Abstract:A set of key techniques of seismic exploration is proposed for the identification of deep carbonate fracture-cavity bodies and small faults in the Yingxiongling structural belt of the Qaidam Basin. First of all, from the aspect of data acquisition, the imaging accuracy of small faults can be improved by expanding the observation orientation, using a small combination of excitation and reception, and adopting an even arrangement of source and receiver points. From the aspect of seismic data processing, OVT domain multi-dimensional fidelity noise suppression technology and thick surface Q compensation processing technology can be used to improve the signal-to-noise ratio and fidelity and effectively increase the bandwidth and resolution of seismic data. From the aspect of seismic data interpretation, the sub-azimuth data volume and artificial intelligent fault identification technology can be used to identify small faults effectively,and the anisotropic strength attribute can be used to identify the fracture-cavity body effectively.The techniques can be used for reference in other similar areas.
付锁堂. 柴达木盆地油气勘探潜在领域[J]. 中国石油勘探, 2016, 21(5):1-10.FU Suotang. Potential oil and gas exploration areas in Qaidam Basin[J].China Petroleum Exploration, 2016, 21(5):1-10.
[2]
付锁堂, 关平, 张道伟. 柴达木盆地近期勘探工作思考[J]. 天然气地球科学, 2012, 23(5):813-819.FU Suotang, GUAN Ping, ZHANG Daowei. Consideration about recent oil and gas exploration of Qaidam basin[J]. Natural Gas Geoscience, 2012, 23(5):813-819.
[3]
张斌, 何媛媛, 陈琰, 等. 柴达木盆地西部咸化湖相优质烃源岩形成机理[J]. 石油学报, 2018, 39(6):674-685.ZHANG Bin, HE Yuanyuan, CHEN Yan, et al. Formation mechanism of excellent saline lacustrine source rocks in western Qaidam Basin[J]. Acta Petrolei Sinica, 2018, 39(6):674-685.
[4]
王艳清, 刘占国, 杨少勇, 等. 柴达木盆地英雄岭构造带新近系碎屑岩发育特征及油气勘探方向[J]. 中国石油勘探, 2019, 24(1):60-71.WANG Yanqing, LIU Zhanguo, YANG Shaoyong, et al. Development characteristics and exploration targets of Neogene clastic rocks in the Yingxiongling structural belt, Qaidam Basin[J]. China Petroleum Exploration, 2019, 24(1):60-71.
[5]
张庆辉,高发润,谭武林,等. 柴达木盆地英西地区水平井体积改造及缝网预测技术研究[J]. 石油物探,2022,61(6):1043-1052, 1089.ZHANG Qinghui, GAO Farun, TAN Wulin, et al. Horizontal well volume reconstruction and fracture pattern prediction technology in the Yingxi area of Qaidam Basin[J].Geophysical Prospecting for Petroleum, 2022, 61(6):1043-1052, 1089.
[6]
段天柱. 沁水盆地黄土塬区三维地震勘探激发层位试验研究[J]. 地质与资源, 2019, 28(3):309-314.DUAN Tianzhu. Experimental study on excitation horizon of 3D seismic exploration in the loess table area of Qinshui Basin[J]. Geology and Resources, 2019, 28(3):309-314.
[7]
王传武, 吴永国, 王永生, 等. 柴达木盆地双复杂地震勘探技术及亿吨规模储量油气田发现中的应用[J]. 中国科技成果, 2020, 21(13):35-37.WANG Chuanwu, WU Yongguo, WANG Yongsheng, et al. Application of dual complex seismic exploration technology and discovery of oil and gas fields with reserves of 100 million tons in the Qaidam Basin[J]. China Science and Technology Achievements, 2020, 21(13):35-37.
[8]
李旭航, 王波, 张军勇, 等. 柴达木盆地新生界塑性层地震地质特征及意义[J]. 石油地球物理勘探, 2022, 57(增刊1):243-248.LI Xuhang, WANG Bo, ZHANG Junyong, et al. Seismogeological characteristics and significance of Cenozoic plastic beds in Qaidam Basin[J]. Oil Geophysical Prospecting, 2022, 57(S1):243-248.
[9]
李国欣, 朱如凯, 张永庶, 等. 柴达木盆地英雄岭页岩油地质特征、评价标准及发现意义[J].石油勘探与开发, 2022, 49(1):18-31.LI Guoxin, ZHU Rukai, ZHANG Yongshu, et al. Geological characteristics, evaluation criteria and discovery significance of Yingxiongling shale oil in Qaidam Basin[J]. Petroleum Exploration and Development, 2022, 49(1):18-31.
[10]
伍坤宇,廖春,李翔, 等. 柴达木盆地英雄岭构造带油气藏地质特征[J]. 现代地质, 2020, 34(2):378-389.WU Kunyu, LIAO Chun, LI Xiang, et al. Geological characteristics of hydrocarbon pool in Yingxiongling structural zone, Qaidam Basin[J]. Geoscience, 2020, 34(2):378-389.
