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Application of wave impedance inversion technology based on wavelet edge analysis and well-seismic joint modeling in reservoir prediction of Wuerxun rift
王江,王雪峰,付尤中,朱荷月
WANG Jiang,WANG Xuefeng,FU Youzhong,ZHU Heyue
摘要(Abstract):
针对乌尔逊断陷构造复杂、储层横向非均质性强、含油砂体小而薄预测难的问题,应用小波边缘分析与井-震联合建模的波阻抗反演技术,从地震记录中直接提取反映构造和岩性变化的地震属性特征参数,与测井声波阻抗数据一起建立初始模型并参与波阻抗模型的扰动修改。此反演技术弥补了井间插值建模过程中井间高频成分的缺失和井间岩性的局部变化细节,避免了常规波阻抗反演过程中由于初始模型不准确而产生的错误信息,提高了地震资料识别“小而薄”砂体的分辨能力。结果表明:受东部物源控制,乌尔逊断陷铜钵庙断裂带发育扇三角洲-半深湖(深湖)沉积体系;受断裂坡折带影响,在铜钵庙断层的下降盘发育一系列扇三角洲前缘砂体。实际钻井结果与钻前预测对比表明,井点处砂体顶界构造深度的相对误差小于0.3%,砂体厚度的相对误差小于3.84%,预测精度满足精细储层预测要求。研究成果可为乌尔逊断陷精细油藏描述和井位部署提供依据。
In view of complex structures, high lateral heterogeneity of reservoirs and difficult prediction of small and thin oil-bearing sand bodies in Wuerxun rift, wave impedance inversion technology of wavelet edge analysis and well-seismic joint modeling is applied to directly extract seismic attribute characteristics parameters reflecting structural and lithological changes from seismic records, and establish initial model together with logging acoustic impedance data and participate in disturbance modification of wave impedance model. This inversion technology makes up for the lack of inter-well high-frequency components and the details of inter-well local lithologic change in the process of inter-well interpolation modeling, avoiding error information caused by inaccurate initial model in the process of conventional wave impedance inversion, and improving resolution of seismic data to identify “small and thin” sand bodies. The result shows that Tongbomiao fault belt in Wuerxun rift develops sedimentary systems of fan delta-semi deep lake(deep lake) controlled by eastern provenance. Influenced by faulted slope break belt, a series of fan delta front sand bodies are developed in downthrown side of Tongbomiao fault. Comparison between actual drilling and pre-drilling prediction indicates that absolute value of relative error of structural depth on sand body top at well point is <0.3%, and absolute value of relative error of sand body thickness is <3.84%. Prediction accuracy meets the requirements of fine reservoir prediction. The research provides basis for fine reservoir description and well deployment in Wuerxun rift.
关键词(KeyWords):
小波边缘分析;井-震联合建模;波阻抗反演;储层预测;地震属性特征参数;铜钵庙断裂带;乌尔逊断陷
wavelet edge analysis;well-seismic joint modeling;wave impedance inversion;reservoir prediction;seismic attribute characteristics parameters;Tongbomiao fault belt;Wuerxun rift
基金项目(Foundation): 中国石油天然气股份有限公司重大科技项目“大庆油气持续有效发展关键技术研究与应用”(2016E-02)
作者(Author):
王江,王雪峰,付尤中,朱荷月
WANG Jiang,WANG Xuefeng,FU Youzhong,ZHU Heyue
DOI: 10.19597/j.issn.1000-3754.202207007
参考文献(References):
- [1]LI G F,ZHOU H,ZHAO C. Potential risks of spectrum whitening deconvolution-compared with well-driven deconvolution[J].Petroleum Science,2009,6(2):146-152.
- [2]潘海娣,吕健飞,陈娟,等.三步法提高地震分辨率处理技术在鄂尔多斯盆地苏东南地区薄砂体识别中的应用[J].大庆石油地质与开发,2021,40(6):144-150.PAN Haidi,LüJianfei,CHEN Juan,et al. Three-step method of processing technique for enhancing the seismic resolution and its application in the thin sandbody recognition in Southeast Sugeli of Ordos Basin[J].Petroleum Geology&Oilfield Development in Daqing,2021,40(6):144-150.
- [3]李奎周,郑绪瑭,赵海波,等.基于波形分解的重构地震数据体技术在致密油薄储层预测中的应用[J].大庆石油地质与开发,2022,41(4):131-137.LI Kuizhou,ZHENG Xutang,ZHAO Haibo,et al. Application of reconstructed seismic data volume technology based on waveform decomposition in prediction of thin tight oil reservoir[J].Petroleum Geology&Oilfield Development in Daqing,2022,41(4):131-137.
- [4]刘俊州,韩磊,时磊,等.致密砂岩储层多尺度裂缝地震预测技术:以川西XC地区为例[J].石油与天然气地质,2021,42(3):747-754.LIU Junzhou, HAN Lei, SHI Lei, et al. Seismic prediction of tight sandstone reservoir fractures in XC area, western Sichuan Basin[J].Oil&Gas Geology,2021,42(3):747-754.
- [5]刘军,李伟,龚伟,等.顺北地区超深断控储集体地震识别与描述[J].新疆石油地质,2021,42(2):238-245.LIU Jun,LI Wei,GONG Wei,et al. Seismic identification and description of ultra-deep fault-controlled reservoirs in Shunbei area[J]. Xinjiang Petroleum Geology,2021,42(2):238-245.
