岩性油气藏 ›› 2023, Vol. 35 ›› Issue (5): 100–107.doi: 10.12108/yxyqc.20230510

• 地质勘探 • 上一篇    下一篇

渤海蓬莱19-3油田新近系明下段曲流河储层构型表征

徐中波, 汪利兵, 申春生, 陈铭阳, 甘立琴   

  1. 中海石油 (中国) 有限公司 天津分公司, 天津 300452
  • 收稿日期:2022-09-05 修回日期:2022-10-15 出版日期:2023-09-01 发布日期:2023-09-28
  • 第一作者:徐中波（1984—），男，硕士，高级工程师，主要从事油气田开发研究。地址：（300452）天津市滨海新区海川路2121号渤海石油管理局大厦B座。Email：xuzhb2@cnooc.com.cn。
  • 基金资助:
    中海油科技重大专项 “渤海油田稳产 3000 万吨， 上产 4 000 万吨关键技术研究”（编号： CNOOC-KJ135ZDXM36TJ01TJ） 资助。

Architecture characterization of meandering river reservoirs of lower Ming huazhen Formation of Neogene in Penglai 19-3 oilfield，Bohai Sea

XU Zhongbo, WANG Libing, SHEN Chunsheng, CHEN Mingyang, GAN Liqin   

  1. Tianjin Branch of CNOOC China Limited, Tianjin 300452, China
  • Received:2022-09-05 Revised:2022-10-15 Online:2023-09-01 Published:2023-09-28

PDF (PC)

246

摘要： 开展复合砂体内部不同级次储层构型单元的精细表征对渤海蓬莱19-3油田明下段开发方案的优化至关重要。综合应用岩心、测井和三维地震资料，并进行多地震属性的智能融合，实现了对蓬莱19-3油田三区明下段Ⅳ油组2小层曲流河储层五—三级构型单元的精细刻画。研究结果表明： ①蓬莱19-3油田目的层段可划分为单一曲流带、单一点坝砂体和单一侧积体不同级次储层构型单元。②地震属性中的最大振幅、反射强度和相对波阻抗对储层响应较为敏感，基于物性参数监督的神经网络多属性融合进一步提高了储层预测的精度和可信度。③研究区发育南北向展布、中间窄两端宽的单一曲流带五级构型单元；单一点坝四级构型单元呈串珠状分布且互相切割改造；单一点坝内部侧积体呈正韵律，侧积层倾角为2°～5°。④采用多属性智能融合技术对研究区曲流河多级次构型单元进行刻画的结果显示，不同成因类型构型单元的几何形态、规模及其结构存在相关性，对调整井位、完善注采井网、提高油田开发效率具有重要意义。

关键词: 多属性融合, 曲流河, 点坝, 多级次, 构型表征, 明下段, 新近系, 蓬莱19-3油田, 渤海

Abstract: It is important to carry out fine characterization of different levels of reservoir architecture units in the composite sand bodies for the optimization of the development plan of the lower Minghuazhen Formation in Penglai 19-3 oilfield in Bohai Sea. The cores，logging and 3D seismic data were used to characterize fifth to thirdorder architecture units based on multi-attribute intelligent fusion in the second sublayer of Ⅳ oil group of lower Minghuazhen Formation in the third region of Penglai 19-3 oilfield. The results show that：（1）It can be divided into different levels of reservoir architecture units such as single meander belts， single point bar sand body and single lateral deposit in Penglai 19-3 oilfield.（2）Through the optimization of seismic attributes， the maximum amplitude， reflection intensity and relative impedance are more sensitive to reservoir response. The neural network multi-attribute fusion based on parameter supervision further improves the accuracy and reliability of reservoir prediction.（3）A single meander belt with fifth-order configuration unit is developed in the study area， which is narrow in the middle and wide at both ends in the north-south direction. The fourth-order architecture unit of single point bar is distributed in a string of beads， and the point bars are cut and transformed with each other. The lateral deposit is positive rhythm， and the dip angle of the lateral deposit is 2°-5°.（4）The geometric shape， scale and structure of the configuration units of different genetic types are relevant， which is of great significance for adjusting the well location， improving the injection-production well pattern and improving the efficiency of oilfield development.

