用动态资料分析复杂断块油藏储层特性方法研究
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摘要
动态监测资料在油气田开发过程中一直发挥着重要作用。由于不同测试方法的测量原理、仪器指标、技术特点、适用条件和解决问题的侧重点不同,单一的测试方法已不能满足油田中后期开发的需要。比如常规试井分析,限于模型求解的需要,进行了太多的简化,已经不能适应目前复杂工作。有必要对应用动态监测资料进行储层特征综合研究,提高动态监测资料在储层特性研究方面的适应性。
针对水驱开发面临的水驱低效或无效循环难题,本文结合简捷油藏管理分析系统,在综合利用动态监测资料的基础上对港东二区一复杂断块进行储层分布研究,进而确定目标区块的剩余油分布,并针对结果提出调整措施建议和配套的监测方案。
本文结合油田实际问题,经过研究攻关,以动态监测资料为基础,以建模和数模一体化软件为桥梁,进行复杂断块储层特征综合分析,通过实测动态监测资料与油藏数值模拟相结合,实现单井点到井组及区块的储层特征的精确分析。
本文应用数值试井和生产资料对储层特征进行分析,详细论述了数值试井和生产资料分析中不同的模型对应的不同的表现形式,并建立了对应的模板。结合大港油田的实际工作,运用数值模拟的方法,对储层特征进行反复论证。本文工作量大,涉及技术面广,研究难度大,尽管已取得了一些成果,但在油气藏动态监测技术开发与应用方面还有待进一步深化完善,有待在综合运用动态监测资料对复杂断块油藏储层分布规律分析方面形成完善、成熟、配套和规模应用的能力,为有效治理注水低效、改善水驱开发效果提供技术保障。
All kinds of reservoir monitor information have been playing an important role in oil and gas development. Different types of measuring theory, dissimilar target, distinct technology, diverse qualification, each method emphasis on unique prospect. Single reservoir monitor method couldn’t meet the need of oil and gas development any more.
Specialized on the low efficiency of water drive, using reservoir management system, synthetically using Reservoir monitor data, studying for predicting oil saturation distribution for Gangdong Second Block, based on oil saturation distribution, oil production and water injection relationship and pressure distribution, some plans for development plan and monitor are recommended for Gangdong Second Block synthetical management.
Based on the problem in the development, after details study, geological model based on reservoir description, with the aid of reservoir monitor information, synthetically using Reservoir monitor data, studying for Predicting Oil Saturation Distribution, we developed a good method for predicting reservoir sand distribution. Through reservoir monitor and reservoir numerical simulation, we can not only study the oil saturation distribution for single wells but also for groups of wells and Block, but also qualitative analysis for oil saturation distribution but also quantitative analysis for oil saturation distribution.
This paper covers a large research scope, a lots workload, difficult, though we have made some good result from the research, yet there is much for us waiting ahead, for the reservoir monitor technology development and application, for synthetically using Reservoir monitor data for Predicting Oil Saturation Distribution, which is necessary for the improving for the low efficiency for water drive reservoir development.
针对水驱开发面临的水驱低效或无效循环难题,本文结合简捷油藏管理分析系统,在综合利用动态监测资料的基础上对港东二区一复杂断块进行储层分布研究,进而确定目标区块的剩余油分布,并针对结果提出调整措施建议和配套的监测方案。
本文结合油田实际问题,经过研究攻关,以动态监测资料为基础,以建模和数模一体化软件为桥梁,进行复杂断块储层特征综合分析,通过实测动态监测资料与油藏数值模拟相结合,实现单井点到井组及区块的储层特征的精确分析。
本文应用数值试井和生产资料对储层特征进行分析,详细论述了数值试井和生产资料分析中不同的模型对应的不同的表现形式,并建立了对应的模板。结合大港油田的实际工作,运用数值模拟的方法,对储层特征进行反复论证。本文工作量大,涉及技术面广,研究难度大,尽管已取得了一些成果,但在油气藏动态监测技术开发与应用方面还有待进一步深化完善,有待在综合运用动态监测资料对复杂断块油藏储层分布规律分析方面形成完善、成熟、配套和规模应用的能力,为有效治理注水低效、改善水驱开发效果提供技术保障。
All kinds of reservoir monitor information have been playing an important role in oil and gas development. Different types of measuring theory, dissimilar target, distinct technology, diverse qualification, each method emphasis on unique prospect. Single reservoir monitor method couldn’t meet the need of oil and gas development any more.
