Volcanic Gas Reservoir

Prediction of volcanic fractures based on prestack azimuthal anisotropy: A case study of LFS area in southern Songliao Basin

  • Ning LI ,
  • He MIAO ,
  • Kaifang CAO
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  • 1. College of Earth Sciences, Jilin University, Changchun, Jilin 130061, China
    2. Research Institute of Exploration and Development, Sinopec Northeast Oil & Gas Company, Changchun, Jilin 130062, China

Received date: 2023-10-31

  Online published: 2024-05-07

Abstract

Anisotropic parameter inversion based on pre-stack azimuth gather seismic data is one of the primary methods for fracture prediction, among which two algorithms, RüGER approximate equation and Fourier series expansion, are more widely used. Both the anisotropic gradient in the RüGER approximate equation and the second-order term in the Fourier series expansion can characterize the crack intensity. In the experiment, the applicability of applying this two equations was compared in the single-layer interface and the fracture layer of the actual drilled wells, respectively, and the fracture spatial prediction results were compared in the actual volcanic rock development zone. There are dimensional differences in the prediction of fracture strength between the two equations of single interface model. The range of fracture strength of RüGER approximation equation is larger than that of Fourier series expansion. Multiple results exist for the calculation of fracture orientation using the RüGER approximation equation, which may result in an orientation perpendicular to the fracture. However, when applied to the fractured layers observed in wells, both methods yielded broadly consistent results regarding fracture orientation and strength. In the application to the volcanic rock formation of the LFS area in the southern Songliao Basin, the Fourier series' second-order term slightly outperformed the RüGER equation in aligning with the fracture strength interpretations derived from electrical imaging logging. Additionally, the predicted fracture orientations from both methods matched those interpreted from imaging logging. It is concluded that the Fourier series equation for predicting fractures is more suitable for popularization and application in the field of volcanic rocks.

Cite this article

Ning LI , He MIAO , Kaifang CAO . Prediction of volcanic fractures based on prestack azimuthal anisotropy: A case study of LFS area in southern Songliao Basin[J]. Petroleum Reservoir Evaluation and Development, 2024 , 14(2) : 197 -206 . DOI: 10.13809/j.cnki.cn32-1825/te.2024.02.005

