Please wait a minute...
E-mail Alert Rss
 
物探与化探  2025, Vol. 49 Issue (2): 312-320    DOI: 10.11720/wtyht.2025.1265
  方法研究信息处理仪器研制 本期目录 | 过刊浏览 | 高级检索 |
番禺4洼古近系储层叠前反演预测技术研究
张振波, 刘灵, 刘道理, 杨登锋
中海石油(中国)有限公司 深圳分公司,广东 深圳 518054
Pre-stack inversion for prediction of the Paleogene reservoirs in the Panyu 4 Sag
ZHANG Zhen-Bo, LIU Ling, LIU Dao-Li, YANG Deng-Feng
Shenzhen Branch of CNOOC, Shenzhen 518054, China
全文: PDF(7970 KB)   HTML
输出: BibTeX | EndNote (RIS)      
摘要 

针对少井且构造沉积双复杂的古近系地层,为了提高储层反演精度,首先在地震资料处理时,采用稀疏脉冲反演一次波估算和各向异性Q叠前深度偏移两项关键技术,提高了地震道集质量和成像品质,然后采用叠前同时反演方法开展研究工作。方法步骤如下:①使用叠加速度,通过层约束Dix反演获得纵波阻抗低频模型;②使用分角度叠加数据和经过井震标定的子波进行弹性阻抗反演,得到远、中、近道弹性阻抗体;③通过Fatti反演,获得初始纵波阻抗、初始横波阻抗和初始密度;④开展叠前同时反演,获得最终的纵波阻抗、横波阻抗和密度;⑤利用岩性和物性反演结果,预测储层展布范围。该方法基于三维地震数据驱动,且对测井依赖程度低,可为类似地质条件下的储层预测工作提供借鉴。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
张振波
刘灵
刘道理
杨登锋
关键词 储层预测Dix反演建模精度弹性阻抗反演Fatti反演叠前同时反演    
Abstract

To improve the inversion accuracy of reservoirs in the Paleogene strata with limited wells and sedimentary and structural complexity, two key technologies were used in seismic data processing: sparse pulse inversion for primary wave estimation and anisotropic Q-pre-stack depth migration (PSDM). This contributed to improved quality of seismic gathers and imaging. Then, the pre-stack simultaneous inversion method was applied as follows: (1) Stacking velocity and layer-constrained Dix inversion were employed to obtain a low-frequency model of P-wave impedance; (2) Elastic impedance inversion was performed using angle-stacked data and well-calibrated wavelets, yielding far, medium, and near elastic impedance; (3) Initial P- and S-wave impedance, as well as initial density, were obtained through Fatti inversion; (4) Pre-stack simultaneous inversion was performed to obtain the final P- and S-wave impedance and density; (5) Lithology and physical property inversion results were used to predict the reservoir distribution range. This method, driven by three-dimensional seismic data and exhibiting low dependence on logs, can serve as a reference for reservoir prediction under similar geological settings.

Key wordsreservoir prediction    Dix inversion    modeling accuracy    elastic impedance inversion    Fatti inversion    pre-stack simultaneous inversion
收稿日期: 2024-06-26      修回日期: 2024-11-05      出版日期: 2025-04-20
ZTFLH:  P631.4  
基金资助:中国海油石油有限公司“十四五”重大科技项目“海上深层/超深层油气勘探技术”(KJGG2022-0403)
作者简介: 张振波(1973-),男,正高级工程师,主要从事海上地震采集及资料处理解释工作。
引用本文:   
张振波, 刘灵, 刘道理, 杨登锋. 番禺4洼古近系储层叠前反演预测技术研究[J]. 物探与化探, 2025, 49(2): 312-320.
ZHANG Zhen-Bo, LIU Ling, LIU Dao-Li, YANG Deng-Feng. Pre-stack inversion for prediction of the Paleogene reservoirs in the Panyu 4 Sag. Geophysical and Geochemical Exploration, 2025, 49(2): 312-320.
