Optimization and application of discontinuity detection in multi-frequency domain in ant-tracking
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摘要: 蚂蚁体追踪技术在地震解释中展现了对断裂刻画的优越性，但在使用过程中，存在地震资料质量的限制、输入数据的选择、单一属性的多解性等问题，提高蚂蚁体预测精度一直是业界研究的难点与热点。本文以塔里木盆地顺北地区顺1井区为研究对象，分析混沌、方差、最大正曲率属性的本质差异与断裂检测能力；基于广义S变换频谱分解，逐一比较3种属性在不同频率下的不连续性检测效果，并进行蚂蚁追踪与优选；结合产状控制进行RGB融合，形成了一套多频率域、多属性的蚂蚁体追踪解释断裂方法。研究表明，低频混沌属性适用于大断层的解释，中频方差属性可识别中等尺度断裂，高频曲率属性对小尺度断裂反映较好；结合分频与不连续性检测技术的蚂蚁体能多尺度显示工区断裂展布特征与细节，充实地下地质信息。Abstract: The application of ant-tracking in seismic interpretation shows its advantages in fault characterization.However, this technology is limited by the quality of seismic data, the selection of ant-tracking input data, and multi-solution caused by single attribute.Thus, how to improve the accuracy of ant-tracking has been the hot issue and hard nut to crack in the industry.This paper takes well-block 1 in Shunbei area of Tarim Basin as the research object, and analyses the differences and application potential of chaos, variance, and the maximum positive curvature theories in fault detection.Besides, based on generalized S transform spectral decomposition, we compare discontinuity detection effects of chaos, variance and the maximum positive curvature attributes in different frequencies.Next, the data is processed after discontinuity detection with ant-tracking and optimize the best date for each frequency.Finally, RGB fusion is carried out after occurrence control.Results show that chaos in low frequency, variance in medium frequency and the maximum positive curvature in high frequency respond well with big, medium and small faults.The ant-tracking aided with multi-frequency domain and different fault detections can display multi-scale fracture distribution and enrich the underground geological information.
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图 1 多频率域不连续性检测蚂蚁体的技术流程
Figure 1. Work flow of ant-tracking technology with discontinuity detection in multi-frequency domain
图 3 3种不连续检测在不同频率域沿层切片
Figure 3. Horizontal slices of three different discontinuity detections in multi-frequency domain
图 4 3种不连续检测在不同频率域的蚂蚁体沿层切片
Figure 4. Horizontal slices of ant-tracking from three discontinuous attributes and frequencies
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[1] 姜振学, 庞雄奇, 曾溅辉, 等. 油气优势运移通道的类型及其物理模拟实验研究[J]. 地学前缘, 2005, 12(4): 507-516. https://www.cnki.com.cn/Article/CJFDTOTAL-DXQY200504026.htmJiang Zhenxue, Pang Xiongqi, Zeng Jianhui, et al. Research on types of the dominant migration pathways and their physical simulation experiments[J]. Earth Science Frontiers, 2005, 12(4): 507-516. https://www.cnki.com.cn/Article/CJFDTOTAL-DXQY200504026.htm [2] 赵光杰, 李贤庆, 刘满仓, 等. 库车坳陷北部构造带断裂活动及油气成藏意义[J]. 矿业科学学报, 2022, 7(1): 34-44. doi: 10.19606/j.cnki.jmst.2022.01.004Zhao Guangjie, Li Xianqing, Liu Mancang, et al. Fault activity and hydrocarbon accumulation significance of structural belt in northern Kuqa Depression[J]. Journal of Mining Science and Technology, 2022, 7(1): 34-44. doi: 10.19606/j.cnki.jmst.2022.01.004 [3] 罗群, 王井伶, 罗家国, 等. "非常规油气缝-孔耦合富烃假说"概述[J]. 岩性油气藏, 2019, 31(4): 1-12. https://www.cnki.com.cn/Article/CJFDTOTAL-YANX201904001.htmLuo Qun, Wang Jingling, Luo Jiaguo, et al. Hypothesis outline of fracture-pore coupling enriching hydrocarbon on unconventional oil and gas[J]. Lithologic Reservoirs, 2019, 31(4): 1-12. https://www.cnki.com.cn/Article/CJFDTOTAL-YANX201904001.htm [4] 赵岳, 王延斌, 钟大康, 等. 致密砂岩储集层成岩演化与致密油充注成藏关系研究: 以鄂尔多斯盆地延长组为例[J]. 