快速预测储层敏感性新方法
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摘要
敏感性评价是探索储层损害程度,认识储层损害规律的重要环节,它的目的就在于科学地改造和开发油田,保护储层,以便充分发挥储层的产能。探讨了单相关分析和多元回归方法预测储层敏感性的优缺点,着重分析了二者结合预测敏感性的原理,并建立了预测海拉尔地区储层敏感性的模型。为了方便计算与应用,运用VB语言研制出一套软件,用该软件结合单相关分析和多元回归方法预测储层敏感性,其准确率能够达到85%,满足了油气层敏感性预测的需要。相对单一的预测方法,二者结合的预测结果有明显改善,并且该方法计算简单、适用性强、物理意义明确。
Reservoir sensitivity evaluation is an important link to explore the extent of the damage and understand the law of formation damage.Its purpose is to transform and develop oilfields scientifically and to protect reservoirs so as to give full play to the reservoir capacity.The paper discusses the merits and faults of simple correlation analysis and multiple regression methods in predicting reservoir sensitivity.It focuses on analysis of the sensitivity prediction principle with combination of the two methods.The model is established for reservoir sensitivity prediction in Hailar region.In order to calculate and apply conveniently,VB language is used to develop a set of software which combined with simple correlation analysis and multiple regression methods.The accuracy can reach 85% and meet the needs of reservoir sensitivity prediction.Comparing with the single method,the combination,which is simple,applicability,clear physical meaning,improved the prediction results obviously.
Reservoir sensitivity evaluation is an important link to explore the extent of the damage and understand the law of formation damage.Its purpose is to transform and develop oilfields scientifically and to protect reservoirs so as to give full play to the reservoir capacity.The paper discusses the merits and faults of simple correlation analysis and multiple regression methods in predicting reservoir sensitivity.It focuses on analysis of the sensitivity prediction principle with combination of the two methods.The model is established for reservoir sensitivity prediction in Hailar region.In order to calculate and apply conveniently,VB language is used to develop a set of software which combined with simple correlation analysis and multiple regression methods.The accuracy can reach 85% and meet the needs of reservoir sensitivity prediction.Comparing with the single method,the combination,which is simple,applicability,clear physical meaning,improved the prediction results obviously.
引文
[1]徐同台、赵敏、熊友明等,保护油气层技术[M],石油工业出版社,2003:36-38.
[2]王清华,改进的灰色模型在储层敏感性预测中的应用[J],钻井液与完井液,2008,25(4):31-33.
[3]M.Dadashpour,R.Rwechungura and J.Kleppe.Fast reser-voir parameter estimation by using effect of principal compo-nents sensitivities and discrete cosine transform.SPE141913-MS,2011,P1-15.
[4]郑德如,回归分析和相关分析[M],上海市:上海人民出版社,1984:5-24,90-100.
[5](美)贝达物(J.S.Bendat),(美)皮尔索(A.G.Piersol)著,凌福根译,相关分析和谱分析的工程应用[M],北京市:国防工业出版社,1983:41-47.
[6]何晓群编著,实用回归分析[M],北京市:高等教育出版社,2008:19-40.
[7]曹文方,大学毕业生就业工资影响因素的线性回归分析[J],赤峰学院学报(自然科学版),2010,26(2):93-95.
[8]陈家鼎、孙山泽、李东风等编著,数理统计学讲义[M],北京市:高等教育出版社,2007,201-255.
[9]叶正荣、樊世忠、杨普华,综合运用BP网络和优化算法建立储层敏感性预测模型[J],钻井液与完井液,2000,l7(3):9-13.
[10]李景英,应用多元回归分析法分析土壤因子对杉木生长的影响,南昌水利学报[J],1994,13(1):46-50.
[11]A.Kalantari-Dahaghi,S.D Mohaghegh.Numerical Simula-tion and Multiple Realizations for Sensitivity Study of Shale Gas Reservoirs.SPE141058-MS,2011,P1-11.
[12]孙建孟,、李召成、谭未一,用单相关分析法快速预测储层敏感性[J],钻井液与完井液,1999,l6(1):1-5.