Key words: multi-attribute fusion, meandering river, point bar, multi-order, architecture characterization, lower Minghuazhen Formation, Neogene, Penglai 19-3 oilfield, Bohai Sea

中图分类号: 

  • TE122.2
[1] 薛永安,邓运华,王德英,等.蓬莱19-3特大型油田成藏条件及勘探开发关键技术[J].石油学报, 2019, 40(9):1125-1146. XUE Yongan, DENG Yunhua, WANG Deying, et al. Reservoir formation conditions and key exploration & development technologies in PL19-3 giant oilfield[J]. Acta Petrolei Sinica, 2019, 40(9):1125-1146.
[2] 刘彦成,罗宪波,康凯,等.陆相多层砂岩油藏渗透率表征与定向井初期产能预测:以蓬莱19-3油田为例[J].石油勘探与开发, 2017, 44(1):97-103. LIU Yancheng, LUO Xianbo, KANG Kai, et al. Permeability characterization and directional wells initial productivity prediction in the continental multilayer sandstone reservoirs:A case from Penglai 19-3 oilfield, Bohai Bay Basin[J]. Petroleum Exploration and Development, 2017, 44(1):97-103.
[3] 王越,陈世悦.曲流河砂体构型及非均质性特征:以山西保德扒楼沟剖面二叠系曲流河砂体为例[J].石油勘探与开发, 2016, 43(2):209-218. WANG Yue, CHEN Shiyue. Meandering river sand body architecture and heterogeneity:A case study of Permian meandering river outcrop in Palougou, Baode, Shanxi province[J]. Petroleum Exploration and Development, 2016, 43(2):209-218.
[4] 易志凤,张尚峰,王雅宁,等.差异曲率下的曲流河点坝砂体定量表征:以黄河源区白河现代沉积为例[J].岩性油气藏, 2022, 34(1):34-42. YI Zhifeng, ZHANG Shangfeng, WANG Yaning, et al. Quantitative characterization of point bar sand bodies in meandering river under different curvatures:A case study of modern deposition of Baihe river in the source area of Yellow River[J]. Lithologic Reservoirs, 2022, 34(1):34-42.
[5] 王夏斌,胡光义,范廷恩,等.复合点坝构型样式分类方案及分布概率统计[J].古地理学报, 2021, 23(1):207-222. WANG Xiabin, HU Guangyi, FAN Tingen, et al. Classification scheme and distribution probability statistics of composite point bar architectures[J]. Journal of Palaeogeography (Chinese Edition), 2021, 23(1):207-222.
[6] 龙明,刘英宪,陈晓祺,等.基于曲流河储层构型的注采结构优化调整[J].岩性油气藏, 2019, 31(6):146-154. LONG Ming, LIU Yingxian, CHEN Xiaoqi, et al. Optimization adjustment of injection-production structure based on meandering river reservoir architecture[J]. Lithologic Reservoirs, 2019, 31(6):146-154.
[7] 刘超,赵春明,廖新武,等.海上油田大井距条件下曲流河储层内部构型精细解剖及应用分析[J].中国海上油气, 2014, 26(1):58-64. LIU Chao, ZHAO Chunming, LIAO Xinwu, et al. A refined anatomy of the internal structure of meandering river reservoirs under large well spacing in offshore oilfields and its application[J]. China Offshore Oil and Gas, 2014, 26(1):58-64.
[8] 王海峰,范廷恩,胡光义,等.海上油田开发中后期砂岩储层构型剖析与表征[J].海洋地质与第四纪地质, 2020, 40(1):114-125. WANG Haifeng, FAN Tingen, HU Guangyi, et al. Analysis and characterization of sandstone reservoir architecture in middle and late stages of offshore oilfield development[J]. Marine Geology & Quaternary Geology, 2020, 40(1):114-125.
