环江油田长6储层基于多元回归分析的产能评价
|
摘要
环江油田长6储层具有低孔隙度、特低-超低渗透率的特征,非均质性强,产能预测难度大。利用研究区内11口井的测井资料,对有效层段的测井解释孔隙度、渗透率及含油饱和度进行多种方法的平均化处理,筛选出最大值,分析单井日产量与各测井参数的相关关系,引入表征储层非均质性的定量评价参数进行回归分析,建立了多元线性回归的产能预测模型。结果表明,利用孔隙度、渗透率、含油饱和度的最大值,以及有效厚度、突进系数、变异系数、级差,多参数组合与单井日产量进行回归分析得到的相关性最好,复相关系数0.970。建立的回归公式对新井的产能具有很好的预测效果,为油田产能评价提供依据。
The reservoirs in Chang 6 Formation of Huanjiang Oilfield have the characteristics of low porosity, extra and ultra-low permeability, and strong heterogeneity, which lead to the difficult prediction of production capacity. The well logging data of 11 wells in the study area were used to average the porosity, permeability and oil saturation of the effective interval, and the maximum value of them were selected. In addition, the correlation between daily production of single well and various logging parameters was analyzed, and quantitative evaluation parameters for reservoir heterogeneity were introduced for regression analysis. Based on these works, a productivity prediction model for multiple linear regression was established. The results showed that the combination of porosity, permeability, maximum oil saturation, effective thickness, penetration coefficient, coefficient of variation, and gradation has the best correlation with the daily production of single well, and the multiple correlation coefficient factor reached to 0.970. The established regression formula has a good prediction effect on the productivity of new wells and provides a basis for the productivity evaluation of oilfields.
The reservoirs in Chang 6 Formation of Huanjiang Oilfield have the characteristics of low porosity, extra and ultra-low permeability, and strong heterogeneity, which lead to the difficult prediction of production capacity. The well logging data of 11 wells in the study area were used to average the porosity, permeability and oil saturation of the effective interval, and the maximum value of them were selected. In addition, the correlation between daily production of single well and various logging parameters was analyzed, and quantitative evaluation parameters for reservoir heterogeneity were introduced for regression analysis. Based on these works, a productivity prediction model for multiple linear regression was established. The results showed that the combination of porosity, permeability, maximum oil saturation, effective thickness, penetration coefficient, coefficient of variation, and gradation has the best correlation with the daily production of single well, and the multiple correlation coefficient factor reached to 0.970. The established regression formula has a good prediction effect on the productivity of new wells and provides a basis for the productivity evaluation of oilfields.
引文
[1] 黄力,何顺利,张小霞,等.超低渗透储层产能主要影响因素确定方法研究[J].科学技术与工程,2010,10(30):7408-7413.HUANG Li,HE Shunli,ZHANG Xiaoxia,et al.Research on determination of the main factors influencing the oil well productivity of ultra low permeability reservoir [J].Science Technology and Engineering,2010,10(30):7408-7413.
[2] 郑爱维,李继庆,卢文涛,等.涪陵页岩气田分段压裂水平井非稳态产能评价方法[J].油气井测试,2018,27(1):22-30.ZHENG Aiwei,LI Jiqing,LU Wentao,et al.Unsteady productivity evaluation method of multi-stage fractured horizontal well for shale gas in Fuling shale gas field [J].Well Testing,2018,27(1):22-30.
[3] 李陈,夏朝辉,汪萍,等.致密砂岩气藏分段压裂水平井产能预测方法研究与应用[J].油气井测试,2016,25(2):25-27.LI Chen,XIA Zhaohui,WANG Ping,et al.Study and application of production capacity forecast with multistage fracturing to horizontal well in tight sand gas reservoir [J].Well Testing,2016,25(2):25-27.
[4] 李勇明,周文武,赵金洲,等.低渗透油藏水平井分段压裂半解析产能计算与影响因素研究[J].油气藏评价与开发,2018,8(2):52-57.LI Yongming,ZHOU Wenwu,ZHAO Jinzhou,et al.Semi-analytical productivity calculation and sensitive factors for the multi-stage fractured horizontal well in low permeability reservoirs [J].Reservoir Evaluation and Development,2018,8(2):52-57.
[5] 黎小伟,谭成仟,龙慧.A油田测井产能预测评价方法研究[J].国外测井技术,2012(1):26-28.LI Xiaowei,TAN Chengqian,LONG Hui.Study on the evaluation method of well logging productivity prediction in A Oilfield [J].World Well Logging Technology,2012(1):26-28.
[6] 赵楠,梁玉凯,蒋利平,等.未测试储层产能预测方法及应用——以WS1-5油田为例[J].油气井测试,2015,24(2):38-40.ZHAO Nan,LIANG Yukai,JIANG Liping,et al.A productivity prediction method and its application for no well testing formation——Taking WS1-5 Oilfield as an example [J].Well Testing,2015,24(2):38-40.
