岩性油气藏 ›› 2018, Vol. 30 ›› Issue (5): 109–115.doi: 10.12108/yxyqc.20180513

• 油气田开发 • 上一篇    下一篇

砾岩油藏水驱开发潜力分级评价

王振鹏, 陈民锋, 尹承哲   

  1. 中国石油大学(北京)石油工程学院, 北京 102249
  • 收稿日期:2018-03-23 修回日期:2018-05-09 出版日期:2018-09-14 发布日期:2018-09-14
  • 第一作者:王振鹏(1994-),男,中国石油大学(北京)在读硕士研究生,研究方向为油田开发系统理论与方法。地址:(102249)北京市昌平区府学路18号中国石油大学。Email:wangzp_7@126.com
  • 通信作者: 陈民锋(1971-),男,博士,副教授,主要从事油气田开发与提高采收率方面的研究与教学工作。Email:cmfllp96@126.com。
  • 基金资助:
    国家重大科技专项课题子课题“油气资产价值评估体系研究”（编号：2016ZX05033-005-007）资助

Development potential classification evaluation for water-flooding in conglomerate reservoir

WANG Zhenpeng, CHEN Minfeng, YIN Chengzhe   

  1. College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China
  • Received:2018-03-23 Revised:2018-05-09 Online:2018-09-14 Published:2018-09-14

PDF (PC)

534

摘要： 砾岩油藏岩性复杂、非均质性强，为了解决注水开发过程中储层动用程度差异较大等问题，基于砾岩油藏的地质和开发特点，在综合考虑储层非均质性、储层剩余储量和油相流动能力的基础上，建立了砾岩油藏水驱开发潜力评价指标集，进而根据油田的开发动态变化特点，以不同面积单元为研究对象，应用模糊C均值聚类算法对不同单元的开发潜力进行无监督分级，建立了一种客观、合理的综合评价方法。该方法应用于新疆BH油田的开发潜力分级评价，所得的评价结果与油田地质和开发状况（呈区域性分布的特点）相符。其结果有助于分区实施开发调整措施。

关键词: 砾岩油藏, 注水开发, 开发潜力, 多因素评价, 模糊聚类算法

Abstract: In conglomerate reservoir,the lithology is complex and its heterogeneity is strong,which results in great differences of the utilization of reserves during water-flooding and so on. To solve these problems,based on the geological and development features of the conglomerate reservoir,the water-flooding development potential evaluation indicators system was set up considering heterogeneity,remaining reserve and flowing capacity of fluid. Then,on account of the characteristics of development performance in the actual oilfield,by taking the areal unit as the study object,development potential of different units can be classified in an unsupervised way through fuzzy C mean clustering method,which helps set up a subjective and reasonable evaluation method. This method was used to evaluate the development potential of BH oilfield in Xinjiang,and the results are consistent with the characteristics of the geological and development condition distributed regionally in BH oilfield,it is useful for implementing different adjustments in different regions. Furthermore,combined with different features of different potential regions,the corresponding development adjustment advice can be proposed.

Key words: conglomerate reservoir, water-flooding development, development potential, multi-factor evaluation, fuzzy clustering method

中图分类号: 