[9] 李廷礼,韩建斌,梁世豪,等.曲流河储层展布特征:以渤海P油田为例[J].海洋地质前沿, 2018, 34(12):39-46. LI Tingli, HAN Jianbin, LIANG Shihao, et al. Distribution pattern of the meandering river reservoir:A case from the P oilfield in Bohai[J]. Marine Geology Frontiers, 2018, 34(12):39-46.
[10] 王利功,毕建军,王振辉,等.地震平面沉积相解释方法研究及应用[J].岩性油气藏, 2011, 23(6):84-88. WANG Ligong,BI Jianjun,WANG Zhenhui,et al. Seismic plane sedimentary facies interpretation method and its application[J]. Lithologic Reservoirs, 2011, 23(6):84-88.
[11] MIALL A D. Architectural-element analysis:A new method of facies analysis applied to fluvial deposits[J]. Earth-Science Reviews, 1985, 22(4):261-308.
[12] 赵志平,官大勇,刘朋波,等.蓬莱19-3油田西北斜坡带构造特征及控藏作用[J].海洋地质前沿, 2019, 35(3):59-67. ZHAO Zhiping, GUAN Dayong, LIU Pengbo, et al. Structure features of the northwest slope zone of Penglai 19-3 oilfield and their controlling over hydrocarbon accumulation[J]. Marine Geology Frontiers, 2019, 35(3):59-67.
[13] 李宗奇,林承焰,张宪国,等.孤东油田七区西Ng52+3层曲流河储层构型表征[J].东北石油大学学报, 2017, 41(5):70-80. LI Zongqi, LIN Chengyan, ZHANG Xianguo, et al. Architectural characterization of meandering river reservoir of the unit Ng52+3 in the west 7 th block of Gudong oilfield[J]. Journal of Northeast Petroleum University, 2017, 41(5):70-80.
[14] 张宪国,吴啸啸,黄德榕,等.极限学习机驱动的地震多属性融合识别曲流带单一点坝[J].石油地球物理勘探, 2021, 56(6):1340-1350. ZHANG Xianguo, WU Xiaoxiao, HUANG Derong, et al. Single point bar interpretation in meandering belt with extreme learning machine driven multiple seismic attributes fusion[J]. Oil Geophysical Prospecting, 2021, 56(6):1340-1350.
[15] 林年添,付超,张栋,等.无监督与监督学习下的含油气储层预测[J].石油物探, 2018, 57(4):601-610. LIN Niantian, FU Chao, ZHANG Dong, et al. Supervised learning and unsupervised learning for hydrocarbon prediction using multiwave seismic data[J]. Geophysical Prospecting for Petroleum, 2018, 57(4):601-610.
[16] 刘化清,苏明军,倪长宽,等.薄砂体预测的地震沉积学研究方法[J].岩性油气藏, 2018, 30(2):1-11. LIU Huaqing, SU Mingjun, NI Changkuan, et al. Thin bed prediction from interbeded background:Revised seismic sedimentological method[J]. Lithologic Reservoirs, 2018, 30(2):1-11
[17] 岳大力,胡光义,李伟,等.井震结合的曲流河储层构型表征方法及其应用:以秦皇岛32-6油田为例[J].中国海上油气, 2018, 30(1):99-109. YUE Dali, HU Guangyi, LI Wei, et al. Meandering fluvial reservoir architecture characterization method and application by combining well logging and seismic data:A case study of QHD 32-6 Oilfield[J]. China Offshore Oil and Gas, 2018, 30(1):99-109.
[18] 杨桥,漆家福.碎屑岩层的分层去压实校正方法[J].石油实验地质, 2003, 25(2):206-210. YANG Qiao, QI Jiafu. Method of delaminated decompaction correction[J]. Petroleum Geology & Experiment, 2003, 25(2):206-210.
[19] LEEDER M R. Fluviatile fining upwards cycles and the magnitude of palaeochannels[J]. Geological Magazine, 1973, 110(3):265-276.