[7] 许立全,李秀生.不同产能评价方法的对比分析[J].油气井测试,2005,14(6):15-17.XU Liquan,LI Xiusheng.Comparative analysis of different deliverability evaluation methods [J].Well Testing,2005,14(6):15-17.
[8] 严丽,王燕,范树平.多元回归分析方法预测川东北礁滩相储层产能[J].新疆石油天然气,2011,7(4):37-40.YAN Li,WANG Yan,FAN Shuping.Output prediction of reef-bank facies in northeastern Sichuan Basin using multiple regression analysis [J].Xinjiang Oil & Gas,2011,7(4):37-40.
[9] 尹鹏,魏俊,张志军,等.考虑多因素的低渗透气藏压裂井产能公式分析[J].油气藏评价与开发,2018,8(1):34-37,43.YIN Peng,WEI Jun,ZHANG Zhijun,et al.Analysis of low permeability gas reservoir fracturing well productivity equation considering multi-factors [J].Reservoir Evaluation and Development,2018,8(1):34-37,43.
[10] 徐会林,王新海,魏少波.利用多参数组合产能系数预测安83井区长7储层的产能方法研究[J].油气井测试,2016,25(1):9-12.XU Huilin,WANG Xinhai,WEI Shaobo.A Research method to predict the capacity based on the combination of multi-parameter productivity index in the Chang7 Formation of An 83 Block [J].Well Testing,2016,25(1):9-12.
[11] 汤述安,郑泽忠,朱学波.多元回归分析在油气产能预测中的应用[J].科技创新导报,2008(21):169-171.TANG Shu′an,ZHENG Zezhong,ZHU Xuebo.Appli-cation of multiple regression analysis in oil and gas productivity prediction [J].Science and Technology Inno-vation Herald,2008(21):169-171.
[12] 胡高贤,龚福华.多元回归分析在低渗透油藏产能预测中的应用[J].油气田地面工程,2010,29(12):23-25.HU Gaoxian,GONG Fuhua.Application of multiple regression analysis in productivity prediction of low permeability reservoir [J].Oil-Gasfield Surface Engineering,2010,29(12):23-25.
[13] 龙慧,吴晓明,胡海涛,等.环江油田长4+5油层组特征及测井产能评价[J].石油天然气学报,2012,34(11):93-99.LONG Hui,WU Xiaoming,HU Haitao,et al.The reservoir features and logging capacity evaluation of Chang 4+5 reservoir in Huanjiang Oilfield [J].Journal of Oil and Gas Technology,2012,34(11):93-99.
[14] 张艺荣,龙慧.环江油田长6储层特征及其影响因素分析[J].石油化工应用,2012,31(10):66-71.ZHANG Yirong,LONG Hui.Reservoir characteristics and influencing factors of Chang6 reservoir in Huanjiang Oilfield [J].Pethochemical Industry Application,2012,31(10):66-71.
[15] 高伟,孙佳才,张同伍,等.鄂尔多斯盆地环江地区长8储层沉积微相特征及油气富集规律研究[J].天然气勘探与开发,2014,37(2):15-20.GAO Wei,SUN Jiacai,ZHANG Tongwu,et al.Sedimentary microfacies characteristics and hydrocarbon accumulation regularity of Chang 8 sandstone in Huanjiang Area,Ordos Basin [J].Natural Gas Exploration & Development,2014,37(2):15-20.
[16] 关利群,屈红军,胡春花,等.安塞油田H区长6油层组储层非均质性与含油性关系研究[J].岩性油气藏,2010,22(3):26-37.GUAN Liqun,QU Hongjun,HU Chunhua,et al.The relationship of heterogeneity and oil-bearing property of Chang 6 reservoir at H area in Ansai Oilfield [J].Lithologic Reservoirs,2010,22(3):26-37.
[17] 武文玉.渗透率级差对渤海非均质储层空气泡沫驱油效果影响[J].精细石油化工进展,2018,19(1):18-20,24.WU Wenyu.Effect of permeability differential on oil flooding of air foam in homogeneous reservoir in Bohai Oilfield [J].Advances in Fine Petrochemicals,2018,19(1):18-20,24.
[2] 郑爱维,李继庆,卢文涛,等.涪陵页岩气田分段压裂水平井非稳态产能评价方法[J].油气井测试,2018,27(1):22-30.ZHENG Aiwei,LI Jiqing,LU Wentao,et al.Unsteady productivity evaluation method of multi-stage fractured horizontal well for shale gas in Fuling shale gas field [J].Well Testing,2018,27(1):22-30.
[3] 李陈,夏朝辉,汪萍,等.致密砂岩气藏分段压裂水平井产能预测方法研究与应用[J].油气井测试,2016,25(2):25-27.LI Chen,XIA Zhaohui,WANG Ping,et al.Study and application of production capacity forecast with multistage fracturing to horizontal well in tight sand gas reservoir [J].Well Testing,2016,25(2):25-27.
[4] 李勇明,周文武,赵金洲,等.低渗透油藏水平井分段压裂半解析产能计算与影响因素研究[J].油气藏评价与开发,2018,8(2):52-57.LI Yongming,ZHOU Wenwu,ZHAO Jinzhou,et al.Semi-analytical productivity calculation and sensitive factors for the multi-stage fractured horizontal well in low permeability reservoirs [J].Reservoir Evaluation and Development,2018,8(2):52-57.
