Application of Multi-Attribute Constrained Prestack Wide-Azimuth Fracture Prediction in Yingmai-2 Area

doi:10.7657/XJPG20240413

Abstract

Abstract:

The Yingmai-2 area is situated on the Yingmai-2 structure in the southern part of the Yingmaili low bulge of the Tabei uplift, Tarim basin. Affected by tectonic movements and magmatic intrusion, a large number of directionally-aligned high-angle fractures were developed on the structure. The reservoirs are mainly fractured. Due to the deep burial depth and strong heterogeneity of the reservoirs in the Yingmai-2 area, predicting these fractured reservoirs using post-stack fracture prediction techniques like coherence, curvature, and ant-tracking proves challenging. Based on the pre-stack wide-azimuth offset vector tile (OVT) domain gather data from the Yingmai-2 area, well-controlled optimization processing of pre-stack OVT domain gather was implemented by employing techniques such as pre-stack denoising and anisotropy time difference correction to yield high-quality pre-stack wide-azimuth gather data. Subsequently, pre-stack facies-controlled fracture prediction was conducted under the constraints of post-stack multiple attributes that can represent fractured-vuggy reservoirs, including gradient structure tensor, amplitude curvature, and residual wave impedance. This methodology can effectively predict fractures in ultra-deep fractured-vuggy carbonate reservoirs, and offer valuable insights for the exploration and development of fractured reservoirs in the Tarim basin.

Key words: Tarim basin, Yingmai-2 area, fracture prediction, fractured-vuggy reservoir, multi-attribute constraint, wide-azimuth seismic, OVT domain

CLC Number:

TE122

ZENG Yongjian, GAO Hongliang, GUAN Baozhu, AI Mingbo, CAI Quan, LI Fei, WANG Zhangheng. Application of Multi-Attribute Constrained Prestack Wide-Azimuth Fracture Prediction in Yingmai-2 Area[J]. Xinjiang Petroleum Geology, 2024, 45(4): 483-488.

