Lithologic Reservoirs ›› 2018, Vol. 30 ›› Issue (5): 109-115.doi: 10.12108/yxyqc.20180513
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WANG Zhenpeng, CHEN Minfeng, YIN Chengzhe
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[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. |
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