Geologic Exploration

Application of Zero-Incidence-Angle Seismic Data to Thin Reservoir Prediction in HX Area

  • Wu Zeyun
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  • PetroChina Liaohe Oilfield Company, Panjin, Liaoning 124010, China

Received date: 2021-10-27

  Revised date: 2022-06-02

  Online published: 2023-01-09

Abstract

The clasolite reservoirs in the Upper Sub-member of Third Member of Shahejie Formation in HX Area are favorable reservoirs, but it is difficult to effectively identify them with conventional superimposed seismic data under the shielding effect of igneous rocks, which seriously restricts the exploration process in this area. To address this problem, wedge model was used to verify the advantages of zero-incidence angle seismic data in thin reservoir prediction. Based on the newly acquired seismic data on "two widths and one height" in HX Area, a procedure was developed for extraction and application of zero-incident-angle seismic data. According to log curve preprocessing, shear wave velocity prediction and pre-superimposing CRP gather optimization and analysis, the zero-incidence seismic data was extracted to predict for the thin sand shale reservoir in Upper Sub-member of Third Member of Shahejie Formation. The study results proved that the zero-incidence-angle seismic data overcame the inherent defects of the superimposing results, thus obtaining the information on vertical reflection and fidelity of the stratigraphic interface, achieving a higher profile resolution, a better well-seismic coincidence and a more accurate reservoir prediction. The capability to characterize thin reservoirs was particularly outstanding. According to the results of the reservoir prediction, the predicted favorable reservoir was drilled in Well H34 located in HX Area, with high production obtained in oil production test, and more than 10 million tones of new increased oil geological reserves. The study results provide support for subsequent well deployment and reserves reporting in this area.

Cite this article

Wu Zeyun . Application of Zero-Incidence-Angle Seismic Data to Thin Reservoir Prediction in HX Area[J]. Special Oil & Gas Reservoirs, 2022 , 29(4) : 76 -83 . DOI: 10.3969/j.issn.1006-6535.2022.04.010