矿业科学学报, 2018, 3(2): 106-118. http://kykxxb.cumtb.edu.cn/article/id/128Zhao Yue, Wang Yanbin, Zhong Dakang, et al. Study on the relationship between tight sandstone reservoir diagenetic evolution and hydrocarbon reservoirs filling: a case from the Yanchang Formation, Ordos Basin[J]. Journal of Mining Science and Technology, 2018, 3(2): 106-118. http://kykxxb.cumtb.edu.cn/article/id/128 [5] 高金栋, 周立发, 冯乔, 等. 储层构造裂缝识别及预测研究进展[J]. 地质科技情报, 2018, 37(4): 158-166. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201804022.htmGao Jindong, Zhou Lifa, Feng Qiao, et al. Progress in reservoir structural fracture characterization and prediction[J]. Geological Science and Technology Information, 2018, 37(4): 158-166. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201804022.htm [6] Dorigo M, Maniezzo V, Colorni A. Ant system: optimization by a colony of cooperating agents[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 1996, 26(1): 29-41. doi: 10.1109/3477.484436 [7] 李宏伟, 白雪莲, 崔京彬, 等. 蚂蚁属性优化断层识别技术[J]. 煤田地质与勘探, 2019, 47(6): 174-179. https://www.cnki.com.cn/Article/CJFDTOTAL-MDKT201906026.htmLi Hongwei, Bai Xuelian, Cui Jingbin, et al. Fault identification technology of ant attribute optimization[J]. Coal Geology & Exploration, 2019, 47(6): 174-179. https://www.cnki.com.cn/Article/CJFDTOTAL-MDKT201906026.htm [8] 袁晓宇, 李映涛, 叶宁, 等. 基于频谱分解的蚂蚁追踪裂缝检测技术在玉北地区的应用研究[J]. 石油地球物理勘探, 2015, 50(4): 665-671, 4. https://www.cnki.com.cn/Article/CJFDTOTAL-SYDQ201504013.htmYuan Xiaoyu, Li Yingtao, Ye Ning, et al. The application of ant-tracking fracture detection based on spectrum decomposition in Yubei area[J]. Oil Geophysical Prospecting, 2015, 50(4): 665-671, 4. https://www.cnki.com.cn/Article/CJFDTOTAL-SYDQ201504013.htm [9] 陈珂磷, 井翠, 杨扬, 等. 频率域多尺度断裂检测技术在长宁页岩气勘探中的应用[J]. 断块油气田, 2022, 29(3): 289-294. https://www.cnki.com.cn/Article/CJFDTOTAL-DKYT202203001.htmChen Kelin, Jing Cui, Yang Yang, et al. Application of frequency domain multi-scale fault detection technique in shale gas exploration in Changning region[J]. Fault-Block Oil & Gas Field, 2022, 29(3): 289-294. https://www.cnki.com.cn/Article/CJFDTOTAL-DKYT202203001.htm [10] Acua-Uribe M, Pico-Forero M C, Goyes-Peafiel P, et al. Enhanced ant tracking: Using a multispectral seismic attribute workflow to improve 3D fault detection[J]. Leading Edge, 2021(7): 40. [11] 谢清惠, 蒋立伟, 赵春段, 等. 提高蚂蚁追踪裂缝预测精度的应用研究[J]. 物探与化探, 2021, 45(5): 1295-1302. https://www.cnki.com.cn/Article/CJFDTOTAL-WTYH202105024.htmXie Qinghui, Jiang Liwei, Zhao Chunduan, et al. Application study of improving the precision of the ant-tracking-based fracture prediction technique[J]. Geophysical and Geochemical Exploration, 2021, 45(5): 1295-1302. https://www.cnki.com.cn/Article/CJFDTOTAL-WTYH202105024.htm [12] Basir H M, Javaherian A, Yaraki M T. Multi-attribute ant-tracking and neural network for fault detection: a case study of an Iranian oilfield[J]. Journal of Geophysics and Engineering, 2013, 10(1): 015009. doi: 10.1088/1742-2132/10/1/015009 [13] Kim M, Yu J, Kang N K, et al. Improved workflow for fault detection and extraction using seismic attributes and orientation clustering[J]. Applied Sciences, 2021, 11(18): 8734. doi: 10.3390/app11188734 [14] 卢美月, 汤子余, 张永健. 蚂蚁追踪技术在Plutonio油田X区块中的应用[J]. 科学技术与工程, 2020, 20(8): 2992-2996. https://www.cnki.com.cn/Article/CJFDTOTAL-KXJS202008007.htmLu Meiyue, Tang Ziyu, Zhang Yongjian. Application of ant tracking technology in X block of plutonio oilfield[J]. Science Technology and Engineering, 2020, 20(8): 2992-2996. https://www.cnki.com.cn/Article/CJFDTOTAL-KXJS202008007.htm [15] 张介辉, 谢清惠, 张东涛, 等. 优化的蚂蚁追踪技术在四川盆地Y1井区的应用研究[J]. 