Specialized on the low efficiency of water drive, using reservoir management system, synthetically using Reservoir monitor data, studying for predicting oil saturation distribution for Gangdong Second Block, based on oil saturation distribution, oil production and water injection relationship and pressure distribution, some plans for development plan and monitor are recommended for Gangdong Second Block synthetical management.
Based on the problem in the development, after details study, geological model based on reservoir description, with the aid of reservoir monitor information, synthetically using Reservoir monitor data, studying for Predicting Oil Saturation Distribution, we developed a good method for predicting reservoir sand distribution. Through reservoir monitor and reservoir numerical simulation, we can not only study the oil saturation distribution for single wells but also for groups of wells and Block, but also qualitative analysis for oil saturation distribution but also quantitative analysis for oil saturation distribution.
This paper covers a large research scope, a lots workload, difficult, though we have made some good result from the research, yet there is much for us waiting ahead, for the reservoir monitor technology development and application, for synthetically using Reservoir monitor data for Predicting Oil Saturation Distribution, which is necessary for the improving for the low efficiency for water drive reservoir development.
引文
[1]陆大卫,王春利等编著的《剩余油饱和度测井评价新技术》.北京:石油工业出版社,2003.
[2]赵改善.油藏动态监测技术的发展与展望:时延地震[J].勘探地球物理进展,2005,28(3):157-167.
[3]谢俊.剩余油饱和度平面分布方法研究及应用.西安石油学院学报.1998. Vol.13.No.4
[4]童宪章.油井产状和动态分析.北京:石油工业出版社.1979
[5]刘立明,陈钦雷.试井理论发展的新方向—数值试井[J ] .油气井测试,2001.
[6]庄惠农.气藏动态描述和试井[M] .北京:石油工业出版社,2004.
[7]胡建国,张栋杰.《油气藏工程实用预测方法文集》.北京:石油工业出版社,2002
[8]陈玉祥,张汉亚.预测技术与应用.北京:机械工业出版社,1985
[9] Kuchuk, F.J.,“Well Testing and Interpretation for Horizontal Wells”, Paper SPE 25232. A softbound anthology, SPE Distinguished Author Series: Dec. 1981-Dec. 1983, is available from SPE’s Book Order Dep.
[10] Biswas, D., Suryanarayana, P.V., Frink, P.J. and Rahman, S.,“An Improved Model to Predict Reservoir Characteristics During Underbalanced Drilling”, Paper SPE 84176 presented at the SPE Annual Technical Conference and Exhibition held in Denver, Colorado, U.S.A., 5-8 October 2003.
[11] Fraim, M.L. and Wattenbarger, R. A.,“Gas Reservoir Decline-Curve Analysis Using Type Curves with Real Gas Pseudo-pressure and Normalized Time”, SPEFE, Dec, (1987), 671-682.
[12] J. J. Arps: Analysis of Decline Curves, Trans. AIME(1945) 160,P. 228-247
[13] Carter, R.D.:"Type Curves for Finite Radial and Linear Gas-Flow Systems: Constant– Terminal– Pressure - Case", SPEJ (October 1985)
[14] Fraim,M.L., and Wattenbarger,R.A.:"Gas Reservoir Decline-Curve Analysis Using Type Curve With Real Gas Pseudo-pressure and Normalized Time", SPEFE (December 1987)
[15] Palacio, J.C. and Blasingame, T.A.:"Decline Curve Analysis Using Type-Curves: Analysis of Gas Well Production Data", paper SPE25909, (1993)
[16]王晓冬.产量预测模型.北京地质大学,内部报告,2000
[17]朱亚东,高珉.预测油气产量和可采储量的F模型.石油勘探与开发.2000,27(1):54-56
[18]朱冰静,朱宪辰.预测原理与方法.上海:交通大学出版社,1991
[19]Doublet, L.E. and Blasingame, T.A:“Decline Curve Analysis Using Tpye Curves: Waterflood Cases,”Paper SPE 30774 precented at the 1995 Annual SPE Technical Conference and Exhibition, Dallas, TX, 22-25 October.
[20] M. A. Mian: J-Sand(tight) Performance Predicted by Type Curves, OGJ(May 30,1983) P. 109-112
[21] Al-Hussainy, R. and Ramey, H.J. Jr.,“Application of Real Gas Flow Theory to Well Testing and Deliverability Forecasting”, J.Pet. Tech (May 1966) 637-642; Trans., AIME, 237.