References

[1] 刘宝鸿,张斌,郭强,等.辽河坳陷东部凹陷深层火山岩气藏的发现与勘探启示[J].中国石油勘探,2020,25(3):33-43.
LIU Baohong,ZHANG Bin,GUO Qiang,et al.Discovery and exploration inspiration of deep volcanic gas reservoirs in eastern sag of Liaohe Depression[J].China Petroleum Exploration,2020,25(3):33-43.
[2] 刘佳.辽河东部凹陷红星地区火成岩储层预测[D].大庆:东北石油大学,2017.
LIU Jia.Prediction of igneous rock reservoirs in Hongxing Area, Eastern Depression of Liaohe Oilfield[D].Daqing:Northeast Petroleum University,2017.
[3] 王延光,李皓,李国发,等.一种用于薄层和薄互层砂体厚度估算的复合地震属性[J].石油地球物理勘探,2020,55(1):153-160.
WANG Yanguang,LI Hao,LI Guofa,et al.A composite seismic attribute used to estimate the sand thickness for thin bed and thin interbed[J].Oil Geophysical Prospecting,2020,55(1):153-160.
[4] 那晓勋.井震结合统计学反演方法在薄层砂体预测中的应用[J].黑龙江科技大学学报,2020,30(5):572-576.
NA Xiaoxun.Application of method combining of well earthquake with statistical inversion in thin sand body prediction[J].Journal of Heilongjiang University of Science and Technology,2020,30(5):572-576.
[5] 杜昕,范廷恩,董建华,等.基于多层感知机网络的薄储层预测[J].石油地球物理勘探,2020,55(6):1178-1187.
DU Xin,FAN Tingen,DONG Jianhua,et al.Characterization of thin sand reservoirs based on a multi-layer perceptron deep neural network[J].Oil Geophysical Prospecting,2020,55(6):1178-1187.
[6] 国春香,郭淑文,朱伟峰,等.河流相砂泥岩薄互层预测方法研究与应用[J].物探与化探,2018,42(3):594-599.
GUO Chunxiang,GUO Shuwen,ZHU Weifeng,et al.Research and application of fluvial sand-shale thin interbedding prediction method[J].Geophysical and Geochemical Exploration,2018,42(3):594-599.
[7] 彭军,周家雄,马光克,等.基于压缩感知技术的储层描述研究及应用[J].东北石油大学学报,2020,44(3):77-83.
PENG Jun,ZHOU Jiaxiong,MA Guangke,et al.Research and application of compressed sensing technology in reservoir description[J].Journal of Northeast Petroleum University,2020,44(3):77-83.
[8] 袁成,苏明军,倪长宽.基于稀疏贝叶斯学习的薄储层预测方法及应用[J].岩性油气藏,2021,33(1):229-238.
YUAN Cheng,SU Mingjun,NI Changkuan.A new method for thin reservoir identification based on sparse Bayesian learning and its application[J].Lithologic Reservoirs,2021,33(1):229-238.
[9] 段南.叠前地震波形指示反演在薄互储层预测中的应用[J].地球物理学进展,2019,34(2):523-528.
DUAN Nan.Application of prestack seismic waveform indicates inversion in thin reservoir prediction[J].Progress in Geophysics,2019,34(2):523-528.
[10] 陈彦虎,毕建军,邱小斌,等.地震波形指示反演方法及其应用[J].石油勘探与开发,2020,47(6):1149-1158.
CHEN Yanhu,BI Jianjun,QIU Xiaobin,et al.A method of seismic meme inversion and its application[J].Petroleum Exploration and Development,2020,47(6):1149-1158.
[11] 刘海浩,丁拼搏,李向阳.含水平缝薄互层储层地震响应特征物理模拟[J].地球物理学报,2021,64(8):2927-2940.
LIU Haihao,DING Pinbo,LI Xiangyang.Physical modeling of seismic responses in thin interbedded reservoirs with horizontal fractures[J].Acta Geoscientia Sinica,2021,64(8):2927-2940.
[12] 李庆忠.用剔除拟合法求纵波正入射剖面——一种取代水平叠加的处理技术[J].石油地球物理勘探,1995,30(2):147-167.
LI Qingzhong.Producing a normal-incident P-wave section by deletion fitting method:a processing technique for replacing horizontal stack[J].Oil Geophysical Prospecting,1995,30(2):147-167.
[13] 俞寿朋,蔡希玲.拟合零炮检距剖面与分辨率[J].石油地球物理勘探,1995,30(2):168-180.
YU Shoupeng,CAI Xiling.Fitted zero-offset section and resolution[J].Oil Geophysical Prospecting,1995,30(2):168-180.
[14] 孙耀华,张宏,宋桂桥,等.剔除拟合法在ST盆地地震资料处理中的应用[J].物探化探计算技术,1999,21(3):231-237.
SUN Yaohua,ZHANG Hong,SONG Guiqiao,et al.The application of delfit method to seismic data processing of ST Basin[J].Computing Techniques for Giophysical and Geochenical Exploration,1999,21(3):231-237.
[15] 薛亚茹,陆文凯,陈小宏,等.基于正交多项式的高精度零炮检距地震道拟合[J].石油地球物理勘探,2008,43(2):213-216.
XUE Yaru,LU Wenkai,CHEN Xiaohong,et al.High-precision zero-offset seismic trace fitting based on orthogonal polynomial[J].Oil Geophysical Prospecting,2008,43(2):213-216.
[16] 吕景贵,管叶君.P波剖面的分布最优化拟合方法[J].石油地球物理勘探,1998,33(增刊2):23-26.
LYU Jinggui,GUAN Yejun.Stepwise optimal fitting method of P-wave profile[J].Oil Geophysical Prospecting,1998,33(S2):23-26.
[17] 胡中平.利用反射波的相关特性拟合零炮检距剖面——剔除追踪拟合方法[J].石油地球物理勘探,1999,34(2):218-226.
HU Zhongping.Noise-deleted tracing fitting method:fitting a zero-offset section by using the correlativity of seismic reflection wave[J].Oil Geophysical Prospecting,1999,34(2):218-226.
[18] 徐振旺,王晓光,雷文文,等.纯纵波提取技术在大民屯凹陷砂砾岩体储层预测中的应用[J].长江大学学报(自然科学版),2019,16(7):20-25.
XU Zhenwang,WANG Xiaoguang,LEI Wenwen,et al.Application of pure compression wave extraction technology in reservoir prediction of sandy conglomerate body in Damingtun Sag[J].Journal of Yangtze University(Natural Science Edition),2019,16(7):20-25.
[19] 殷八斤,曾灏,杨在岩.AVO技术的理论与实践[M].北京:石油工业出版社,1995:1-5.
YIN Bajin,ZENG Hao,YANG Zaiyan.Theory and practice of AVO technology[M].Beijing:Petroleum Industry Press,1995:1-5.
[20] 郑晓东.Zoeppritz方程的近似及其应用[J].石油地球物理勘探,1991,26(2):129-144.
ZHENG Xiaodong.Approximation of Zoeppritz equation and its application,[J].Oil Geophysical Prospecting,1991,26(2):129-144.
[21] 杨绍国,周熙襄.Zoeppritz方程的级数表达式及近似[J].石油地球物理勘探,1994,29(4):399-412.
YANG Shaoguo,ZHOU Xixiang.Series expression and approximation of Zocppritz's equation[J].Oil Geophysical Prospecting,1994,29(4):399-412.
[22] 张远银,孙赞东,杨海军,等.基于纯纵波地震资料的碳酸盐岩储集层识别[J].新疆石油地质,2020,41(5):605-611.
ZHANG Yuanyin,SUN Zandong,YANG Haijun,et al.Carbonate reservoir identification based on pure P-wave data[J].Xinjiang Petroleum Geology,2020,41(5):605-611.
[23] 丁博钊,孙赞东,蔡加铭,等.纯纵波地震资料在高石梯地区灯四段储层研究中的应用[J].石油地球物理勘探,2020,55(4):854-863.
DING Bozhao,SUN Zandong,CAI Jiaming,et al.Application of pure P-wave seismic data for studying Deng4 sub-member reservoirs in Gaoshiti Area[J].Oil Geophysical Prospecting,2020,55(4):854-863.
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