Figures/Tables 8

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References 27

[1]	何国政. 英买2地区断裂对奥陶系碳酸盐岩油气成藏控制作用研究[D]. 北京: 中国石油大学(北京), 2017.
	HE Guozheng. Study on controlling effects of faults on Ordovician carbonate hydrocarbon accumulation in the YM2 area[D]. Beijing: China University of Petroleum(Beijing), 2017.
[2]	裴广平. 英买力地区英买2区块一间房组缝洞储层预测[D]. 山东青岛: 中国石油大学(华东), 2017.
	PEI Guangping. The fracture and cave reservoir prediction in Yijianfang formation of Yingmai2 block,Yingmaili area[D]. Qingdao, Shandong: China University of Petroleum(East China), 2017.
[3]	陈思明, 侯明才, 房启飞, 等. 塔北隆起英买2地区奥陶系油气成藏特征及富集规律[J]. 岩性油气藏, 2015, 27(6):64-71.
	CHEN Siming, HOU Mingcai, FANG Qifei, et al. Hydrocarbon accumulation and enrichment rule of Ordovician in Yingmai-2 area,northern uplift of Tarim basin[J]. Lithologic Reservoirs, 2015, 27(6):64-71.
[4]	SCHOENBERG M, SAYERS C M. Seismic anisotropy of fractured rock[J]. Geophysics, 1995, 60(1):204-211.
[5]	RÜGER A. Variation of P-wave reflectivity with offset and azimuth in anisotropic media[J]. Geophysics, 1998, 63(3):935-947.
[6]	GRAY D, ROBERTS G, HEAD K. Recent advances in determination of fracture strike and crack density from P-wave seismic data[J]. The Leading Edge, 2002, 21(3):280-285.
[7]	向阳臣. 叠前地质统计学反演在松辽盆地徐家围子断陷X区块火山岩储层预测中的应用[J]. 大庆石油地质与开发, 2022, 41(1):141-147.
	XIANG Yangchen. Application of prestack geostatistical inversion in volcanic reservoir prediction of Block X in Xujiaweizi rift in Songliao basin[J]. Petroleum Geology & Oilfield Development in Daqing, 2022, 41(1):141-147.
[8]	BACHRACH R, SENGUPTA M, SALAMA A, et al. Reconstruction of the layer anisotropic elastic parameters and high-resolution fracture characterization from P-wave data:A case study using seismic inversion and Bayesian rock physics parameter estimation[J]. Geophysical Prospecting, 2009,57:253-262.
[9]	党青宁, 崔永福, 陈猛, 等. OVT域叠前裂缝预测技术:以塔里木盆地塔中ZG地区奥陶系碳酸盐岩为例[J]. 物探与化探, 2016, 40(2):398-404.
	DANG Qingning, CUI Yongfu, CHEN Meng, et al. Fracture detection with prestack seismic data in OVT domain:A case study of the Ordovician carbonate reservoir in ZG area of Tazhong district in Tarim basin[J]. Geophysical and Geochemical Exploration, 2016, 40(2):398-404.
[10]	夏亚良, 魏小东, 王中凡, 等. OVT域方位各向异性技术在中非花岗岩裂缝预测中的应用研究[J]. 石油物探, 2018, 57(1):140-147. doi: 10.3969/j.issn.1000-1441.2018.01.018
	XIA Yaliang, WEI Xiaodong, WANG Zhongfan, et al. Application of azimuthally anisotropy by OVT gather for granite fracture prediction in central Africa[J]. Geophysical Prospecting for Petroleum, 2018, 57(1):140-147. doi: 10.3969/j.issn.1000-1441.2018.01.018
[11]	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.
	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.
[12]	吴梅莲, 柴雄, 周碧辉, 等. 缝洞型碳酸盐岩储集层连通性刻画及应用[J]. 新疆石油地质, 2022, 43(2):188-193.
	WU Meilian, CHAI Xiong, ZHOU Bihui, et al. Connectivity characterization of fractured-vuggy carbonate reservoirs and application[J]. Xinjiang Petroleum Geology, 2022, 43(2):188-193.
[13]	巫波, 杨文东, 吕晶, 等. 塔河油田缝洞型储集层类型综合识别[J]. 新疆石油地质, 2023, 44(2):238-244.
	WU Bo, YANG Wendong, LYU Jing, et al. Comprehensive identification of fractured-vuggy reservoirs in Tahe oilfield[J]. Xinjiang Petroleum Geology, 2023, 44(2):238-244.
[14]	田建华, 朱博华, 卢志强, 等. 基于井控多属性机器学习的缝洞型储层预测方法[J]. 油气地质与采收率, 2023, 30(1):86-92.
	TIAN Jianhua, ZHU Bohua, LU Zhiqiang, et al. Fracture-cavity reservoir prediction based on well-controlled multi-attribute machine learning[J]. Petroleum Geology and Recovery Efficiency, 2023, 30(1):86-92.
