|本期目录/Table of Contents|

[1]朱义东 李 威 王要森 文 星 居字龙 周开金.海上特高含水期油田精细油藏描述技术及应用——以陆丰油田海陆过渡相A油藏为例[J].中国海上油气,2020,32(05):91-99.[doi:10.11935/j.issn.1673-1506.2020.05.011]
 ZHU Yidong LI Wei WANG Yaosen WEN Xing JU Zilong ZHOU Kaijin.Fine reservoir description and its application in offshore ultra-high water-cut oilfields:Taking the marine-continent transitional facies A reservoir of Lufeng oilfield as an example[J].China Offshore Oil and Gas,2020,32(05):91-99.[doi:10.11935/j.issn.1673-1506.2020.05.011]
点击复制

海上特高含水期油田精细油藏描述技术及应用——以陆丰油田海陆过渡相A油藏为例()

《中国海上油气》[ISSN:1673-1506/CN:11-5339/TE]

卷:
第32卷
期数:
2020年05期
页码:
91-99
栏目:
油气田开发(南海东部海域开发成果专辑)
出版日期:
2020-09-25

文章信息/Info

Title:
Fine reservoir description and its application in offshore ultra-high water-cut oilfields:Taking the marine-continent transitional facies A reservoir of Lufeng oilfield as an example
文章编号:
1673-1506(2020)05-0091-09
作者:
朱义东1 李 威1 王要森1 文 星1 居字龙2 周开金1
(1. 中海石油(中国)有限公司深圳分公司 广东深圳 518054; 2. 湖北省地质调查院 湖北武汉 430034 )
Author(s):
ZHU Yidong1 LI Wei1 WANG Yaosen1 WEN Xing1 JU Zilong2 ZHOU Kaijin1
(1. CNOOC China Limited, Shenzhen Branch, Shenzhen, Guangdong 518054, China; 2. Hubei Geological Survey, Wuhan,Hubei 430034, China)
关键词:
特高含水期 精细油藏描述 水平井沿程归位 神经网络预测 油藏参数时变
Keywords:
ultra-high water cut period fine reservoir description horizontal well homing along the way neural network prediction time-varying reservoir parameters
分类号:
TE32+1
DOI:
10.11935/j.issn.1673-1506.2020.05.011
文献标志码:
A
摘要:
为满足强非均质储层高含水后期小尺度、高精度挖潜需求,以陆丰油田海陆过渡相A油藏为例,针对海上油田水平井、高速开发的特点,构建了多资料、多学科融合的一体化精细油藏描述流程,形成了3项关键技术:①基于沉积微相指导的层系细分、充分利用水平井沿程归位信息的精细构造描述技术,实现了3 m以内低幅微构造刻画; ②基于井震相的储层分类及神经网络预测、充分利用测井和试井动静数据的储层精细描述技术,实现了3 m以下泥钙质夹层盲井符合率80%以上; ③基于不同驱替倍数岩心水驱实验、结合不同时期测井数据的油藏参数时变精细模拟技术,模型中过路井饱和度更吻合实钻,生产动态拟合率达93%。依据油藏描述结果,部署了2口调整井,实钻构造误差约2 m,储层钻遇率100%,剩余油分布与模型预测基本一致
Abstract:
In order to enable the small-scale and high-precision tapping potential of high heterogeneous reservoir in its high water cut later development stage, by taking the marine-continent transitional facies A reservoir of Lufeng oilfield as an example, we have established an integrated fine reservoir description process that considers multi-data and multi-discipline according to the characteristics of horizontal wells and high-speed development in offshore oilfields, and further formed three key technologies: ①The fine structure description technology based on the sedimentary microfacies-guided strata subdivision and fully making use of the homing information of horizontal wells has been developed to realize the characterization of low amplitude microstructure of less than 3 m; ②A fine reservoir description technology that stems from the well-seismic facies reservoir classification and neural network prediction, and fully uses the dynamic/static logging and well test data has been formed to achieve a coincidence rate of more than 80% in blind wells with argillaceous/calcareous interlayers of below 3 m; ③Based on the core water flooding experiment under different displacement times and the logging data of different periods, the fine simulation technology of time-varying reservoir parameters has been developed. The saturation of encountered well in the model is more consistent with that of the drilled well, and the fitting rate of production performance reaches 93%. Two adjustment wells were deployed according to the results of reservoir description, the error of drilled structure was about 2 m, the reservoir encountering rate was 100%, and the distribution of remaining oil was basically consistent with the model prediction