石油物探, 2020, 59(6): 970-977. doi: 10.3969/j.issn.1000-1441.2020.06.015Zhang Jiehui, Xie Qinghui, Zhang Dongtao, et al. Application of an optimized ant-tracking workflow in shale-gas Y1 area of Sichuan[J]. Geophysical Prospecting for Petroleum, 2020, 59(6): 970-977. doi: 10.3969/j.issn.1000-1441.2020.06.015 [16] 张瑞, 文晓涛, 李世凯, 等. 分频蚂蚁追踪在识别深层小断层中的应用[J]. 地球物理学进展, 2017, 32(1): 350-356. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201701050.htmZhang Rui, Wen Xiaotao, Li Shikai, et al. Application of frequency division ant-tracking in identifying deep minor fault[J]. Progress in Geophysics, 2017, 32(1): 350-356. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201701050.htm [17] 梁志强. 不同尺度裂缝的叠后地震预测技术研究[J]. 石油物探, 2019, 58(5): 766-772. https://www.cnki.com.cn/Article/CJFDTOTAL-SYWT201905017.htmLiang Zhiqiang. Poststack seismic prediction techniques for fractures of different scales[J]. Geophysical Prospecting for Petroleum, 2019, 58(5): 766-772. https://www.cnki.com.cn/Article/CJFDTOTAL-SYWT201905017.htm [18] 戴世鑫, 胡盼, 董艳娇, 等. 南方典型煤田不同埋深小断层识别规律研究[J]. 矿业科学学报, 2022, 7(1): 123-133. doi: 10.19606/j.cnki.jmst.2022.01.012Dai Shixin, Hu Pan, Dong Yanjiao, et al. Patterns of small fault with different placing depth in typical coal fields in Southern China[J]. Journal of Mining Science and Technology, 2022, 7(1): 123-133. doi: 10.19606/j.cnki.jmst.2022.01.012 [19] Morlet J, Arens G, Fourgeau E, et al. Wave propagation and sampling theory-part Ⅱ: sampling theory and complex waves[J]. Geophysics, 1982, 47(2): 222-236. doi: 10.1190/1.1441329 [20] Partyka G, Gridley J, Lopez J. Interpretational applications of spectral decomposition in reservoir characterization[J]. The Leading Edge, 1999, 18(3): 353-360. doi: 10.1190/1.1438295 [21] 徐增光. 地震信号的时频分析方法研究及实际应用[D]. 北京: 中国石油大学(北京), 2019. [22] 师素珍, 谷剑英, 郭家成, 等. 顾桂矿区活断层三维地震解释及其发育特征研究[J]. 矿业科学学报, 2019, 4(4): 292-298. http://kykxxb.cumtb.edu.cn/article/id/226Shi Suzhen, Gu Jianying, Guo Jiacheng, et al. Study on 3D seismic interpretation and development characteristics of active faults in Gugui mining area[J]. Journal of Mining Science and Technology, 2019, 4(4): 292-298. http://kykxxb.cumtb.edu.cn/article/id/226 [23] Crawford M F, Medwedeff D A. Automated extraction of fault surfaces from 3-D seismic prospecting data: US5987388[P]. 1999-11-16. [24] Randen T, Monsen E, Signer C, et al. Three-dimensional texture attributes for seismic data analysis[C]//SEG Technical Program Expanded Abstracts 2000. Society of Exploration Geophysicists, 2000: 668-671. [25] 林建东, 王磊. 煤田三维地震资料解释中的方差体技术[J]. 中国煤田地质, 2000, 12(4): 57-59. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGMT200004017.htmLin Jiandong, Wang Lei. Variance volume technique in coal field three-dimensional seismic data interpretation[J]. Coal Geology of China, 2000, 12(4): 57-59. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGMT200004017.htm [26] 李冬, 师素珍. 基于地震属性的煤层裂隙发育带识别方法[J]. 矿业科学学报, 2017, 2(5): 425-431. http://kykxxb.cumtb.edu.cn/article/id/92Li Dong, Shi Suzhen. The identification methods of coal seam fracture based on seismic attributes[J]. Journal of Mining Science and Technology, 2017, 2(5): 425-431. http://kykxxb.cumtb.edu.cn/article/id/92 [27] Murray G H Jr. Quantitative fracture study: sanish pool, McKenzie County, north Dakota[J]. AAPG Bulletin, 1968, 52(1): 57-65. [28] Roberts A. Curvature attributes and their application to 3D interpreted horizons[J]. First Break, 2001, 19(2): 85-100. doi: 10.1046/j.0263-5046.2001.00142.x [29] Al-Dossary S, Marfurt K J. 3D volumetric multispectral estimates of reflector curvature and rotation[J]. Geophysics, 2006, 71(5): 41-51. doi: 10.1190/1.2242449 [30] 李丛, 张栋, 朱德胜, 等. 基于宽方位三维地震数据的裂缝检测技术研究及应用[J]. 