[15]	常少英, 曾溅辉, 徐旭辉, 等. 碳酸盐岩断溶体内部结构识别技术及应用[J]. 石油地球物理勘探, 2022, 57(2):414-422.
	CHANG Shaoying, ZENG Jianhui, XU Xuhui, et al. Identification technology for internal structures of carbonate fault-karst and its application[J]. Oil Geophysical Prospecting, 2022, 57(2):414-422.
[16]	李海英, 刘军, 龚伟, 等. 顺北地区走滑断裂与断溶体圈闭识别描述技术[J]. 中国石油勘探, 2020, 25(3):107-120. doi: 10.3969/j.issn.1672-7703.2020.03.010
	LI Haiying, LIU Jun, GONG Wei, et al. Identification and characterization of strike-slip faults and traps of fault-karst reservoir in Shunbei area[J]. China Petroleum Exploration, 2020, 25(3):107-120. doi: 10.3969/j.issn.1672-7703.2020.03.010
[17]	刘韬, 王铁一, 孙珂, 等. 碳酸盐岩缝洞型储层叠前—叠后地震综合预测方法及应用[J]. 石油地球物理勘探, 2023, 58(6):1463-1471.
	LIU Tao, WANG Tieyi, SUN Ke, et al. Pre-stack and post-stack seismic comprehensive prediction method and its application in carbonate fractured-vuggy reservoirs[J]. Oil Geophysical Prospecting, 2023, 58(6):1463-1471.
[18]	张滨鑫, 张冠杰, 刘敬寿, 等. 碳酸盐岩缝洞型储层识别与雕刻方法研究进展[J]. 地球物理学进展, 2024, 39(2):580-593.
	ZHANG Binxin, ZHANG Guanjie, LIU Jingshou, et al. Research progress on identification and carving methods of carbonate fracture-cavity reservoirs[J]. Progress in Geophysics, 2024, 39(2):580-593.
[19]	胡浩. Radon变换及其在地震资料去噪中的应用研究[D]. 成都: 成都理工大学, 2014.
	HU Hao. Research on Radon transform and its application in seismic data noise elimination[D]. Chengdu: Chengdu University of Technology, 2014.
[20]	庄广海. 基于Radon变换的时频峰值滤波在地震资料去噪上的应用[D]. 长春: 吉林大学, 2015.
	ZHUANG Guanghai. The time-frenquency peak filtering based on Radon transform and its applications in seismic noise attenuation[D]. Changchun: Jilin University, 2015.
[21]	范欣然. 基于梯度结构张量的碳酸盐岩溶洞刻画方法研究[D]. 成都: 成都理工大学, 2020.
	FAN Xinran. Research on the description method of carbonate caves based on gradient structure tensor[D]. Chengdu: Chengdu University of Technology, 2020.
[22]	廉桂辉, 朱亚婷, 王晓光, 等. 叠前反演技术在玛湖油田储层预测中的应用[J]. 特种油气藏, 2022, 29(1):80-84. doi: 10.3969/j.issn.1006-6535.2022.01.012
	LIAN Guihui, ZHU Yating, WANG Xiaoguang, et al. Application of pre-stack inversion technology to reservoir prediction of Mahu oilfield[J]. Special Oil & Gas Reservoirs, 2022, 29(1):80-84.
[23]	李俊超, 戴城, 方思冬. 基于微地震约束的多尺度复杂压裂缝网自动反演新方法[J]. 天然气工业, 2023, 43(12):46-54.
	LI Junchao, DAI Cheng, FANG Sidong. An automatic inversion method for parameter determination of multi-scale complex hydraulic fracture network based on microseismic constraint[J]. Natural Gas Industry, 2023, 43(12):46-54.
[24]	王江, 王雪峰, 付尤中, 等. 基于小波边缘分析与井-震联合建模的波阻抗反演技术在乌尔逊断陷储层预测中的应用[J]. 大庆石油地质与开发, 2023, 42(2):133-142.
	WANG Jiang, WANG Xuefeng, FU Youzhong, et al. Application of wave impedance inversion technology based on wavelet edge analysis and well-seismic joint modeling in reservoir prediction of Wuerxun rift[J]. Petroleum Geology & Oilfield Development in Daqing, 2023, 42(2):133-142.
[25]	SAYERS C M. The effect of anisotropy on the Young’s moduli and Poisson’s ratios of shales[J]. Geophysical Prospecting, 2013,61:416-426.
[26]	曾勇坚. 页岩油气储层叠前地震反演方法研究[D]. 山东青岛: 中国石油大学(华东), 2016.
	ZENG Yongjian. Research on pre-stack seismic inversion method of shale oil and gas reservoirs[D]. Qingdao, Shandong: China University of Petroleum(East China), 2016.
[27]	王建花, 张金淼, 吴国忱. 宽方位杨氏模量反演和裂缝预测方法及应用:以渤中凹陷H构造潜山勘探为例[J]. 石油地球物理勘探, 2021, 56(3):593-602.
	WANG Jianhua, ZHANG Jinmiao, WU Guochen. Wide-azimuth Young’s modulus inversion and fracture prediction:An example of H structure in Bozhong sag[J]. Oil Geophysical Prospecting, 2021, 56(3):593-602.