链接本文:  
https://www.wutanyuhuatan.com/CN/10.11720/wtyht.2025.1265      或      https://www.wutanyuhuatan.com/CN/Y2025/V49/I2/312
Fig.1  过P6井基于地质框架插值的纵波阻抗模型
Fig.2  叠前同时反演流程
Fig.3  岩石物理约束下的人工智能储层定量预测技术
Fig.4  过P6井的层约束Dix反演结果
Fig.5  过P6井不同角度弹性阻抗反演剖面
Fig.6  过P6井初始反演剖面
Fig.7  过P6井最终反演剖面
Fig.8  不同方法得到的纵波阻抗反演结果对比
Fig.9  番禺地区密度与纵波阻抗交会图
Fig.10  叠前反演结果与测井曲线对比
Fig.11  文昌组储层总厚度
Fig.12  地层岩性与储层物性反演结果
Fig.13  文昌组优质储层总厚度图与孔隙度反演剖面
[1] 张丽, 吴静, 蔡国富, 等. 珠江口盆地番禺4洼文昌组储层特征及主控因素[J]. 矿物岩石, 2022, 42(4):116-127.
[1] Zhang L, Wu J, Cai G F, et al. Reservoir characteristics and main controlling factors of Wenchang formation in Panyu-4 depression,Pearl River Mouth Basin[J]. Mineralogy and Petrology, 2022, 42(4):116-127.
[2] 姜岩, 徐立恒, 张秀丽, 等. 叠前地质统计学反演方法在长垣油田储层预测中的应用[J]. 地球物理学进展, 2013, 28(5):2579-2586.
[2] Jiang Y, Xu L H, Zhang X L, et al. Prestack geostatistical inversion method and its application on the reservoir prediction of Changyuan oil field[J]. Progress in Geophysics, 2013, 28(5):2579-2586.
[3] 杨海长, 李智, 徐建永, 等. 叠前反演在LHK地区烃类检测中的应用[J]. 物探与化探, 2011, 35(5):666-670,688.
[3] Yang H Z, Li Z, Xu J Y, et al. The application of pre-stack seismic inversion to hydrocarbon detection in the complex oil and gas field[J]. Geophysical and Geochemical Exploration, 2011, 35(5):666-670,688.
[4] 张卫卫, 刘军, 刘力辉, 等. 珠江口盆地番禺4洼古近系文昌组岩性预测技术及应用[J]. 岩性油气藏, 2022, 34(6):118-125.
doi: 10.12108/yxyqc.20220610
[4] Zhang W W, Liu J, Liu L H, et al. Lithology prediction technology and its application of Paleogene Wenchang Formation in Panyu-4 depression,Pearl River Mouth Basin[J]. Lithologic Reservoirs, 2022, 34(6):118-125.
[5] 罗明, 刘汉卿, 宗兆云, 等. 东沙隆起区灰岩强振幅影响下储层识别与流体检测研究及应用[J]. 物探化探计算技术, 2023, 45(3):335-343.
[5] Luo M, Liu H Q, Zong Z Y, et al. Research and application of reservoir identification and oil-gas prediction under the influence of the strong amplitude of limestone in the Dongsha uplift area[J]. Computing Techniques for Geophysical and Geochemical Exploration, 2023, 45(3):335-343.
[6] 苑书金. 叠前地震反演技术的进展及其在岩性油气藏勘探中的应用[J]. 地球物理学进展, 2007, 22(3):879-886.
[6] Yuan S J. Progress of pre-stack inversion and application in exploration of the lithological reservoirs[J]. Progress in Geophysics, 2007, 22(3):879-886.
[7] 姜勇, 俞伟哲, 刘庆文, 等. 基于目标最优双向建模的柯西约束反演方法研究及应用[J]. 石油物探, 2023, 62(1):142-153.
doi: 10.3969/j.issn.1000-1441.2023.01.012
[7] Jiang Y, Yu W Z, Liu Q W, et al. Research on and application of Cauchy constrained inversion method based on objective-optimal bidirectional modeling[J]. Geophysical Prospecting for Petroleum, 2023, 62(1):142-153.
doi: 10.3969/j.issn.1000-1441.2023.01.012
[8] Zhang Z B, Xuan Y H, Deng Y. Simultaneous prestack inversion of variable-depth streamer seismic data[J]. Applied Geophysics, 2019, 16(1):92-100.
[9] 陈兆明, 李志晔, 张卫卫, 等. 深度学习算法在白云凹陷深水区密度反演中的应用[J]. 中国海上油气, 2022, 34(3):55-61.
[9] Chen Z M, Li Z Y, Zhang W W, et al. Application of depth learning algorithm to density inversion in deepwater area of Baiyun Sag[J]. China Offshore Oil and Gas, 2022, 34(3):55-61.
[10] Fatti J L, Smith G C, Vail P J, et al. Detection of gas in sandstone reservoirs using AVO analysis:A 3-D seismic case history using the Geostack technique[J]. Geophysics, 1994, 59(9):1362-1376.