References

[1] 邹才能, 赵文智, 贾承造, 等. 中国沉积盆地火山岩油气藏形成与分布[J]. 石油勘探与开发, 2008, 35(3): 257-271.
[1] ZOU Caineng, ZHAO Wenzhi, JIA Chengzao, et al. Formation and distribution of volcanic hydrocarbon reservoirs in sedimentary basins of China[J]. Petroleum Exploration and Development, 2008, 35(3): 257-271.
[2] 曹磊. 松辽盆地长岭地区中基性火山岩勘探地球物理技术进展[J]. 世界石油工业, 2023, 30(4): 30-39.
[2] CAO Lei. Progress in geophysical techniques for exploration of medium basic volcanic rocks in the Changling area of Songliao Basin[J]. World Petroleum Industry, 2023, 30(4): 30-39.
[3] 逄海明, 张辉, 郭军参, 等. 春光探区石炭系火山岩有效储层展布特征[J]. 石油地质与工程, 2022, 36(2): 22-29.
[3] PANG Haiming, ZHANG Hui, GUO Junshen, et al. Distribution characteristics of effective reservoirs of Carboniferous volcanic rocks in Chunguang exploration area[J]. Petroleum Geology & Engineering, 2022, 36(2): 22-29.
[4] 孙浩伟, 范存辉, 张云峰, 等. 川东地区二叠系火山岩储层特征[J]. 石油地质与工程, 2022, 36(2): 30-34.
[4] SUN Haowei, FAN Cunhui, ZHANG Yunfeng, et al. Reservoir characteristics of Permian volcanic rocks in eastern Sichuan[J]. Petroleum Geology & Engineering, 2022, 36(2): 30-34.
[5] 李瑞磊, 冯晓辉, 李增玉, 等. 松辽盆地南部营城组火山岩裂缝的叠前地震识别[J]. 成都理工大学学报(自然科学版), 2012, 39(6): 611-616.
[5] LI Ruilei, FENG Xiaohui, LI Zengyu, et al. Recognition of pre-stack earthquake of volcanic fractures of Yingcheng Formation in Songliao Basin, China[J]. Journal of Chengdu University of Technology(Science & Technology Edition), 2012, 39(6): 611-616.
[6] HUDSON J A. A higher order approximation of elastic wave in material containing cracks[J]. Geophysics, 1981, 64(1): 133-150.
[7] CRAMPIN S. Effective elastic constants for wave propagation through cracked solids[J]. Geophysical Journal International, 1984, 76(1): 135-145.
[8] THOMSEN L. Weak elastic anisotropy[J]. Geophysics, 1986, 51(10): 1954-1966.
[9] SENA A G. Seismic traveltime equations for azimuthally anisotropic and isotropic media: Estimation of interval elastic properties[J]. Geophysics, 1991, 56(12): 2090-2101.
[10] WINKLER K W. Aimuthal velocity variations caused by borehole stress concentrations[J]. Journal of Geophysical Research: Solid Earth, 1996, 101(4): 8615-8621.
[11] RüGER A, TSVANKIN I. Using AVO for fracture detection:analytic basis and practical solution[J]. Lead Edge, 1997, 16(10): 1429-1434.
[12] RüGER A. Variation of p-wave reflectivity with offset and azimuth in anisotropic media[J]. Geophysics, 1998, 63(3): 935-947.
[13] KRASOVEC M L, RODI W L, TOKSOZ M N. Sensitivity analysis of amplitude variation with offset(AVO) in fractured media[C]// Paper SEG-1998-0201 presented at the 1998 SEG Annual Meeting, New Orleans, Louisiana, September 1998.
[14] DOWNTON J, RUSSEELL H. Azimuthal Fourier coefficients: A simple method to estimate fracture parameters[J]. SEG Technical Program Expanded Abstracts, 2011: 269-273.
[15] 印兴耀, 张洪学, 宗兆云. OVT数据域五维地震资料解释技术研究现状与进展[J]. 石油物探, 2018, 57(2): 155-178.
[15] YIN Xingyao, ZHANG Hongxue, ZONG Zhaoyun. Research status and progress of 5D seismic data interpretation technology in OVT domain[J]. Geophysical Prospecting for Petroleum, 2018, 57(2): 155-178.
[16] 杨勤勇, 赵群, 王世星, 等. 纵波方位各向异性及其在裂缝检测中的应用[J]. 石油物探, 2016, 45(2): 177-181.
[16] YANG Qinyong, ZHAO Qun, WANG Shixing, et al. P-wave azimuthal anisotropy and its application in detection of fractures[J]. Geophysical Prospecting for Petroleum, 2016, 45(2): 177-181.
[17] 凌云, 高军, 孙德胜, 等. 裂缝储层的地震预测技术与应用实例[J]. 石油地球物理勘探, 2015, 50(1): 91-102.
[17] LING Yun, GAO Jun, SUN Desheng, et al. A case study of fractured reservoir prediction[J]. Oil Geophysical Prospecting, 2015, 50(1): 91-102.
[18] 王康宁, 孙赞东, 侯昕晔. 基于傅里叶级数展开的纵波方位各向异性裂缝预测[J]. 石油物探, 2015, 54(6): 755-761.
[18] WANG Kangning, SUN Zandong, HOU Xinye. Fracture prediction by P-wave azimuthal anisotropic based on Fourier series decomposition[J]. Geophysical Prospecting for Petroleum, 2015, 54(6): 755-761.