[22]胡建国,陈元千,张盛宗.预测油气田产量的新模型.石油学报,1995,16(1):79-86
[23]吴新根,葛家理.应用人工神经网络预测油田产量.石油勘探与开发,1994,21(3):75-78
[24]胡建国,陈元千.预测油气田产量和可采储量新模型.低渗透油气田
[25] Fetkovich, M.J.:"Decline-Curve Analysis Using Type Curves", JPT (June 1980)
[26] Fetkovich, M.J.:"Decline-Curve Analysis Using Type Curves-Case Histories", SPEFE (December 1987)
[27]韩大匡等.油藏数值模拟基础.北京:石油工业出版社.1993
[28]穆龙新,黄石岩,贾爱林.油藏描述新技术-中国石油天然气总公司油气田开发工作会议文集[C].北京:石油工业出版社,1996,1-10.
[29]Hearn C L,Ebanks W J Jr,Tye R S,et al.Geological factors influencing reservoir performance of the Hartwg Draw Field,Wgoming [J].Journal of Petroleum Technology,1984,36(8):1335-1344.
[30]张奇斌,李进旺,王晓东,张同义.水驱油藏大孔道综合识别.第一版.北京:石油工业出版社,2009:3.
[31]甘利灯,姚逢昌,杜文辉,等.水驱油藏四维地震技术[J].石油勘探与开发.2007,34(4):437-443.
[32]陈月明.水驱油田高含水期稳产措施宏观决策方法.第一版.东营:石油大学出版社,20066: 8.
[33] F. F. Craig, Jr: The Reservoir Engineering Aspects of Water-flooding,Chapter 3, 1971
[34] Thakur G C. Waterflood surveillance techniques-a reservoir management approach : Journal of Petroleum Technology.1996.Vol.43.No.10
[35]张士奇.卢炳俊.张美玲.林丽丽水淹储层大孔道存在的分析与识别[J],大庆石油地质与开发2008(6).
[36]孟凡顺.孙铁军.朱炎.冯庆付利用常规测井资料识别砂岩储层大孔道方法研究[J],中国海洋大学学报(自然科学版),2007(03).
[37]王祥,夏竹君,张宏伟等利用注水剖面测井资料识别大孔道的方法研究[J],2002, 26(02).
[38]刘月田,孙保利,于永生.大孔道模糊识别与定量计算方法[J ] .石油钻采工艺, 2003 , 25 (5) .
[39]肖慈,杨斌.利用测井录井信息识别水淹层[ J ] .测井技术,1998 , 22 (4).
[40]韩志明,王宪成,李胜军.高含水期水淹层解释方法研究[J ] .测井技术, 2000 , 24 (5) .
[41]赵改善.油藏动态监测技术的发展与展望:时延地震[J].勘探地球物理进展,2005,28(3):157-167.
[42]王炯.低渗透砂岩油藏剩余油整体监测研究[D].中国博士学位论文全文数据库,2008,(08),15-19
[2]赵改善.油藏动态监测技术的发展与展望:时延地震[J].勘探地球物理进展,2005,28(3):157-167.
[3]谢俊.剩余油饱和度平面分布方法研究及应用.西安石油学院学报.1998. Vol.13.No.4
[4]童宪章.油井产状和动态分析.北京:石油工业出版社.1979
[5]刘立明,陈钦雷.试井理论发展的新方向—数值试井[J ] .油气井测试,2001.
[6]庄惠农.气藏动态描述和试井[M] .北京:石油工业出版社,2004.
[7]胡建国,张栋杰.《油气藏工程实用预测方法文集》.北京:石油工业出版社,2002
[8]陈玉祥,张汉亚.预测技术与应用.北京:机械工业出版社,1985
[9] Kuchuk, F.J.,“Well Testing and Interpretation for Horizontal Wells”, Paper SPE 25232. A softbound anthology, SPE Distinguished Author Series: Dec. 1981-Dec. 1983, is available from SPE’s Book Order Dep.
[10] Biswas, D., Suryanarayana, P.V., Frink, P.J. and Rahman, S.,“An Improved Model to Predict Reservoir Characteristics During Underbalanced Drilling”, Paper SPE 84176 presented at the SPE Annual Technical Conference and Exhibition held in Denver, Colorado, U.S.A., 5-8 October 2003.
[11] Fraim, M.L. and Wattenbarger, R. A.,“Gas Reservoir Decline-Curve Analysis Using Type Curves with Real Gas Pseudo-pressure and Normalized Time”, SPEFE, Dec, (1987), 671-682.
