Application of 3D Far-field Sonic Service in the Identification of Carbonate Reservoir Borehole-side Reflector

doi:10.11885/j.issn.1674-5086.2024.05.22.01

Abstract

Abstract: The carbonate reservoir of Permian Maokou Formation in the Sichuan Basin has strong heterogeneity, and its reservoir space is mainly cracks and holes. It is difficult to evaluate the fractures and caves near the borehole by conventional logging methods due to the limitation of detection depth. The conventional dipole acoustic reflection imaging can evaluate the fractures and caves in the range of several meters to tens of meters around the borehole to a certain extent, but it has the disadvantages of low resolution and 180° ambiguity in azimuth measurement. The 3D Far-field sonic service based on Sonic Scanner can simultaneously record multi-azimuth monopole and dipole wave field data. By combining the processing results of monopole and dipole data, the high-resolution detection results of the borehole-side structure can be obtained and the remote detection depth can be realized at the same time. The true azimuth and dip of the well-side structure can be obtained by using ray tracing and 3D STC technology, which overcomes the limitations of traditional acoustic remote detection technology. This paper introduces the 3D Far-field sonic service technology and the field application case of a horizontal well in Maokou Formation in central Sichuan Basin. The field application results show that the technology can effectively evaluate the fractures and formation interfaces within 60 m near the borehole in the carbonate reservoir of Maokou Formation in central Sichuan Basin, which provides a strong technical guarantee for the increase of reserves and production in Maokou Formation.

Key words: 3D Far-field acoustic reflection imaging, borehole-side geological reflector identification, Maokou Formation, carbonate reservoir, horizontal well

CLC Number:

TE121

ZHAO Ailin, CHENG Lu, TANG Yulin, WU Yuyu, HUANG Hong. Application of 3D Far-field Sonic Service in the Identification of Carbonate Reservoir Borehole-side Reflector[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2025, 47(5): 13-23.