[19] 陈怀震, 印兴耀, 杜炳毅, 等. 裂缝型碳酸盐岩储层方位各向异性弹性阻抗反演[J]. 地球物理学进展, 2013(6): 3073-3079.
[19] CHEN Huaizhen, YIN Xingyao, DU Bingyi, et al. Azimuth anisotropic elastic impedance inversion in fractured layered carbonate rock reservoir[J]. Progress in Geophysics, 2013(6): 3073-3079.
[20] 张广智, 陈怀震, 印兴耀, 等. 基于各向异性AVO的裂缝弹性参数叠前反演方法[J]. 吉林大学学报(地球科学版), 2012, 42(3): 845-851.
[20] ZHANG Guangzhi, CHEN Huaizhen, YIN Xingyao, et al. Method of fracture elastic parameters inversion based on anisotropic AVO[J]. Journal of Jilin University(Earth Science Edition), 2012, 42(3): 845-851.
[21] 宋维琪, 徐月森, 张云银. 基于傅里叶级数分析的各向异性参数估计及裂缝预测[J]. 石油物探, 2020, 59(1): 108-113.
[21] SONG Weiqi, XU Yuesen, ZHANG Yunyin. Anisotropic parameter estimation and fracture prediction based on Fourier series analysis[J]. Geophysical Prospecting for Petroleum, 2020, 59(1): 108-113.
[22] 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): 955-966.
[22] ZHAN Shifan, CHEN Maoshan, LI Lei, et al. OVT domain wide-azimuth prestack seismic attribute analysis[J]. Oil Geophysical Prospecting, 2015, 50(5): 955-966.
[23] 彭先锋, 邓虎成, 何建华, 等. 鄂尔多斯盆地大牛地气田中奥陶统马家沟组裂缝特征及成因[J]. 石油实验地质, 2022, 44(1): 41-50.
[23] PENG Xianfeng, DENG Hucheng, HE Jianhua, et al. Characteristics and genesis of fractures in Middle Ordovician Majiagou Formation, Daniudi Gas Field, Ordos Basin[J]. Petroleum Geology & Experiment, 2022, 44(1): 41-50.
[24] 孙珂, 徐珂, 陈清华. 低渗透储层构造裂缝长度表征及应用——以四川盆地磨溪—高石梯地区寒武系龙王庙组为例[J]. 石油实验地质, 2022, 44(1): 160-169.
[24] SUN Ke, XU Ke, CHEN Qinghua. Characterization of the length of structural fractures in low permeability reservoirs and its application: A case study of Longwangmiao Formation in Moxi-Gaoshiti areas, Sichuan Basin[J]. Petroleum Geology & Experiment, 2022, 44(1): 160-169.
[25] SAYERS C M, DEAN S. Azimuth-dependent AVO in reservoirs containing non-orthogonal fracture sets[J]. Geophysical Prospecting, 2001, 49(1): 100-106.
[26] 朱兰, 李素华, 余洋, 等. 川西新场地区中三叠统雷口坡组顶部风化壳裂缝分布特征及预测[J]. 石油实验地质, 2022, 44(3): 448-455.
[26] ZHU Lan, LI Suhua, YU Yang, et al. Fracture distribution and prediction of weathering crust reservoirs on the top of Leikoupo Formation, Xinchang area, western Sichuan Basin[J]. Petroleum Geology & Experiment, 2022, 44(3): 448-455.
[27] 何峰, 龙凡, 韩刚, 等. 基于宽方位地震数据的纵、横波速度方位各向异性对比研究[J]. 石油地球物理勘探, 2021, 56(2): 289-294.
[27] HE Feng, LONG Fan, HAN Gang, et al. Comparision of azimuthal anisotropy of P-wave and S-wave velocity based on wide azimuth seismic data[J]. Oil Geophysical Prospecting, 2021, 56(2): 289-294.
[28] 郭惠, 赵红格, 李莹, 等. 鄂尔多斯盆地西部古峰庄地区三叠系延长组长7—长9段裂缝特征及油气意义[J]. 石油实验地质, 2023, 45(1): 109-121.
[28] GUO Hui, ZHAO Hongge, LI Ying, et al. Fracture characteristics and hydrocarbon significance in the Chang 7 to Chang 9 members of Triassic Yanchang Formation of Gufengzhuang area, western Ordos Basin[J]. Petroleum Geology & Experiment, 2023, 45(1): 109-121.
[29] 彭勇民, 董世雄, 边瑞康, 等. 四川盆地东部页岩气水平井裂缝识别方法及应用[J]. 石油实验地质, 2023, 45(6): 1196-1203.
[29] PENG Yongmin, DONG Shixiong, BIAN Ruikang, et al. Method for identification of fractures in shale gas horizontal wells in eastern Sichuan Basin and its application[J]. Petroleum Geology & Experiment, 2023, 45(6): 1196-1203.
[30] 吴海波, 刘钦节, 王进朝, 等. HTI型煤层裂缝参数的地震AVOA响应正演模拟[J]. 煤田地质与勘探, 2023, 51(5): 146-154.
[30] WU Haibo, LIU Qinjie, WANG Jinchao, et al. Forward modeling of amplitude variation with offset and azimuth(AVOA) response for fracture parameters of horizontal transversely isotropic coal seams[J]. Coal Geology & Exploration, 2023, 51(5): 146-154.
[31] 陈秋旭, 曹俊兴, 苏照东, 等. 基于OVT域地震数据的多尺度裂缝预测方法及应用[J]. 地球物理学进展, 2023, 38(3): 1084-1094.
[31] CHEN Qiuxu, CAO Junxing, SU Zhaodong, et al. Multi-scale fracture prediction method based on OVT domain seismic data[J]. Progress in Geophysics, 2023, 38(3): 1084-1094.
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