[11] 徐长贵, 赖维成. 渤海古近系中深层储层预测技术及其应用[J]. 中国海上油气, 2005, 17(4):231-236.
[11] Xu C G, Lai W C. Predication technologies of Paleogene mid-deep reservoir and their application in Bohai Sea[J]. China Offshore Oil and Gas, 2005, 17(4):231-236.
[12] 黄江波, 左中航, 侯栋甲, 等. 叠前密度反演技术在沙南凹陷中深层储层预测中的应用[J]. 海洋地质前沿, 2021, 37(2):46-53.
[12] Huang J B, Zuo Z H, Hou D J, et al. Application of pre-stack density inversion technology to middle-deep reservoir prediction in Shanan depression[J]. Marine Geology Frontiers, 2021, 37(2):46-53.
[13] 陈人杰, 徐乐意, 刘灵, 等. 基于协克里金技术的陆相地层反演低频模型构建方法[J]. 物探与化探, 2023, 47(6):1595-1601.
[13] Chen R J, Xu L Y, Liu L, et al. A low frequency model construction method for continental strata inversion based on co-Kriging technique[J]. Geophysical and Geochemical Exploration, 2023, 47(6):1595-1601.
[14] 张霖斌, 姚振兴. 层状介质的声波波动方程反演[J]. 地球物理学进展, 2000, 15(2):22-29.
[14] Zhang L B, Yao Z X. Wavform inversion of acoustic data in layered media[J]. Progress in Geophysics, 2000, 15(2):22-29.
[15] Connolly P. Elastic impedance[J]. The Leading Edge, 1999, 18(4):438-452.
[16] 杨辉, 戴世坤, 宋海斌, 等. 综合地球物理联合反演综述[J]. 地球物理学进展, 2002, 17(2):262-271.
[16] Yang H, Dai S K, Song H B, et al. Overview of joint inversion of integrated geophysics[J]. Progress in Geophysics, 2002, 17(2):262-271.
[17] 甘利灯, 王峣钧, 罗贤哲, 等. 基于孔隙结构参数的相控渗透率地震预测方法[J]. 石油勘探与开发, 2019, 46(5):883-890.
doi: 10.11698/PED.2019.05.07
[17] Gan L D, Wang Y J, Luo X Z, et al. A permeability prediction method based on pore structure and lithofacies[J]. Petroleum Exploration and Development, 2019, 46(5):883-890.
[18] 胡华锋, 印兴耀, 吴国忱. 基于贝叶斯分类的储层物性参数联合反演方法[J]. 石油物探, 2012, 51(3):225-232.
[18] Hu H F, Yin X Y, Wu G C. Joint inversion of petrophysical parameters based on Bayesian chassification[J]. Geophysical Prospecting for Petroleum, 2012, 51(3):225-232.
[19] Saltzer R, Finn C, BurtzOlivier M. Predicting Vshale and porosity using cascaded seismic and rock physics inversion[J]. Geophy-sics, 2019, 24:732-736.
[20] 邓继新, 王尚旭. 基于统计岩石物理的含气储层饱和度与孔隙度联合反演[J]. 石油天然气学报, 2009, 31(1):48-52,391.
[20] Deng J X, Wang S X. Joint inversion of saturation and porosity in gas reservoirs based on statistical rock physics[J]. Journal of Oil and Gas Technology, 2009, 31(1):48-52,391.
[21] 刘灵, 张卫卫, 朱焱辉, 等. 基于岩石物理模型的凝灰质砂岩的识别与刻画——以珠江口盆地惠州凹陷古近系砂岩储层为例[J]. 石油物探, 2024, 63(2):336-345.
doi: 10.12431/issn.1000-1441.2024.63.02.006
[21] Liu L, Zhang W W, Zhu Y H, et al. Identification and characterization of tuffaceous sandstone based on petrophysical model:A case study of Paleogene sandstone reservoir in Huizhou Sag of the Pearl River Mouth Basin[J]. Geophysical Prospecting for Petroleum, 2024, 63(2):336-345.
[22] 丁在宇, 杨勇, 王一鸣, 等. 浅海拖缆地震数据处理中关键技术的应用与效果[J]. 石油地球物理勘探, 2017, 52(S2):56-63,3.
[22] Ding Z Y, Yang Y, Wang Y M, et al. Application and effect of key technologies in seismic data processing of shallow water streamers[J]. Oil Geophysical Prospecting, 2017, 52(S2):56-63,3.
[23] 杨鹏程, 李斌, 邵文潮, 等. 海域天然气水合物三维地震处理关键技术应用[J]. 海洋石油, 2021, 41(3):1-7.