- [6]李春梅,彭才,韦柳阳,等.小尺度缝洞型碳酸盐岩储集体地震预测技术:以四川盆地台内GS18井区灯影组四段储层为例[J].断块油气田,2022,29(2):189-193.LI Chunmei, PENG Cai, WEI Liuyang, et al. Seismic prediction technology of small scale fractured-cave carbonate reservoir:Taking the intra-platform reservoir of the fourth Member of Dengying Formation in GS18 wellblock, Sichuan Basin as an example[J]. Fault-Block Oil and Gas Field, 2022, 29(2):189-193.
- [7]刘建伟.济阳坳陷东营凹陷北带砂砾岩扇体沉积相井震联合地震精细描述[J].特种油气藏,2021,28(1):18-25.LIU Jianwei. Accurate description by well-to-seismic integration of glutenite fan sedimentation in the northern Dongying Sag,Jiyang Sub-basin[J]. Special Oil&Gas Reservoirs,2021,28(1):18-25.
- [8]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.
- [9]马昭军,沈杰,张剑飞.超深层地震资料低频成像处理关键技术及其应用[J].大庆石油地质与开发,2021,40(4):132-136.MA Zhaojun, SHEN Jie, ZHANG Jianfei. Key techniques and their application of low-frequency imaging processing for ultradeep seismic data[J]. Petroleum Geology&Oilfield Development in Daqing,2021,40(4):132-136.
- [10]王月蕾,王树华,毕俊凤,等.纵波阻抗精细重构下的地震反演技术在东风港油田的应用[J].大庆石油地质与开发,2021,40(1):137-145.WANG Yuelei,WANG Shuhua,BI Junfeng,et al. Application of the seismic inverting technology based on the fine reconstruction of P-wave impedance in Dongfenggang Oilfield[J]. Petroleum Geology&Oilfield Development in Daqing, 2021, 40(1):137-145.
- [11]王江,赵传军,李国福,等.地震拓频处理技术在乌尔逊断陷北部储层预测中的应用[J].大庆石油地质与开发,2021,40(4):125-131.WANG Jiang,ZHAO Chuanjun,LI Guofu,et al. Application of seismic frequency expanding processing technology in the reservoir prediction of North Wuerxun Rift[J]. Petroleum Geology&Oilfield Development in Daqing,2021,40(4):125-131.
- [12]姚逢昌,甘利灯.地震反演的应用与限制[J].石油勘探与开发,2000,27(2):53-56.YAO Fengchang,GAN Lideng. Application and limitation of seismic inversion[J]. Petroleum Exploration and Development,2000,27(2):53-56.
- [13]李国发,王艳仓,熊金良,等.地震波阻抗反演实验分析[J].石油地球物理勘探,2010,45(6):868-872.LI Guofa,WANG Yancang,XIONG Jinliang,et al. Experimental analysis of seismic wave impedance inversion[J]. Oil Geophysical Prospecting,2010,45(6):868-872.
- [14]王江,陈沫,王杰,等.地震分频技术在扇三角洲前缘砂体预测中的应用:以海拉尔盆地乌尔逊断陷铜钵庙断裂带南屯组为例[J].海相油气地质,2021,21(3):90-96.WANG Jiang,CHEN Mo,WANG Jie,et al. Application of seismic frequency division technique in sand body prediction of fan delta front:Taking Nantun Formation of Tongbomiao fault zone in Wuerxun fault depression of Hailaer Basin as an example[J].Marine Petroleum Geology,2021,21(3):90-96.
- [15]许崇宝,刘东源.小波边缘分析建模波阻抗反演方法在煤层解释中的应用[J].中国煤炭地质,2008,20(2):43-45.XU Chongbao, LIU Dongyuan. Application of wavelet marginal analytical modeling wave impedance inversion in coal seam interpretation[J]. Coal Geology of China,2008,20(2):43-45.
- [16]崔永福,彭更新,李国会,等.基于小波边缘分析建模的波阻抗反演技术[J].新疆石油地质,2009,30(2):261-263.CUI Yongfu,PENG Gengxin,LI Guohui,et al. Acoustic impedance inversion based on wavelet edge analysis and modeling[J]. Xinjiang Petroleum Geology,2009,30(2):261-263.
- [17]谢裕江,刘高.小波边缘分析与建模的波阻抗反演算法的改进:以中国MOU气田盒8段储层分布预测为例[J].浙江大学学报(工学版),2013,47(9):1680-1696.XIE Yujiang,LIU Gao. Algorithmic modification of acoustic impedance inversion based on wavelet edge analysis and modelling:A case of reservoir distribution prediction in h8 segment of MOU gas field China[J].Journal of Zhejiang University(Engineering Science),2013,47(9):1680-1696.
- [18]王江,涂国田,王杰.基于载波调制的高分辨率地震双向拓频技术及其应用[J].石油物探,2021,60(6):954-963.WANG Jiang,TU Guotian,WANG Jie. High-resolution seismic bidirectional frequency extension based on carrier modulation[J]. Geophysical Prospecting for Petroleum, 2021, 60(6):954-963.
- [19]INGBER L. Very fast simulated re-annealing[J]. Mathematical and Computer Modelling,1989,12(8):967-973.
- [20]HUANG X R,KELKAR M,CHOPRA A,et al.Wavelet sensitivity study on inversion using heuristic combinational algorithms[C].Houston:SEG Annual Meeting,1995.
- [21]杨位钦,顾岚.时间序列分析与动态数据建模[M].北京:北京工业学院出版社,1987.YANG Weiqin,GU Lan. Time series analysis and dynamic data modeling[M]. Beijing:Beijing Institute of Technology Press,1987.