参考文献/References:

[1] 付焱鑫,冯梅芳,刘欢,等.高含水油田剩余油分布规律及控制因素分析[J].钻采工艺,2010,33(6):61-63.FU Yanxin,FENG Meifang,LIU Huan,et al.Analysis of residual oil distribution rules and controlling factors in Kumkol oilfield[J].Drilling & Production Technology,2010,33(6):61-63.
[2] 薛永超,程林松,梁卫,等.底水油藏特高含水期剩余油模式及开发对策[J].大庆石油地质与开发,2011,30(3):74-78.XUE Yongchao,CHENG Linsong,LIANG Wei,et al.Remainned oil patterns for reservoir with bottom water at high water-cut stage and development policy[J].Petroleum Geology & Oilfield Development in Daqing,2011,30(3):74-78.
[3] 贾爱林,程立华.数字化精细油藏描述程序方法[J].石油勘探与开发,2010,37(6):709-715.JIA Ailin,CHENG Lihua.The technique of digital detailed reservoir characterization[J].Petroleum Exploration & Development,2010,37(6):709-715.
[4] 谢世文,张伟,李庆明,等.海上油田开发后期多学科集成化剩余油深挖潜[J].中国海上油气,2015,27(5):68-75.DOI:10.11935/j.issn.1673-1506.2015.05.011.XIE Shiwen,ZHANG Wei,LI Qingming,et al.Potential tapping of remaining oil in the late stage of offshore oilfield development based on multidisciplinary integration concept[J].China Offshore Oil and Gas,2015,27(5):68-75.DOI:10.11935/j.issn.1673-1506.2015.05.011.
[5] 甘利灯,戴晓峰,张昕,等.测井-地震-油藏模拟一体化技术及其在老油田挖潜中的应用[J].石油物探,2016,55(5):617-639.GAN Lideng,DAI Xiaofeng,ZHANG Xin,et al.Research and application on well-seismic-reservoir integration technology for mature oilfield development[J].Geophysical Prospecting for Petroleum,2016,55(5):617-639.
[6] 张永庆,陈舒薇,渠永宏,等.多学科综合研究提高大庆油田油藏预测水平[J].石油勘探与开发,2004,31(增刊1):77-81.ZHANG Yongqing,CHEN Shuwei,QU Yonghong,et al.Multiple subject comprehensive studies on improving reservoir forecast level,Daqing oilfield[J].Petroleum Exploration & Development, 2004,31(S1):77-81.
[7] 刘茂果,陈俊杰,郑海亮,等.苏东南区M井区上古储层精细描述及数值模拟研究[J].石油化工应用,2015,34(6):78-80.LIU Maoguo,CHEN Junjie,ZHENG Hailiang,et al.Reservoir precise description and numerical simulation study of the M well areas in upper palaeozoic reservoir of southeast SU gas field[J].Petrochemical Industry Application,2015,34(6):78-80.
[8] 黄飞,彭真明,张晓燕.PNN及其在储层物性参数预测中的应用[J].物探化探计算技术,2003,25(1):78-82.HUANG Fei,PENG Zhenming,ZHANG Xiaoyan.PNN and its application in predicition of reservoir paraments[J].Computing Techniques for Geophysical and Geochemical Exploration,2003,25(1):78-82.
[9] 庞国印,唐俊,王琪,等.利用概率神经网络预测成岩相:以鄂尔多斯盆地合水地区延长组长8段储层为例[J].特种油气藏,2013,20(2):43-47.PANG Guoyin,TANG Jun,WANG Qi,et al.Prediction of diagenetic facies with probabilistic neural network:Taking Member Chang 8 of Heshui area in Ordos basin as an example[J].Special Oil & Gas Reservoirs,2013,20(2):43-47.