[5] 黎小伟,谭成仟,龙慧.A油田测井产能预测评价方法研究[J].国外测井技术,2012(1):26-28.LI Xiaowei,TAN Chengqian,LONG Hui.Study on the evaluation method of well logging productivity prediction in A Oilfield [J].World Well Logging Technology,2012(1):26-28.
[6] 赵楠,梁玉凯,蒋利平,等.未测试储层产能预测方法及应用——以WS1-5油田为例[J].油气井测试,2015,24(2):38-40.ZHAO Nan,LIANG Yukai,JIANG Liping,et al.A productivity prediction method and its application for no well testing formation——Taking WS1-5 Oilfield as an example [J].Well Testing,2015,24(2):38-40.
[7] 许立全,李秀生.不同产能评价方法的对比分析[J].油气井测试,2005,14(6):15-17.XU Liquan,LI Xiusheng.Comparative analysis of different deliverability evaluation methods [J].Well Testing,2005,14(6):15-17.
[8] 严丽,王燕,范树平.多元回归分析方法预测川东北礁滩相储层产能[J].新疆石油天然气,2011,7(4):37-40.YAN Li,WANG Yan,FAN Shuping.Output prediction of reef-bank facies in northeastern Sichuan Basin using multiple regression analysis [J].Xinjiang Oil & Gas,2011,7(4):37-40.
[9] 尹鹏,魏俊,张志军,等.考虑多因素的低渗透气藏压裂井产能公式分析[J].油气藏评价与开发,2018,8(1):34-37,43.YIN Peng,WEI Jun,ZHANG Zhijun,et al.Analysis of low permeability gas reservoir fracturing well productivity equation considering multi-factors [J].Reservoir Evaluation and Development,2018,8(1):34-37,43.
[10] 徐会林,王新海,魏少波.利用多参数组合产能系数预测安83井区长7储层的产能方法研究[J].油气井测试,2016,25(1):9-12.XU Huilin,WANG Xinhai,WEI Shaobo.A Research method to predict the capacity based on the combination of multi-parameter productivity index in the Chang7 Formation of An 83 Block [J].Well Testing,2016,25(1):9-12.
[11] 汤述安,郑泽忠,朱学波.多元回归分析在油气产能预测中的应用[J].科技创新导报,2008(21):169-171.TANG Shu′an,ZHENG Zezhong,ZHU Xuebo.Appli-cation of multiple regression analysis in oil and gas productivity prediction [J].Science and Technology Inno-vation Herald,2008(21):169-171.
[12] 胡高贤,龚福华.多元回归分析在低渗透油藏产能预测中的应用[J].油气田地面工程,2010,29(12):23-25.HU Gaoxian,GONG Fuhua.Application of multiple regression analysis in productivity prediction of low permeability reservoir [J].Oil-Gasfield Surface Engineering,2010,29(12):23-25.
[13] 龙慧,吴晓明,胡海涛,等.环江油田长4+5油层组特征及测井产能评价[J].石油天然气学报,2012,34(11):93-99.LONG Hui,WU Xiaoming,HU Haitao,et al.The reservoir features and logging capacity evaluation of Chang 4+5 reservoir in Huanjiang Oilfield [J].Journal of Oil and Gas Technology,2012,34(11):93-99.
[14] 张艺荣,龙慧.环江油田长6储层特征及其影响因素分析[J].石油化工应用,2012,31(10):66-71.ZHANG Yirong,LONG Hui.Reservoir characteristics and influencing factors of Chang6 reservoir in Huanjiang Oilfield [J].Pethochemical Industry Application,2012,31(10):66-71.
[15] 高伟,孙佳才,张同伍,等.鄂尔多斯盆地环江地区长8储层沉积微相特征及油气富集规律研究[J].天然气勘探与开发,2014,37(2):15-20.GAO Wei,SUN Jiacai,ZHANG Tongwu,et al.Sedimentary microfacies characteristics and hydrocarbon accumulation regularity of Chang 8 sandstone in Huanjiang Area,Ordos Basin [J].Natural Gas Exploration & Development,2014,37(2):15-20.
[16] 关利群,屈红军,胡春花,等.安塞油田H区长6油层组储层非均质性与含油性关系研究[J].岩性油气藏,2010,22(3):26-37.GUAN Liqun,QU Hongjun,HU Chunhua,et al.The relationship of heterogeneity and oil-bearing property of Chang 6 reservoir at H area in Ansai Oilfield [J].Lithologic Reservoirs,2010,22(3):26-37.
[17] 武文玉.渗透率级差对渤海非均质储层空气泡沫驱油效果影响[J].精细石油化工进展,2018,19(1):18-20,24.WU Wenyu.Effect of permeability differential on oil flooding of air foam in homogeneous reservoir in Bohai Oilfield [J].Advances in Fine Petrochemicals,2018,19(1):18-20,24.