渤海典型多层砂岩油藏中高含水期定向井产能预测新方法
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摘要
产能预测是油田开发过程中一项十分重要的基础研究。然而,为兼顾油田的开发成本与开采效果,海上油田一般采用多层合注合采的开发模式,导致多层开采下产能预测十分困难,特别是中高含水期逐步暴露出层间、层内和平面的三大矛盾后的产能预测。以地质、油藏、测井、钻完井等多专业相融合为突破口,采用"单因素解析多因素耦合"的研究思路,系统总结了中高含水期产能预测的主控因素:宏观上,受沉积环境、成岩作用和成藏过程中的差异充注等地质因素控制;微观上,受油水渗流、流场分布和压力变化等开发因素影响;同时,产能与工程因素的完井方式相关。通过建立由多元主控因素定量耦合的产能预测模型,形成了一套系统的海上多层砂岩油藏定向井中高含水期产能预测新方法,并通过目标油田实际投产井的验证,表明新的预测方法准确度较高,精度达到89%。
Productivity prediction is an important basic research in reservoir engineering.Because of both production cost and production effect,multilayer commingled production generally used in offshore oilfield leads to difficulty in productivity prediction especially the prediction after water breakthrough.This paper,starting from the multi-disciplinary research of geology engineering,reservoir engineering,well logging,drilling and completion engineering,employs the single factor analysis and multi-factor coupling as research thinking technique and then,summarizes the main control forecast in medium high water-cut stage of production factors.Macroscopically,the productivity is affected by geological factors such as sedimentary environment,diagenesis and differential oil charge in oil-trapping process,while microscopically,the productivity is influenced by development factors such as oil water two-phase flow,flow field change and pressure distribution.At the same time,productivity is in correlation with completion method.Finally,a system of productivity prediction method about directional well in offshore multiple-sand reservoir at medium-high water-cut stage is formed by establishing aproductivity prediction model quantatively coupled bymultiple controlling factors.The actual operation of this method in the target well production shows that the new evaluation method is highly accurate,with the prediction accuracy up to 89%.
Productivity prediction is an important basic research in reservoir engineering.Because of both production cost and production effect,multilayer commingled production generally used in offshore oilfield leads to difficulty in productivity prediction especially the prediction after water breakthrough.This paper,starting from the multi-disciplinary research of geology engineering,reservoir engineering,well logging,drilling and completion engineering,employs the single factor analysis and multi-factor coupling as research thinking technique and then,summarizes the main control forecast in medium high water-cut stage of production factors.Macroscopically,the productivity is affected by geological factors such as sedimentary environment,diagenesis and differential oil charge in oil-trapping process,while microscopically,the productivity is influenced by development factors such as oil water two-phase flow,flow field change and pressure distribution.At the same time,productivity is in correlation with completion method.Finally,a system of productivity prediction method about directional well in offshore multiple-sand reservoir at medium-high water-cut stage is formed by establishing aproductivity prediction model quantatively coupled bymultiple controlling factors.The actual operation of this method in the target well production shows that the new evaluation method is highly accurate,with the prediction accuracy up to 89%.
引文
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[20]胡罡.计算水驱油藏体积波及系数的新方法[J].石油勘探与开发,2013,40(1):103-106.
[21]张金庆.一种简单实用的水驱特征曲线[J].石油勘探与开发,1998,25(3):56-57.
[2]孙彦达,王永卓.大庆外围低渗透油田产能预测影响因素[J].石油勘探与开发,2001,28(6):73-76.
[3]刘洪平,赵彦超,孟俊,等.压裂水平井产能预测方法研究综述[J].地质科技情报,2015,34(1):131-139.
[4]刘之的,赵靖舟,高秋涛.利用MDT资料预测油气产能[J].地质科技情报,2013,32(1):163-166.
[5]黄世军,康博韬,程林松,等.海上普通稠油油藏多层合采层间干扰定量表征与定向井产能预测[J].石油勘探与开发,2015,42(4):488-495.
[6]何军,范子菲,胡永乐,等.考虑多因素影响的低渗气藏气井产能预测新方法[J].地质科技情报,2014,33(5):156-159.
[7]汪周华,王子敦,郭平,等.地层压力和产水对低渗透气藏气井产能的影响[J].地质科技情报,2016,35(4):133-138.
[8]罗宪波,赵春明,刘英,等.海上稠油油田投产初期产能评价研究[J].断块油气田,2011,18(5):630-633.
[9]杨思玉,胡永乐,蒋漫旗,等.新油田生产能力确定方法[J].石油勘探与开发,2008,35(6):750-754.
[10]毛志强,李进福.油气层产能预测方法及模型[J].石油学报,2000,21(5):58-61.
[11]郭太现,刘春成,吕洪志,等.蓬莱19-3油田地质特征[J].石油勘探与开发,2001,28(2):26-28.
[12]何顺利,郑祥克,魏俊之.沉积微相对单井产能的控制作用[J].石油勘探与开发,2002,29(4):72-73.
[13]赵澄林.渤海湾盆地早第三纪陆源碎屑岩相古地理学[M].北京:石油工业出版社,1997:1-20.
[14]吴胜和,曾溅辉,林双运,等.层间干扰与油气差异充注[J].石油实验地质,2003,25(3):285-289.
[15]朱九成,郎兆新,张丽华,等.射孔油井产率比计算模型[J].石油勘探与开发,1995,22(5):65-69.
[16]Cinco-Ley H,Ramey H J Jr,Miller F G.Pseudo-skin factors for partially penetrating directionally drilled wells[R].SPE5589-MS,1975.
[17]Besson J.Performance of slanted and horizontal wells on an anisotropic medium[R].SPE 20965-MS,1990.
[18]Vandervlis A C,Duns H,Luque R F.Increasing well productivity in tight Chalk reservoirs[M].Bucharest:WPC,1979:71-78.
[19]刘彦成,罗宪波,康凯,等.陆相多层砂岩油藏渗透率表征与定向井初期产能预测:以蓬莱19-3油田为例[J].石油勘探与开发,2017,44(1):97-103.
[20]胡罡.计算水驱油藏体积波及系数的新方法[J].石油勘探与开发,2013,40(1):103-106.
[21]张金庆.一种简单实用的水驱特征曲线[J].石油勘探与开发,1998,25(3):56-57.