[13]夏海英、兰林、董波,液体欠平衡钻井中的储层损害研究[J],钻井液与完井液,2009,26(5):27-28.
[14]孙树强编著,保护油气层技术[M],东营市:石油大学出版社,2005:13-31.
[15]王松、胡三清、刘罡,低孔低渗储层敏感性快速预测软件的研究[J],钻采工艺,2003,27(2):35-37.
[16]李良川、王在明、徐小峰,LYM油田东一段强水敏感性储层保护技术[J],钻井液与完井液,2009,26(5):24-26.
[17]孙玉学、闫晶、金磊,大庆古龙南地区储层潜在损害研究[J],大庆石油地质与开发,2009,28(3):28-31.
[18]田荣剑、罗健生、王楠等,钻井完井液储层损害室内评价关键技术[J],钻井液与完井液.2010,27(6):16-19.
[19]张作清、韩克宁、于代国,应用支持向量机方法预测储层敏感性[J],测井技术,2005,29(4):35-37.
[20]赵军、祁兴中、赵伟新等,储层敏感性的测井评价方法及其应用[J],钻井液与完井液,2007,24(5):47-48.
[2]王清华,改进的灰色模型在储层敏感性预测中的应用[J],钻井液与完井液,2008,25(4):31-33.
[3]M.Dadashpour,R.Rwechungura and J.Kleppe.Fast reser-voir parameter estimation by using effect of principal compo-nents sensitivities and discrete cosine transform.SPE141913-MS,2011,P1-15.
[4]郑德如,回归分析和相关分析[M],上海市:上海人民出版社,1984:5-24,90-100.
[5](美)贝达物(J.S.Bendat),(美)皮尔索(A.G.Piersol)著,凌福根译,相关分析和谱分析的工程应用[M],北京市:国防工业出版社,1983:41-47.
[6]何晓群编著,实用回归分析[M],北京市:高等教育出版社,2008:19-40.
[7]曹文方,大学毕业生就业工资影响因素的线性回归分析[J],赤峰学院学报(自然科学版),2010,26(2):93-95.
[8]陈家鼎、孙山泽、李东风等编著,数理统计学讲义[M],北京市:高等教育出版社,2007,201-255.
[9]叶正荣、樊世忠、杨普华,综合运用BP网络和优化算法建立储层敏感性预测模型[J],钻井液与完井液,2000,l7(3):9-13.
[10]李景英,应用多元回归分析法分析土壤因子对杉木生长的影响,南昌水利学报[J],1994,13(1):46-50.
[11]A.Kalantari-Dahaghi,S.D Mohaghegh.Numerical Simula-tion and Multiple Realizations for Sensitivity Study of Shale Gas Reservoirs.SPE141058-MS,2011,P1-11.
[12]孙建孟,、李召成、谭未一,用单相关分析法快速预测储层敏感性[J],钻井液与完井液,1999,l6(1):1-5.
[13]夏海英、兰林、董波,液体欠平衡钻井中的储层损害研究[J],钻井液与完井液,2009,26(5):27-28.
[14]孙树强编著,保护油气层技术[M],东营市:石油大学出版社,2005:13-31.
[15]王松、胡三清、刘罡,低孔低渗储层敏感性快速预测软件的研究[J],钻采工艺,2003,27(2):35-37.
[16]李良川、王在明、徐小峰,LYM油田东一段强水敏感性储层保护技术[J],钻井液与完井液,2009,26(5):24-26.
[17]孙玉学、闫晶、金磊,大庆古龙南地区储层潜在损害研究[J],大庆石油地质与开发,2009,28(3):28-31.
[18]田荣剑、罗健生、王楠等,钻井完井液储层损害室内评价关键技术[J],钻井液与完井液.2010,27(6):16-19.
[19]张作清、韩克宁、于代国,应用支持向量机方法预测储层敏感性[J],测井技术,2005,29(4):35-37.
[20]赵军、祁兴中、赵伟新等,储层敏感性的测井评价方法及其应用[J],钻井液与完井液,2007,24(5):47-48.