[12] J. J. Arps: Analysis of Decline Curves, Trans. AIME(1945) 160,P. 228-247
[13] Carter, R.D.:"Type Curves for Finite Radial and Linear Gas-Flow Systems: Constant– Terminal– Pressure - Case", SPEJ (October 1985)
[14] Fraim,M.L., and Wattenbarger,R.A.:"Gas Reservoir Decline-Curve Analysis Using Type Curve With Real Gas Pseudo-pressure and Normalized Time", SPEFE (December 1987)
[15] Palacio, J.C. and Blasingame, T.A.:"Decline Curve Analysis Using Type-Curves: Analysis of Gas Well Production Data", paper SPE25909, (1993)
[16]王晓冬.产量预测模型.北京地质大学,内部报告,2000
[17]朱亚东,高珉.预测油气产量和可采储量的F模型.石油勘探与开发.2000,27(1):54-56
[18]朱冰静,朱宪辰.预测原理与方法.上海:交通大学出版社,1991
[19]Doublet, L.E. and Blasingame, T.A:“Decline Curve Analysis Using Tpye Curves: Waterflood Cases,”Paper SPE 30774 precented at the 1995 Annual SPE Technical Conference and Exhibition, Dallas, TX, 22-25 October.
[20] M. A. Mian: J-Sand(tight) Performance Predicted by Type Curves, OGJ(May 30,1983) P. 109-112
[21] Al-Hussainy, R. and Ramey, H.J. Jr.,“Application of Real Gas Flow Theory to Well Testing and Deliverability Forecasting”, J.Pet. Tech (May 1966) 637-642; Trans., AIME, 237.
[22]胡建国,陈元千,张盛宗.预测油气田产量的新模型.石油学报,1995,16(1):79-86
[23]吴新根,葛家理.应用人工神经网络预测油田产量.石油勘探与开发,1994,21(3):75-78
[24]胡建国,陈元千.预测油气田产量和可采储量新模型.低渗透油气田
[25] Fetkovich, M.J.:"Decline-Curve Analysis Using Type Curves", JPT (June 1980)
[26] Fetkovich, M.J.:"Decline-Curve Analysis Using Type Curves-Case Histories", SPEFE (December 1987)
[27]韩大匡等.油藏数值模拟基础.北京:石油工业出版社.1993
[28]穆龙新,黄石岩,贾爱林.油藏描述新技术-中国石油天然气总公司油气田开发工作会议文集[C].北京:石油工业出版社,1996,1-10.
[29]Hearn C L,Ebanks W J Jr,Tye R S,et al.Geological factors influencing reservoir performance of the Hartwg Draw Field,Wgoming [J].Journal of Petroleum Technology,1984,36(8):1335-1344.
[30]张奇斌,李进旺,王晓东,张同义.水驱油藏大孔道综合识别.第一版.北京:石油工业出版社,2009:3.
[31]甘利灯,姚逢昌,杜文辉,等.水驱油藏四维地震技术[J].石油勘探与开发.2007,34(4):437-443.
[32]陈月明.水驱油田高含水期稳产措施宏观决策方法.第一版.东营:石油大学出版社,20066: 8.
[33] F. F. Craig, Jr: The Reservoir Engineering Aspects of Water-flooding,Chapter 3, 1971
[34] Thakur G C. Waterflood surveillance techniques-a reservoir management approach : Journal of Petroleum Technology.1996.Vol.43.No.10
[35]张士奇.卢炳俊.张美玲.林丽丽水淹储层大孔道存在的分析与识别[J],大庆石油地质与开发2008(6).
[36]孟凡顺.孙铁军.朱炎.冯庆付利用常规测井资料识别砂岩储层大孔道方法研究[J],中国海洋大学学报(自然科学版),2007(03).
[37]王祥,夏竹君,张宏伟等利用注水剖面测井资料识别大孔道的方法研究[J],2002, 26(02).
[38]刘月田,孙保利,于永生.大孔道模糊识别与定量计算方法[J ] .石油钻采工艺, 2003 , 25 (5) .
[39]肖慈,杨斌.利用测井录井信息识别水淹层[ J ] .测井技术,1998 , 22 (4).
[40]韩志明,王宪成,李胜军.高含水期水淹层解释方法研究[J ] .测井技术, 2000 , 24 (5) .
[41]赵改善.油藏动态监测技术的发展与展望:时延地震[J].勘探地球物理进展,2005,28(3):157-167.
[42]王炯.低渗透砂岩油藏剩余油整体监测研究[D].中国博士学位论文全文数据库,2008,(08),15-19