 印兴耀,曹丹平,王保丽,等.基于叠前地震反演的流体识别方法研究进展[J].石油地球物理勘探,2014,49(1):22-34,46
YIN Xingyao, CAO Danping, WANG Baoli, et al. Research progress of fluid discrimination with pre-stack seismic inversion[J].Oil Geophysical Prospecting, 2014, 49(1): 22-34,46.
[11] 高荣锦.清水洼陷致密砂岩地震岩石物理特征及优势储层预测[J].特种油气藏,2021,28(5):53-59.
GAO Rongjin.Seismicpetrophysical characteristics of dense sandstones in Qingshui Sag and dominant reservoir prediction[J].Special Oil & Gas Reservoirs,2021,28(5):53-59.
[12] 孟大江, 文鹏飞, 张如伟,等. 天然气水合物横波速度等效介质模型预测方法[J]. 石油地球物理勘探, 2020, 55(1): 117-125.
MENG Dajiang, WEN Pengfei, ZHANG Ruwei, et al. Gas hydrate S-wave velocity prediction method based on effective medium model[J]. Oil Geophysical Prospecting, 2020, 55(1): 117-125.
[13] 叶建良,秦绪文,谢文卫,等.中国南海天然气水合物第二次试采主要进展[J].中国地质,2020,47(3):557-568.
YE Jianliang,QIN Xuwen,XIE Wenwei,et al.Main progress of the second gas hydrate trial production in the South China Sea[J].Geology in China,2020,47(3):557-568.
[14] 谭富荣,耿庆明,刘世明,等.天然气水合物含油气系统研究现状与展望[J].特种油气藏,2021,28(1):1-9.
TAN Furong,GENG Qingming,LIU Shiming,et al.Research status and prospect of natural gas hydrate petroleum system[J].Special Oil & Gas Reservoirs,2021,28(1):1-9.
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