[11]
王小垚,曾联波,魏荷花,等.碳酸盐岩储层缝洞储集体研究进展[J].地球科学进展,2018,33(8):818-832.WANG Xiaoyao, ZENG Lianbo, WEI Hehua, et al. Research progress of the fractured-vuggy reservoir zones in carbonate reservoir[J]. Advances in Earth Science,2018,33(8):818-832.
[12]
冯凯, 和冠慧, 尹成, 等. 宽方位三维观测系统的发展现状与趋势[J]. 西南石油学院学报, 2006, 28(6):24-28.FENG Kai, HE Guanhui, YIN Cheng, et al. Present situation and prospect of wide-azimuth 3D inspection system[J]. Journal of Southwest Petroleum Institute, 2006, 28(6):24-28.
[13]
凌云研究小组. 宽方位角地震勘探应用研究[J]. 石油地球物理勘探, 2003, 38(4):350-357.LINGYUN Research Group. Application and study on wide-azimuth seismic exploration[J]. Oil Geophysical Prospecting, 2003, 38(4):350-357.
[14]
罗仁泽, 黄元溢, 曾俊峰, 等. 宽线大组合地震接收原理及实践[J].天然气技术与经济,2011,5(1):21-23.LUO Renze, HUANG Yuanyi, ZENG Junfeng, et al. Principles and practices of seismic receiving of wideline and large array[J]. Natural Gas Technology and Economy, 2011, 5(1):21-23.
[15]
王珂. 检波器组合对高分辨率地震勘探的影响[J]. 中国煤炭地质, 2010, 22(7):61-65.WANG Ke. Geophone array's impact on HR seismic prospecting[J]. Coal Geology of China, 2010,22(7):61-65.
[16]
杨贵祥,杨振升,仲伯军.单点单分量高密度地震采集技术及应用[J].油气藏评价与开发,2011,1(3):12-18.YANG Guixiang,YANG Zhensheng,ZHONG Bo jun. Single-point and single-component high density seismic acquisition technology and its application[J].Reservoir Evaluation and Development,2011,1(3):12-18.
[17]
熊金良, 狄帮让, 岳英, 等. 基于地震物理模拟的采集脚印分析[J]. 石油地球物理勘探, 2006, 41(5):493-497.XIONG Jinliang, DI Bangrang,YUE Ying, et al. Analysis of acquisition footprints based on seismic physical simulation[J]. Oil Geophysical Prospecting, 2006, 41(5):493-497.
[18]
刘梦月. 阳泉矿区宽方位三维地震资料处理关键技术及应用研究[D]. 江苏徐州:中国矿业大学, 2022.LIU Mengyue. Key Techniques and Application of Wide-azimuth 3D Seismic Data Processing in Yangquan Kuangqu[D]. China University of Mining and Technology, Xuzhou,Jiangsu,2022.
陈超群, 戴海涛, 高秦,等. 复杂地表条件下地震资料一致性处理方法研究与应用[J].物探与化探, 2023, 47(4):954-964.CHEN Chaoqun, DAI Haitao, GAO Qin, et al. A processing method for seismic data consistency under complex surface conditions and its applications[J]. Geophysical and Geochemical Exploration, 2023, 47(4):954-964.
[21]
邓光校, 马永强, 谢玮. 碳酸盐岩小缝洞群储集体地震表征方法[J]. 科学技术与工程, 2022, 22(8):3038-3042.DENG Guangxiao, MA Yongqiang, XIE Wei. Seismic attribute detection method for small scale fracture-cave of carbonate reservoir[J]. Science, Technology and Engineering, 2022, 22(8):3038-3042.
[22]
杨丽娜, 许胜利, 魏莉, 等. 碳酸盐岩储层裂缝智能预测技术及其应用[J]. 大庆石油地质与开发, 2023, 42(4):131-138.YANG Lina, XU Shengli, WEI Li, et al. Intelligent prediction technique and its application for carbonate reservoir fractures[J]. Petroleum Geology & Oilfield Development in Daqing, 2023, 42(4):131-138.
[23]
王玲玲, 魏建新, 黄平,等. 依托物理模型的叠后裂缝敏感地震属性优选与应用[J].石油地球物理勘探, 2019, 54(1):127-136.WANG Lingling, WEI Jianxin, HUANG Ping,et al. Fracture-sensitive poststack seismic attribute optimization based on the physical model[J]. Oil Geophysical Prospecting, 2019,54(1):127-136.
[24]
刘乃豪, 李时桢, 黄腾, 等. 改进的整体嵌套边缘检测地震断层识别技术[J]. 石油地球物理勘探, 2022, 57(3):499-509.LIU Naihao, LI Shizhen, HUANG Teng, et al. Seismic fault interpretation based on improved holistically-nested edge detection[J].Oil Geophysical Prospecting, 2022, 57(3):499-509.