  • TE341
[1] 吕建荣,谭锋奇,许长福,等.拉玛依砾岩油藏储层分类特征及水驱油规律.东北石油大学学报,2015,39(4):21-30. LYU J R,TAN F Q,XU C F,et al. Reservoir classification characteristics and water displaced oil laws of conglomerate reservoir in Karamay oilfield. Journal of Northeast Petroleum University, 2015,39(4):21-30.
[2] 马峥,张春雷,高世臣.主成分分析与模糊识别在岩性识别中的应用.岩性油气藏,2017,29(5):127-133. MA Z,ZHANG C L,GAO S C. Lithology identification based on principal component analysis and fuzzy recognition. Lithologic Reservoirs,2017,29(5):127-133.
[3] 杨希濮,杨小丽,刘钧,等.一体化储层精细分类方法在非均质储层定量表征中的应用. 岩性油气藏,2017,29(1):124-129. YANG X P,YANG X L,LIU J,et al. Application of integrated reservoir classification method to the quantitative characterization of heterogeneity reservoir. Lithologic Reservoirs,2017,29(1):124-129.
[4] 方辉煌,宫云鹏,张娅婷.基于灰色模糊理论的页岩气储层评价——以重庆南川地区龙马溪组页岩为例. 岩性油气藏, 2016,28(5):76-81. FANG H H,GONG Y P,ZHANG Y T. Evaluation of shale gas reservoirs based on gray fuzzy theory:a case study from Longmaxi formation in Nanchuan area, Chongqing. Lithologic Reservoirs,2016,28(5):76-81.
[5] 谭锋奇,李洪奇,许长福,等.基于聚类分析方法的砾岩油藏储层类型划分.地球物理学进展,2012,27(1):246-254. TAN F Q,LI H Q,XU C F,et al. Reservoir classification of conglomerate reservoir base on clustering analysis method. Progress in Geophysics,2012,27(1):246-254.
[6] 张琪琛,陈民锋,乔聪颖,等.基于模糊C均值聚类的油水井稳油控水能力分类评价.中国海上油气,2016,28(6):66-71. ZHANG Q C,CHEN M F,QIAO C Y,et al. Oil and water well classification and evaluation of the capacity of stabilizing oil production and controlling water based on fuzzy C-mean. China Offshore Oil and Gas,2016,28(6):66-71.
[7] 冯国庆,张烈辉,沈勇伟,等.应用模糊聚类分析方法评价油藏质量.西南石油学院学报,2004,26(3):33-36. FENG G Q,ZHANG L H,SHEN Y W,et al. Reservoir quality evaluation by fuzzy clustering analysis method. Journal of Southwest Petroleum Institute,2004,26(3):33-36.
[8] 殷代印,项俊辉,王东琪.大庆油田长垣外围特低渗透扶杨油层综合分类.岩性油气藏,2018,30(1):150-154. YIN D Y,XIANG J H,WANG D Q. Classification of Fuyang oil reservoir with ultra-low permeability around placanticline of Daqing Oilfield. Lithologic Reservoirs,2018,30(1):150-154.
[9] 侯健,陈月明,赵红兵,等.特高含水油藏综合调整效果的模糊评价方法.中国石油大学学报(自然科学版),2007,31(4):70-73. HOU J,CHEN Y M,ZHAO H B,et al. Fuzzy evaluation method of reservoir comprehensive adjustment effect in ultra-high water cut stage. Journal of China University of Petroleum(Natural Science Edition),2007,31(4):70-73.