[20] 陈薪凯,刘景彦,陈程,等.主要构型要素细分下的曲流河单砂体识别[J].沉积学报, 2020, 38(1):205-217. CHEN Xinkai, LIU Jingyan, CHEN Cheng, et al. Identifying single sand bodies in meandering river deposits based on subdivision of main architecture elements[J]. Acta Sedimentologica Sinica, 2020, 38(1):205-217.
[1] 冯斌, 黄晓波, 何幼斌, 李华, 罗进雄, 李涛, 周晓光. 渤海湾盆地庙西北地区古近系沙河街组三段源-汇系统重建[J]. 岩性油气藏, 2024, 36(3): 84-95.
[2] 方旭庆, 钟骑, 张建国, 李军亮, 孟涛, 姜在兴, 赵海波. 渤海湾盆地沾化凹陷古近系沙三下亚段旋回地层学分析及地层划分[J]. 岩性油气藏, 2024, 36(3): 19-30.
[3] 刘仁静, 陆文明. 断块油藏注采耦合提高采收率机理及矿场实践[J]. 岩性油气藏, 2024, 36(3): 180-188.
[4] 王亚, 刘宗宾, 路研, 王永平, 刘超. 基于SSOM的流动单元划分方法及生产应用——以渤海湾盆地F油田古近系沙三中亚段湖底浊积水道为例[J]. 岩性油气藏, 2024, 36(2): 160-169.
[5] 胡望水, 高飞跃, 李明, 郭志杰, 王世超, 李相明, 李圣明, 揭琼. 渤海湾盆地廊固凹陷古近系沙河街组油藏单元精细表征[J]. 岩性油气藏, 2023, 35(5): 92-99.
[6] 姚秀田, 王超, 闫森, 王明鹏, 李婉. 渤海湾盆地沾化凹陷新生界断层精细表征及地质意义[J]. 岩性油气藏, 2023, 35(4): 50-60.
[7] 张昌民, 张祥辉, ADRIAN J. Hartley, 冯文杰, 尹太举, 尹艳树, 朱锐. 分支河流体系分类初探[J]. 岩性油气藏, 2023, 35(4): 1-15.
[8] 曾旭, 卞从胜, 沈瑞, 周可佳, 刘伟, 周素彦, 汪晓鸾. 渤海湾盆地歧口凹陷古近系沙三段页岩油储层非线性渗流特征[J]. 岩性油气藏, 2023, 35(3): 40-50.
[9] 杨润泽, 赵贤正, 刘海涛, 李宏军, 赵长毅, 蒲秀刚. 渤海湾盆地黄骅坳陷古生界源内和源下油气成藏特征及有利区预测[J]. 岩性油气藏, 2023, 35(3): 110-125.
[10] 黄彦庆, 刘忠群, 王爱, 肖开华, 林恬, 金武军. 四川盆地元坝地区上三叠统须家河组三段致密砂岩气甜点类型与分布[J]. 岩性油气藏, 2023, 35(2): 21-30.
[11] 姚秀田, 王超, 闫森, 王明鹏, 李婉. 渤海湾盆地沾化凹陷新近系馆陶组储层敏感性[J]. 岩性油气藏, 2023, 35(2): 159-168.
[12] 杨楷乐, 何胜林, 杨朝强, 王猛, 张瑞雪, 任双坡, 赵晓博, 姚光庆. 高温-超压-高CO2背景下致密砂岩储层成岩作用特征——以莺歌海盆地LD10区新近系梅山组-黄流组为例[J]. 岩性油气藏, 2023, 35(1): 83-95.
[13] 邓美玲, 王宁, 李新琦, 陈容涛, 刘岩, 徐耀辉. 渤海莱州湾凹陷中部古近系沙三段烃源岩地球化学特征及沉积环境[J]. 岩性油气藏, 2023, 35(1): 49-62.
[14] 马东烨, 陈宇航, 赵靖舟, 吴伟涛, 宋平, 陈梦娜. 鄂尔多斯盆地东部二叠系下石盒子组8段河流相砂体构型要素[J]. 岩性油气藏, 2023, 35(1): 63-73.
[15] 李国欣, 石亚军, 张永庶, 陈琰, 张国卿, 雷涛. 柴达木盆地油气勘探、地质认识新进展及重要启示[J]. 岩性油气藏, 2022, 34(6): 1-18.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] 旷红伟，高振中，王正允，王晓光. 一种独特的隐蔽油藏——夏9井区成岩圈闭油藏成因分析及其对勘探的启迪[J]. 岩性油气藏, 2008, 20(1): 8 -14 .
[2] 李国军, 郑荣才,唐玉林,汪洋,唐楷. 川东北地区飞仙关组层序- 岩相古地理特征[J]. 岩性油气藏, 2007, 19(4): 64 -70 .
[3] 蔡佳. 琼东南盆地长昌凹陷新近系三亚组沉积相[J]. 岩性油气藏, 2017, 29(5): 46 -54 .
[4] 章惠, 关达, 向雪梅, 陈勇. 川东北元坝东部须四段裂缝型致密砂岩储层预测[J]. 岩性油气藏, 2018, 30(1): 133 -139 .
[5] 付广，刘博，吕延防. 泥岩盖层对各种相态天然气封闭能力综合评价方法[J]. 岩性油气藏, 2008, 20(1): 21 -26 .
[6] 马中良，曾溅辉，张善文，王永诗，王洪玉，刘惠民. 砂岩透镜体油运移过程模拟及成藏主控因素分析[J]. 岩性油气藏, 2008, 20(1): 69 -74 .
[7] 王英民. 对层序地层学工业化应用中层序分级混乱问题的探讨[J]. 岩性油气藏, 2007, 19(1): 9 -15 .
[8] 卫平生, 潘树新, 王建功, 雷　明. 湖岸线和岩性地层油气藏的关系研究 —— 论“坳陷盆地湖岸线控油”[J]. 岩性油气藏, 2007, 19(1): 27 -31 .
[9] 易定红, 石兰亭, 贾义蓉. 吉尔嘎朗图凹陷宝饶洼槽阿尔善组层序地层与隐蔽油藏[J]. 岩性油气藏, 2007, 19(1): 68 -72 .
[10] 杨占龙, 彭立才, 陈启林, 郭精义, 李在光, 黄云峰. 吐哈盆地胜北洼陷岩性油气藏成藏条件与油气勘探方向[J]. 岩性油气藏, 2007, 19(1): 62 -67 .

陇ICP备17006252号
版权所有© 2018 中国石油集团西北地质研究所有限公司《岩性油气藏》编辑部

地址：甘肃省兰州市城关区雁儿湾路535号(陇ICP备17006252号)    电话：0931-8686158;8686058;8686288    邮箱：yxyqc@petrochina.com.cn

甘公网安备 62010202002827号

本系统由北京玛格泰克科技发展有限公司设计开发