[23] Yang P C, Li B, Shao W C, et al. The key techniques of 3D seismic data processing for gas hydrate[J]. Offshore Oil, 2021, 41(3):1-7.
[24] 薛志刚, 轩义华, 刘铮, 等. 气云区全波形反演约束Q场建模技术[J]. 吉林大学学报:地球科学版, 2022, 52(2):613-623.
[24] Xue Z G, Xuan Y H, Liu Z, et al. FWI guided Q modeling technology in gas clouds area[J]. Journal of Jilin University:Earth Science Edition, 2022, 52(2):613-623.
[1] 米信武, 周成刚, 田军, 韩耀祖, 李亚楠, 肖冰清. 塔里木盆地轮南地区三叠系非均质薄砂岩储层预测[J]. 物探与化探, 2025, 49(2): 321-329.
[2] 张永升, 张荣, 樊易, 张安家, 李英才. 基于稀疏约束频率域抛物线Radon变换的波场分解[J]. 物探与化探, 2024, 48(6): 1653-1663.
[3] 曹绍贺, 任凤茹, 王霄霄. 东胜气田致密砂岩储层甜点预测关键技术与应用效果[J]. 物探与化探, 2024, 48(4): 954-961.
[4] 李路路, 姜国宇, 刘涛, 何岩, 张永波. 准噶尔盆地石南地区白垩系储层地球物理方法识别[J]. 物探与化探, 2024, 48(2): 334-341.
[5] 何希鹏, 刘明, 薛野, 李彦婧, 何贵松, 孟庆利, 张勇, 刘昊娟, 蓝加达, 杨帆. 渝东南复杂构造区常压页岩气地球物理勘探实践及攻关方向[J]. 物探与化探, 2024, 48(2): 314-326.
[6] 史全党, 孔令业, 吴超, 丁艳雪, 刘泽民, 于雪, 王江. 基于小波边缘分析与井—震联合建模的波阻抗反演技术在陆梁隆起带储层预测中的应用[J]. 物探与化探, 2023, 47(6): 1425-1432.
[7] 陈人杰, 徐乐意, 刘灵, 朱焕, 易浩, 姜曼. 基于协克里金技术的陆相地层反演低频模型构建方法[J]. 物探与化探, 2023, 47(6): 1595-1601.
[8] 宋晨, 金吉能, 潘仁芳, 朱博远, 喻志骅, 唐小玲. 分频AVO技术在安岳气田须二段储层含气性分析中的应用[J]. 物探与化探, 2023, 47(3): 681-689.
[9] 张德明, 刘志刚, 臧殿光, 廖显锋, 刘志毅, 刘国宝. 基于叠前同时反演的致密砂岩储层预测及含气性识别——以苏里格S区块为例[J]. 物探与化探, 2022, 46(3): 645-652.
[10] 肖张波, 雷永昌, 于骏清, 吴琼玲, 杨超群. 基于宽频资料的扩展弹性阻抗反演方法在陆丰22洼陷低勘探区古近系岩性预测中的应用[J]. 物探与化探, 2022, 46(2): 392-401.
[11] 冯鑫. 平点技术在西非深水碎屑岩储层烃检中的应用[J]. 物探与化探, 2022, 46(2): 433-443.
[12] 王成泉, 王孟华, 周佳宜, 王盛亮, 杨洲鹏, 刘慧, 张红文. 多属性融合定量储层预测方法研究与应用——以廊固凹陷杨税务潜山为例[J]. 物探与化探, 2022, 46(1): 87-95.
[13] 刘鸿洲, 王孟华, 张浩, 彭玲丽, 李雯, 张杰, 赵智鹏, 伍泽荆. 基于分频构形反演方法的河道砂精准预测——以华北冀中探区赵皇庄地区为例[J]. 物探与化探, 2021, 45(5): 1311-1319.
[14] 刘家材, 张冲, 韩绪军. 哈萨克斯坦B油田M02段综合地震储层预测[J]. 物探与化探, 2021, 45(2): 379-386.
[15] 刘浩杰, 陈雨茂, 王延光, 宗兆云, 吴国忱, 侯庆杰. 粘弹介质叠前四参数同步反演及应用[J]. 物探与化探, 2021, 45(1): 140-148.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-3
版权所有 © 2021《物探与化探》编辑部
通讯地址:北京市学院路29号航遥中心 邮编:100083
电话:010-62060192;62060193 E-mail:whtbjb@sina.com , whtbjb@163.com