地球物理学进展, 2022, 37(3): 1041-1046. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ202203012.htmLi Cong, Zhang Dong, Zhu Desheng, et al. Research and application of crack detection technology based on wide-azimuth 3D seismic data[J]. Progress in Geophysics, 2022, 37(3): 1041-1046. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ202203012.htm [31] 徐德奎, 王玉英, 郑江峰. 倾角导向的相干加强技术在改善复杂断块地震资料中的应用[J]. 地球物理学进展, 2016, 31(3): 1224-1228. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201603039.htmXu Dekui, Wang Yuying, Zheng Jiangfeng. Dip steering coherent-enhancing filtering and its application on seismic data of complex fault-block[J]. Progress in Geophysics, 2016, 31(3): 1224-1228. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201603039.htm [32] 张璐, 何峰, 陈晓智, 等. 基于倾角导向滤波控制的似然属性方法在断裂识别中的定量表征[J]. 岩性油气藏, 2020, 32(2): 108-114. https://www.cnki.com.cn/Article/CJFDTOTAL-YANX202002011.htmZhang Lu, He Feng, Chen Xiaozhi, et al. Quantitative characterization of fault identification using likelihood attribute based on dip-steering filter control[J]. Lithologic Reservoirs, 2020, 32(2): 108-114. https://www.cnki.com.cn/Article/CJFDTOTAL-YANX202002011.htm [33] 王素英, 张翔, 田景春, 等. 塔里木盆地顺北地区柯坪塔格组沉积演化及沉积分异模式[J]. 岩性油气藏, 2021, 33(5): 81-94. https://www.cnki.com.cn/Article/CJFDTOTAL-YANX202105008.htmWang Suying, Zhang Xiang, Tian Jingchun, et al. Sedimentary evolution and sedimentary differentiation model of Kepingtage Formation in Shunbei area, Tarim Basin[J]. Lithologic Reservoirs, 2021, 33(5): 81-94. https://www.cnki.com.cn/Article/CJFDTOTAL-YANX202105008.htm [34] 李飞跃, 杨海长, 纪沫, 等. 分频倾角相干融合技术在琼东南盆地深水区断裂解释中的应用[J]. 石油物探, 2020, 59(6): 918-926. https://www.cnki.com.cn/Article/CJFDTOTAL-SYWT202006010.htmLi Feiyue, Yang Haichang, Ji Mo, et al. Application of a frequency-divided dip coherency fusion for the fracture interpretation in the deep waters of the Qiongdongnan Basin[J]. Geophysical Prospecting for Petroleum, 2020, 59(6): 918-926. https://www.cnki.com.cn/Article/CJFDTOTAL-SYWT202006010.htm [35] 张璐. 地震分频多属性融合法在小断层解释中的应用[J]. 特种油气藏, 2017, 24(6): 44-47, 147. https://www.cnki.com.cn/Article/CJFDTOTAL-TZCZ201706009.htmZhang Lu. Application of seismic frequency-divided multiattribute fusion method to small faults interpretation[J]. Special Oil & Gas Reservoirs, 2017, 24(6): 44-47, 147. https://www.cnki.com.cn/Article/CJFDTOTAL-TZCZ201706009.htm [36] 马艺璇, 李慧莉, 刘坤岩, 等. 基于分频相干体的蚂蚁追踪技术在塔河油田断裂刻画中的应用[J]. 石油物探, 2020, 59(2): 258-266. https://www.cnki.com.cn/Article/CJFDTOTAL-SYWT202002013.htmMa Yixuan, Li Huili, Liu Kunyan, et al. Application of an ant-tracking technique based on spectral decomposition to fault characterization[J]. Geophysical Prospecting for Petroleum, 2020, 59(2): 258-266. https://www.cnki.com.cn/Article/CJFDTOTAL-SYWT202002013.htm [37] 云露. 顺北东部北东向走滑断裂体系控储控藏作用与突破意义[J]. 中国石油勘探, 2021, 26(3): 41-52. https://www.cnki.com.cn/Article/CJFDTOTAL-KTSY202103004.htmYun Lu. Controlling effect of NE strike-slip fault system on reservoir development and hydrocarbon accumulation in the eastern Shunbei area and its geological significance, Tarim Basin[J]. China Petroleum Exploration, 2021, 26(3): 41-52. https://www.cnki.com.cn/Article/CJFDTOTAL-KTSY202103004.htm [38] 李婷婷, 王钊, 马世忠, 等. 地震属性融合方法综述[J]. 地球物理学进展, 2015, 30(1): 378-385. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201501055.htmLi Tingting, Wang Zhao, Ma Shizhong, et al. Summary of seismic attributes fusion method[J]. Progress in Geophysics, 2015, 30(1): 378-385. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201501055.htm -
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