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References

[1] 杨雨,文龙,周刚,等. 四川盆地油气勘探新领域、新类型及资源潜力[J]. 石油学报, 2023, 44(12):2045-2069. doi:10.7623/syxb202312004 YANG Yu, WEN Long, ZHOU Gang, et al. New field, new types and resource potentials of hydrocarbon exploration in Sichuan Basin[J]. Acta Petrolei Sinica, 2023, 44(12):2045-2069. doi:10.7623/syxb202312004
[2] 杨雨,文龙,谢继容,等. 四川盆地海相碳酸盐岩天然气勘探进展与方向[J]. 中国石油勘探, 2020, 25(3):44-55. doi:10.3969/j.issn.1672-7703.2020.03.005 YANG Yu, WEN Long, XIE Jirong, et al. Progress and direction of marine carbonate gas exploration in Sichuan Basin[J]. China Petroleum Exploration, 2020, 25(3):44-55. doi:10.3969/j.issn.1672-7703.2020.03.005
[3] 沈平,张健,宋家荣,等. 四川盆地中二叠统天然气勘探新突破的意义及有利勘探方向[J]. 天然气工业, 2015, 35(7):1-9. doi:10.3787/j.issn.1000-0976.2015.07.001 SHEN Ping, ZHANG Jian, SONG Jiarong, et al. Significance of new breakthrough in and favorable targets of gas exploration in the Middle Permian system, Sichuan Basin[J]. Natural Gas Industry, 2015, 35(7):1-9. doi:10.3787/j.issn.1000-0976.2015.07.001
[4] 罗利,刘航,刘海军,等. XMAC F1反射横波远探测成像技术及其应用[J]. 天然气工业, 2017, 37(6):28-33. doi:10.3787/j.issn.1000-0976.2017.06.004 LUO Li, LIU Hang, LIU Haijun, et al. XMAC-F1 reflected-shear-wave remote detection imaging technology and its application[J]. Natural Gas Industry, 2017, 37(6):28-33. doi:10.3787/j.issn.1000-0976.2017.06.004
[5] 肖承文,王贵清,吴兴能,等. 基于反射波的碳酸盐岩储集层测井评价技术[J]. 天然气工业, 2013, 33(6):1-5. doi:10.3787/j.issn.1000-0976.2013.06.005 XIAO Chengwen, WANG Guiqing, WU Xingneng, et al. Logging evaluation of carbonate reservoirs based on reflected waves[J]. Natural Gas Industry, 2013, 33(6):1-5. doi:10.3787/j.issn.1000-0976.2013.06.005
[6] 任梦怡,王泽成,江青春,等. 川南地区中二叠统茅口组碳酸盐岩储层孔隙特征与储层成因[J]. 东北石油大学学报, 2021, 45(3):32-43. doi:10.3969/j.issn.2095- 4107.2021.03.004 REN Mengyi, WANG Zecheng, JIANG Qingchun, et al. The carbonate reservoir characteristics and pore genesis in the Middle Permian Maokou Formation, southern Sichuan[J]. Journal of Northeast Petroleum University, 2021, 45(3):32-43. doi:10.3969/j.issn.2095-4107.2021.03.004
[7] 唐晓明,魏周拓. 声波测井技术的重要进展偶极——横波远探测测井[J]. 应用声学, 2012, 31(1):10-17. TANG Xiaoming, WEI Zhoutuo. Significant progress of acoustic logging technology:Remote acoustic reflection imaging of a dipole acoustic system[J]. Applied Acoustic, 2012, 31(1):10-17.
[8] 唐晓明,魏周拓,苏远大,等. 偶极横波远探测测井技术进展及其应用[J]. 测井技术, 2013, 37(4):333-340. TANG Xiaoming, WEI Zhoutuo, SU Yuanda, et al. A review on the progress and application of dipole acoustic reflection imaging technology[J]. Well Logging Technology, 2013, 37(4):333-340.
[9] 本建林,车小花,乔文孝,等. 方位反射声波成像测井技术在井旁地质体评价中的应用[J]. 测井技术, 2021, 45(1):23-29. doi:10.16489/j.issn.1004-1338.2021.01.004 BEN Jianlin, CHE Xiaohua, QIAO Wenxiao, et al. Application of near-borehole geologic reflector evaluation using azimuthal acoustic reflection imaging logging[J]. Well Logging Technology, 2021, 45(1):23-29. doi:10.16489/j.issn.1004-1338.2021.01.004
[10] 孙小芳,刘峰,张聪慧,等. 慢速地层偶极声波远探测井眼成像发射频率优选[J]. 石油钻探技术, 2023, 51(1):98-105. doi:10.11911/syztjs.2023017 SUN Xiaofang, LIU Feng, ZHANG Conghui, et al. Transmission frequency optimization of borehole imaging for dipole acoustic remote detection of slow formations[J]. Petroleum Drilling Techniques, 2023, 51(1):98-105. doi:10.11911/syztjs.2023017
[11] 陈鸣,孙殿强,谢献辉,等. 随钻声波测井技术进展及展望[J]. 世界石油工业, 2023, 30(3):32-41. doi:10.20114/j.issn.1006-0030.20230530002 CHEN Ming, SUN Dianqiang, XIE Xianhui, et al. Progress and prospect of acoustic logging while drilling technologies[J]. World Petroleum Industry, 2023, 30(3):32-41. doi:10.20114/j.issn.1006-0030.20230530002
[12] 曲博文,谭宝海,张凯,等. 自适应声波测井换能器激励电路设计[J]. 石油钻探技术, 2024, 52(6):141-147. doi:10.11911/syztjs.2024077 QU Bowen, TAN Baohai, ZHANG Kai, et al. Design of excitation circuit for adaptive acoustic logging transducer[J]. Petroleum Drilling Techniques, 2024, 52(6):141-147. doi:10.11911/syztjs.2024077
[13] LI Dan, QIAO Wenxiao, CHE Xiaohua, et al. Eliminating the azimuth ambiguity in reflected S-wave imaging logging based on the azimuthal receiver mode[J]. Journal of Petroleum Science and Engineering, 2021, 199:108295. doi:10.1016/j.petrol.2020.108295
[14] CHENG Lu, QIAO Wenxiao, CHE Xiaohua, et al. A 3-D plane-wave beamforming method for borehole azimuthal acoustic reflection imaging[J]. Geophysical Journal International, 2022, 23(3):1652-1661. doi:10.10- 93/gji/ggac149
[15] CHENG Lu, CHE Xiaohua, QIAO Wenxiao, et al. 3D trajectory inversion of an adjacent well using scattered Pwave[J]. Petroleum Science, 2023, 20(2):857-865. doi:10.1016/j.petsci.2023.02.024
[16] 夏小勇,王跃祥,谢冰,等. 阵列声波测井在致密砂岩气藏含气性评价中的应用[J]. 天然气勘探与开发, 2024, 47(3):77-84. doi:10.12055/gaskk.issn.1673- 3177.2024.03.009 XIA Xiaoyong, WANG Yuexiang, XIE Bing, et al. Array acoustic logging to evaluate gas-bearing property in tight sandstone gas reservoirs[J]. Natural Gas Exploration and Development, 2024, 47(3):77-84. doi:10.12055/gaskk.issn.1673-3177.2024.03.009
[17] RAJEEV K, NICHOLAS B, ADAM D, et al. 3D borehole sonic imaging for input to structural modeling A quantitative approach[C]. SPE 194810-MS, 2019. doi:10.2118/194810-MS
[18] SAMHITA H, HEMLATA C, ARNAB G, et al. Identifying producing horizons in fractured reservoirs a far field acoustic approach[C]. SPE 204614-MS, 2021. doi:10.2118/204614-MS
[19] CUI Ziyue, XI Shengli, MA Zhanrong, et al. Understand the unconventional reservoir heterogeneity via farfield sonic imaging and chemical tracer evaluations:A case study from Wulalike Shale Gas exploration in Ordos Basin[C]. SPE 210621-MS, 2022. doi:10.2118/210621-MS
[20] ALI A, MOHAMED A N, MOAHMMED A, et al. Unlocking fracture characterization ambiguity a multi disciplinary integrated approach[C]. SPE 213771-MS, 2023. doi:10.2118/213771-MS
[21] NICHOLAS N B. 3D slowness time coherence for sonic imaging[J]. Geophysics, 2022, 84(5):179-189. doi:10.1190/geo2018-0077.1c02504