[10] 姚约东,雍洁,朱黎明,等.砂砾岩油藏采收率的影响因素与预测.石油天然气学报,2010,32(4):108-113. YAO Y D,YONG J,ZHU L M,et al. Prediction and influential factors of recovery efficiency in sand-gravel reservoirs. Journal of Oil and Gas Technology,2010,32(4):108-113.
[11] 朱龙权,粟娥,彭明超,等.低渗透砾岩油藏注水开发效果综合评价. 重庆科技学院学报(自然科学版),2015,17(5):56-58. ZHU L Q,LI E,PENG M C,et al. The evaluation methods on water flooding effectiveness in low permeability conglomerate reservoir development. Journal of Chongqing University of Science and Technology(Natural Science Edition),2015,17(5):56-58.
[12] 邹妞妞,张大权,钱海涛,等.准噶尔盆地玛北斜坡区扇三角洲砂砾岩储层主控因素.岩性油气藏,2016,28(4):24-33. ZOU N N,ZHANG D Q,QIAN H T,et al. Main controlling factors of glutenite reservoir of fan delta in Mabei slope,Junggar Basin. Lithologic Reservoirs,2016,28(4):24-33.
[13] 苏彦春,王月杰,缪飞飞. 水驱砂岩油藏开发指标评价新体系.中国海上油气,2015,27(3):60-65. SU Y C,WANG Y J,MIAO F F. A new evaluation system for water flooding sandstone reservoirs. China Offshore Oil and Gas, 2015,27(3):60-65.
[14] 武毅,肖红林.辽河油田低渗油藏水驱开发潜力评价标准建立.特种油气藏,2012,19(6):91-94. WU Y,XIAO H L. The establishment of evaluation criteria of water flooding development potential in low permeability reservoirs of Liaohe Oilfield. Special Oil and Gas Reservoirs,2012, 19(6):91-94.
[15] 马奎前,黄安琪,陈民锋.基于可拓理论的海上油田注采效率综合评价. 陕西科技大学学报,2017,35(2):103-109. MA K Q,HUANG A Q,CHEN M F. Comprehensive evaluation injection-production efficiency in offshore oilfield based on extension theory. Journal of Shaanxi University of Science & Technology,2017,35(2):103-109.
[16] SIENA M,GUAD A,DELLA R E,et al. A novel enhanced-oilrecovery screening approach based on Bayesian clustering and principal-component analysis. SPE Reservoir Evaluation & Engineering,2016,19(3):382-390.
[17] 武小红,周建江.可能性模糊C-均值聚类新算法.电子学报, 2008(10):1996-2000. WU X H,ZHOU J J. A novel possibilistic fuzzy C-means clustering. Acta Electronica Sinica,2008(10):1996-2000.
[18] 丁帅伟,姜汉桥,陈民锋,等.基于模糊C均值聚类算法和贝叶斯判别函数研究深水油藏分类评价.西安石油大学学报, 2014,29(2):43-49. DING S W,JIANG H Q,CHEN M F,et al. Classification and evaluation of deep water oil reservoirs by combining clustering algorithm based on fuzzy C-mean with Bayesian discrimination function. Journal of Xi'an Petroleum University,2014,29(2):43-49.
[19] 曲福恒,崔广才.模糊聚类算法及应用.北京:国防工业出版社,2011:61-66. QU F H,CUI G C. Fuzzy clustering algorithm and its application. Beijing:National Defense Industry Press,2011:61-66.
