逐步判别分析方法在新北油田水淹层识别中的应用
|
摘要
针对新北油田近几年老区调整井投产后含水较高,测井水淹层解释结果与实际符合率(75. 4%)较低这一问题,基于油层水淹后在测井响应引起变化的主要指标,应用逐步判别分析方法,建立了包含0. 5 m电阻率、声波时差和含油饱和度三项重要指标的判别函数来判别油层水淹级别。建立的判别函数经回判检验和F检验,效果显著。将研究成果应用于新北油田12口老区调整井的水淹层识别,解释结果与实际符合率达到91. 7%,提高了水淹层识别的精度。研究成果对新北油田今后调整井的水淹层识别具有重要指导意义。
There are high water cut after adjustment wells being put into production in maturing oilfield and low coincidence rate( 75. 4%) of logging interpretation with the actual fact. In response to the above problems,we introduce stepwise discrimination analysis which needs optimized parameters related to the watered-out and establish discrimination function of water flooded hierarchy. Regression testing and F-testing show that the established function has significant effect. The research results have been applied to identify the water flooded zone of 12 adjustment wells in Xinbei Oilfield.The result shows that the water flooded hierarchy identified by the function agrees with the actual and the coincidence rate has reached to 91. 7%,improving the identification accuracy of water flooded zone. The research results are significant to the later water flooded zone identification of adjustment wells in Xinbei Oilfield.
There are high water cut after adjustment wells being put into production in maturing oilfield and low coincidence rate( 75. 4%) of logging interpretation with the actual fact. In response to the above problems,we introduce stepwise discrimination analysis which needs optimized parameters related to the watered-out and establish discrimination function of water flooded hierarchy. Regression testing and F-testing show that the established function has significant effect. The research results have been applied to identify the water flooded zone of 12 adjustment wells in Xinbei Oilfield.The result shows that the water flooded hierarchy identified by the function agrees with the actual and the coincidence rate has reached to 91. 7%,improving the identification accuracy of water flooded zone. The research results are significant to the later water flooded zone identification of adjustment wells in Xinbei Oilfield.
引文
[1]刘红歧,陈平,夏宏泉,等.新立低渗透油田水淹特征及识别方法研究[J].西南石油大学学报,2007,29(2):65-67。
[2]宋子齐,赵磊,王瑞飞,等.利用常规测井方法识别划分水淹层[J].2013,18(6):50-54.
[3]高印军.水淹层测井解释技术研究与应用[J].2001,28(5):42-45.
[4]王月莲,宋新民.按流动单元建立测井储集层解释模型[J],石油勘探与开发,2002,29(3)53-55.
[5]梁杰锋,黄郑,付晓燕,等.低渗透油藏流动单元划分及水淹层识别[J],大庆石油地质与开发,2009,28(6):104-109.
[6]施尚明,翟志伟,朱焕来,等.升平油田葡萄花油层水淹层识别及评价方法研究[J].科学技术与工程,2010,10(31):7637-7643.
[7]张洪军,高月刚,王学生,等.安塞特低渗透油藏水淹识别方法及应用[J].复杂油气藏,2015,8(4):49-52.
[8]于志钧,赵旭东.石油数学地质[M].北京:石油工业出版社,1986:42-59.
[9]田方,杨永发,麻平社,等.逐步判别分析方法在鄂尔多斯盆地油田的应用[J].国外测井技术,2005,20(1):40-43.
[10]韩学辉,支乐菲,李峰弼,等.应用Bayes逐步判别分析方法识别辛东油田沙四段储层流体性质[J].地球物理学进展,2011,26(4):1243-1248.
[11]卢文喜,李俊,于福荣,等.逐步判别分析方法在筛选水质评价因子中的应用[J].吉林大学学报(地球科学版),2009,39(1):126-130.
[12]段新国,王允诚,李忠权,等.应用多组逐步判别分析优选油气层[J].大庆石油地质与开发,2007,26(1):68-71.
[13]彭寿昌,许长福,张强,等.低渗透砾岩油藏含油饱和度解释及水淹层评价[J].特种油气藏,2015,22(6):108-110.
[14]王安龙,郭海敏,王磊,等.模糊聚类判别综合分析法识别和划分水淹层方法研究[J].国外测井技术,2010,10(176):18-21.
[15]文得进,张占松.利用Fisher判别技术识别火山岩油层[J].石油天然气学报,2010,32(3):96-99.
[16]廖太平,张福荣.一种基于模糊神经网络的水淹层识别方法[J].断块油气田,2004,11(2):45-47.
[17]王雅春,田春阳,张振伟,等.多总体逐步判别分析法在复杂油水层识别中的应用[J].大庆石油学院学报,2010,34(2):26-32.
[18]马福军,李楠,季世侠.新立油田压裂增产量预测模型的建立及应用[J].特种油气藏,2017,24(3):86-89.
[2]宋子齐,赵磊,王瑞飞,等.利用常规测井方法识别划分水淹层[J].2013,18(6):50-54.
[3]高印军.水淹层测井解释技术研究与应用[J].2001,28(5):42-45.
[4]王月莲,宋新民.按流动单元建立测井储集层解释模型[J],石油勘探与开发,2002,29(3)53-55.
[5]梁杰锋,黄郑,付晓燕,等.低渗透油藏流动单元划分及水淹层识别[J],大庆石油地质与开发,2009,28(6):104-109.
[6]施尚明,翟志伟,朱焕来,等.升平油田葡萄花油层水淹层识别及评价方法研究[J].科学技术与工程,2010,10(31):7637-7643.
[7]张洪军,高月刚,王学生,等.安塞特低渗透油藏水淹识别方法及应用[J].复杂油气藏,2015,8(4):49-52.
[8]于志钧,赵旭东.石油数学地质[M].北京:石油工业出版社,1986:42-59.
[9]田方,杨永发,麻平社,等.逐步判别分析方法在鄂尔多斯盆地油田的应用[J].国外测井技术,2005,20(1):40-43.
[10]韩学辉,支乐菲,李峰弼,等.应用Bayes逐步判别分析方法识别辛东油田沙四段储层流体性质[J].地球物理学进展,2011,26(4):1243-1248.
[11]卢文喜,李俊,于福荣,等.逐步判别分析方法在筛选水质评价因子中的应用[J].吉林大学学报(地球科学版),2009,39(1):126-130.
[12]段新国,王允诚,李忠权,等.应用多组逐步判别分析优选油气层[J].大庆石油地质与开发,2007,26(1):68-71.
[13]彭寿昌,许长福,张强,等.低渗透砾岩油藏含油饱和度解释及水淹层评价[J].特种油气藏,2015,22(6):108-110.
[14]王安龙,郭海敏,王磊,等.模糊聚类判别综合分析法识别和划分水淹层方法研究[J].国外测井技术,2010,10(176):18-21.
[15]文得进,张占松.利用Fisher判别技术识别火山岩油层[J].石油天然气学报,2010,32(3):96-99.
[16]廖太平,张福荣.一种基于模糊神经网络的水淹层识别方法[J].断块油气田,2004,11(2):45-47.
[17]王雅春,田春阳,张振伟,等.多总体逐步判别分析法在复杂油水层识别中的应用[J].大庆石油学院学报,2010,34(2):26-32.
[18]马福军,李楠,季世侠.新立油田压裂增产量预测模型的建立及应用[J].特种油气藏,2017,24(3):86-89.