[10] 张绍红.概率神经网络技术在地震岩性反演中应用[J].辽宁工程技术大学学报,2007,26(增刊II):16-18.ZHANG Shaohong.Application of probabilistic neual network technique in lihtology inversion of seismic data[J].Journal of Liaoning Technical University,2007,26(S2):16-18.
[11] 王永平,陈建.用泥质含量估算孔隙度的方法探讨[J].国外测井技术,2016,37(6):32-34.WANG Yongping,CHEN Jian.Discussion of porosity estimation method with shale volume[J].World Well Logging Technology,2016,37(6):32-34.
[12] 柴博.测井与试井综合解释模型及其应用研究[D].西安:西安石油大学,2012.
[13] 王清辉,冯进,管耀,等.基于动态资料的低孔低渗砂岩储层渗透率测井评价方法:以陆丰凹陷古近系为例[J].石油学报,2019,40(增刊1):206-216.WANG Qinghui,FENG Jin,GUAN Yao,et al. Permeability logging evaluation method of low-porosity low-permeability sandstone reservoirs based on dynamic data:a case study of Paleogene strata in Lufeng sag[J].Acta Petrolei Sinica,2019,40(S1):206-216.
[14] 中华人民共和国国家质量监督检验检疫总局、中国国家标准化管理委员会.GB/T 28912—2012岩石中两相流体相对渗透率测定方法[S].北京:中国标准出版社,2013.
[15] 彭仕宓,尹旭,张继春,等.注水开发中黏土矿物及其岩石敏感性的演化模式[J].石油学报,2008,27(4):71-75.PENG Shimi,YIN Xu,ZHANG Jichun,et al.Evolutionary pattern of clay mineral and rock sensitivity in water-flooding reservoir[J].Acta Petrolei Sinica,2008,27(4):71-75.
[16] 吴素英,孙国,程会明,等.长期水驱砂岩油藏储层参数变化机理研究[J]油气地质与采收率,2004,11(2):9-11.WU Suying,SUN Guo,Cheng Huiming,et al.Study on the reservoir parameters variation mechanism of sandstone oil reservoir with longterm water drive[J].Petroleum Geology and Recovery Efficiency,2004,11(2):9-11.
[17] 金忠康,方全堂,王磊,等.考虑储集层参数时变效应的数值模拟方法与应用[J].新疆石油地质,2016,37(3):342-345.JIN Zhongkang,FANG Quantang,WANG Lei,et al.Numerical simulation method and its application when considering time-dependent effect of reservoir parameters[J].Xinjiang Petroleum Geology,2016,37(3):342-345.
[18] 许强,陈燕虎,侯玉培,等.特高含水后期油藏时变数值模拟处理方法研究[J].钻采工艺,2015,38(5):41-43.XU Qiang,CHEN Yanhu,HOU Yupei,et al.Research on numerical simulation processing mode based on reservoir time varing physical properties and seepage in extra high water cut stage[J].Drilling & Production Technology,2015,38(5):41-43.

相似文献/References:

备注/Memo

备注/Memo:
收稿日期:2020-03-12 改回日期:2020-05-20 *中海石油(中国)有限公司深圳分公司科研项目“南海在生产油田挖潜技术研究(编号:YXKY-ZL-SZ-2016-04)”部分研究成果。第一作者简介: 朱义东,男,高级工程师,2005年毕业于西南石油学院油气田开发专业并获硕士学位,现从事油气田开发研究及管理工作。地址:深圳市南山区后海滨路3168号中海油大厦A座1313室(邮编:518054)。E-mail:zhuyd@cnooc.com.cn。
更新日期/Last Update: 2020-09-20