[20] 胡浩.基于砂体结构的剩余油挖潜调整措施研究.岩性油气藏,2016,28(4):113-120. HU H. Adjustment measures of remaining oil tapping based on sand body structure. Lithologic Reservoirs,2016,28(4):113-120.
[21] SERIGHT R,ZHANG G,AKANNI O,et al. A comparison of polymer flooding with in-depth profile modification. Journal of Canadian Petroleum Technology,2011,51(5):393-402.
[22] 覃建华,周锡生,唐春荣,等.克拉玛依砾岩油藏高含水区块井网加密潜力.新疆石油地质,2010,31(3):269-272. QIN J H,ZHOU X S,TANG C R,et al. The potentials of well pattern infill development of high water-cut blocks in Karamay conglomerate reservoirs. Xinjiang Petroleum Geology,2010,31(3):269-272.
[1] 尹路, 许多年, 乐幸福, 齐雯, 张继娟. 准噶尔盆地玛湖凹陷三叠系百口泉组储层特征及油气成藏规律[J]. 岩性油气藏, 2024, 36(1): 59-68.
[2] 陈静, 陈军, 李卉, 努尔艾力·扎曼. 准噶尔盆地玛中地区二叠系—三叠系叠合成藏特征及主控因素[J]. 岩性油气藏, 2021, 33(1): 71-80.
[3] 曹旭升, 韩昀, 张继卓, 罗志伟. 渗吸效应对裂缝性低渗砾岩油藏开发的影响——以玛湖乌尔禾组储层为例[J]. 岩性油气藏, 2020, 32(4): 155-162.
[4] 安杰, 唐梅荣, 曹宗熊, 王文雄, 陈文斌, 吴顺林. 超低渗透低压油藏水平井转变开发方式试验[J]. 岩性油气藏, 2019, 31(5): 134-140.
[5] 周焱斌, 何逸凡, 章威, 张吉磊, 杨磊. 海上注水开发油田单井经济极限含水率分析[J]. 岩性油气藏, 2019, 31(3): 130-134.
[6] 曹茜, 王志章, 王野, 张栋梁, 公言杰, 邹开真, 樊太亮. 砂砾岩储层分布非均质性和质量非均质性研究——以克拉玛依油田五2东区克上组为例[J]. 岩性油气藏, 2018, 30(2): 129-138.
[7] 李传亮，朱苏阳. 水驱油效率可达到 100%[J]. 岩性油气藏, 2016, 28(1): 1-5.
[8] 陈玉琨，王延杰，朱亚婷，刘红现，周玉辉，闫家宁 . 克拉玛依油田七东1 区克下组冲积扇储层构型表征[J]. 岩性油气藏, 2015, 27(5): 92-97.
[9] 伊 伟1，熊先钺1，王 伟1，刘 玲2. 鄂尔多斯盆地合阳地区煤层气赋存特征研究[J]. 岩性油气藏, 2015, 27(2): 38-45.
[10] 徐豪飞，马宏伟，尹相荣，赵旭斌，刘学功，赖南君. 新疆油田超低渗透油藏注水开发储层损害研究[J]. 岩性油气藏, 2013, 25(2): 100-106.
[11] 李标，唐海，吕栋梁，刘鹏超，王联国. 米吸水指数随累积注水量变化规律研究[J]. 岩性油气藏, 2012, 24(1): 112-116.
[12] 徐春梅，张荣，马丽萍，罗必林. 注水开发储层的动态变化特征及影响因素分析[J]. 岩性油气藏, 2010, 22(Z1): 89-92.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] . 2022年 34卷 2 期 封面[J]. 岩性油气藏, 2022, 34(2): 0 .
[2] 李在光, 李琳. 以井数据为基础的AutoCAD 自动编绘图方法[J]. 岩性油气藏, 2007, 19(2): 84 -89 .
[3] 程玉红, 郭彦如, 郑希民, 房乃珍, 马玉虎. 井震多因素综合确定的解释方法与应用效果[J]. 岩性油气藏, 2007, 19(2): 97 -101 .
[4] 刘俊田,靳振家,李在光,覃新平,郭　林,王　波,刘玉香. 小草湖地区岩性油气藏主控因素分析及油气勘探方向[J]. 岩性油气藏, 2007, 19(3): 44 -47 .
[5] 商昌亮,付守献. 黄土塬山地三维地震勘探应用实例[J]. 岩性油气藏, 2007, 19(3): 106 -110 .
[6] 王昌勇, 郑荣才, 王建国, 曹少芳, 肖明国. 准噶尔盆地西北缘八区下侏罗统八道湾组沉积特征及演化[J]. 岩性油气藏, 2008, 20(2): 37 -42 .
[7] 王克, 刘显阳, 赵卫卫, 宋江海, 时振峰, 向惠. 济阳坳陷阳信洼陷古近纪震积岩特征及其地质意义[J]. 岩性油气藏, 2008, 20(2): 54 -59 .
[8] 孙洪斌, 张凤莲. 辽河坳陷古近系构造-沉积演化特征[J]. 岩性油气藏, 2008, 20(2): 60 -65 .
[9] 李传亮. 地层抬升会导致异常高压吗?[J]. 岩性油气藏, 2008, 20(2): 124 -126 .
[10] 魏钦廉，郑荣才，肖玲，马国富，窦世杰，田宝忠. 阿尔及利亚438b 区块三叠系Serie Inferiere 段储层平面非均质性研究[J]. 岩性油气藏, 2009, 21(2): 24 -28 .

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