杨勇,李伟,唐放,张团,崔传智,钱银,吴忠维
YANG Yong,LI Wei,TANG Fang,ZHANG Tuan,CUI Chuanzhi,QIAN Yin,WU Zhongwei

• 1:中海石油(中国)有限公司深圳分公司
• 2:中国石油大学(华东)非常规油气开发教育部重点实验室

摘要(Abstract)：

南海东部水驱砂岩油藏一般采用直井和水平井共同开发，井网密度计算存在困难，传统的采收率经验公式不适用，因此亟需建立适用于海上油田的采收率预测模型。运用数值模拟与回归分析方法，建立水平井与直井井数折算比计算模型，然后基于采收率主控因素分析结果，使用多元回归，得到南海东部水驱砂岩油藏采收率预测模型。研究表明：当流度一定时，边水油藏、底水油藏的采收率随等效井网密度增加呈现出先增加快后增加慢的规律，当井网密度增加到3口/km2时采收率增加幅度明显降低；当等效井网密度不变时，边水油藏、底水油藏的采收率随流度的增加而增加，且边水油藏采收率的增幅要小于底水油藏。实例验证表明，预测模型计算结果与实际采收率的相对误差均在5%以内，该模型具较高的预测精度。
Waterflooding sandstone reservoirs in eastern South China Sea are generally developed mutually by vertical wells and horizontal wells.It is difficult to calculate well pattern density and traditional empirical formula of recovery factor is not applicable.Therefore,it is urgent to establish a recovery factor prediction model suitable for offshore oilfields.With the help of numerical simulation and regression analysis,calculation model of conversion ratio of numbers of horizontal and vertical wells are established.And then,based on analysis of main controlling factors of recovery,multiple regression is used to obtain prediction model of water flooded sandstone reservoirs in eastern South China Sea. The results show that when fluidity is constant,with increase of equivalent well pattern density,recovery factors of edge water reservoir and bottom water reservoir increase rapidly at first and then slowly.When well pattern density increases to 3 wells/km2,incremental recovery factor decreases significantly.When equivalent well pattern density is constant,recovery factors of the above 2 types of reservoirs increase with the increase of mobility,and increment of edge water reservoir is less than that of bottom water reservoir. Case verification shows that relative error of recovery between calculation by prediction model and actual recovery is less than 5%,proving high accuracy of this model.

关键词(KeyWords)： 南海东部;砂岩油藏;等效井数折算比;采收率预测;回归分析
eastern South China Sea;sandstone reservoir;conversion ratio of equivalent number of wells;recovery prediction;regression analysis

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目“致密油藏多段压裂水平井时空耦合流动模拟及参数优化方法”（51974343）;; 山东省青岛市博士后应用研究项目“致密油藏体积压裂支撑剂分布模拟与参数优化研究”（qdyy20200084）

作者(Author): 杨勇,李伟,唐放,张团,崔传智,钱银,吴忠维
YANG Yong,LI Wei,TANG Fang,ZHANG Tuan,CUI Chuanzhi,QIAN Yin,WU Zhongwei

DOI: 10.19597/j.issn.1000-3754.202108015

参考文献(References)：

• [1]王凤兰，沙宗伦，罗庆，等.大庆油田特高含水期开发技术的进步与展望[J].大庆石油地质与开发，2019,38(5):51-58.WANG Fenglan,SHA Zonglun,LUO Qing,et al.Progress and prospects of the developing techniques in ultra-high water-cut period of Daqing Oilfield[J].Petroleum Geology&Oilfield Development in Daqing,2019,38(5):51-58.
• [2]袁庆峰，朱丽莉，陆会民，等.水驱油田晚期开发特征及提高采收率主攻方向[J].大庆石油地质与开发，2019,38(5):34-40.YUAN Qingfeng, ZHU Lili, LU Huimin, et al. Development characteristics and main tackled EOR research direction for the waterflooded oilfield at the late stage[J].Petroleum Geology&Oilfield Development in Daqing,2019,38(5):34-40.
• [3] MAHMOUD A A,ELKATATNY S,CHEN W,et al.Estimation of oil recovery factor for water drive sandy reservoirs through applications of artificial intelligence[J].Energies,2019,12(19),1-13.
• [4]李伟，唐放，侯博恒，等.基于神经网络的南海东部砂岩油藏采收率预测方法[J].油气藏评价与开发，2021,11(5):730-735.LI Wei,TANG Fang,HOU Boheng,et al.A method for oil recovery prediction of sandstone reservoirs in the eastern South China Sea based on neural network[J].Petroleum Reservoir Evaluation and Development,2021,11(5):730-735.
• [5]张维易，李百莹，陈增辉，等.海上层状油藏油井水驱采出程度预测[J].特种油气藏，2016,23(3):118-121.ZHANG Weiyi,LI Baiying,CHEN Zenghui,et al.Waterflooding recovery degree forecast of production wells in offshore layered reservoir[J]. Special Oil&Gas Reservoirs, 2016, 23(3):118-121.
• [6]鲁瑞彬，刘双琪，胡琳，等.水驱砂岩油田动态采收率计算新方法[J].西安石油大学学报（自然科学版），2019,34(4):60-66.LU Ruibin,LIU Shuangqi,HU Lin,et al.A new method for calculating dynamic recovery factor of water-flooding sandstone oilfield[J].Journal of Xi’an Shiyou University(Natural Science Edition),2019,34(4):60-66.
• [7]冯沙沙，王亚会，李伟，等.南海东部砂岩油藏采收率经验公式的确定[J].石油化工应用，2015,34(1):74-77.FENG Shasha,WANG Yahui,LI Wei,et al.The determination of recovery factor empirical formula in Nanhai east sandstone reservoirs[J]. Petrochemical Industry Application, 2015, 34(1):74-77.
• [8]崔传智，徐建鹏，王端平，等.特高含水阶段新型水驱特征曲线[J].石油学报，2015,36(10):1267-1271.CUI Chuanzhi, XU Jianpeng, WANG Duanping, et al. A new water flooding characteristic curve at ultra-high water cut stage[J].Acta Petrolei Sinica,2015,36(10):1267-1271.
• [9]杨栋.ST油藏产量递减规律及提高采收率对策研究[D].成都：西南石油大学，2017.YANG Dong. Study on the law of oil production decline and the countermeasures of improving oil recovery in ST reservoir[D].Chengdu:Southwest Petroleum University,2017.
• [10]王瑞，袁士宝，王建，等.复杂断块油藏注采耦合技术提高采收率机理[J].大庆石油地质与开发，2018,37(6):38-42.WANG Rui, YUAN Shibao, WANG Jian, et al.Mechanism of the injection-production coupling technique for complex faultblock oil reservoirs[J].Petroleum Geology&Oilfield Development in Daqing,2018,37(6):38-42.
• [11]程林松，李春兰.利用直井产能计算分支水平井产能的方法[J].大庆石油地质与开发，1998,17(3):27-28,31.CHENG Linsong,LI Chunlan.Branch horizontal well productivity calculating method by straight wells[J]. Petroleum Geology&Oilfield Development in Daqing,1998,17(3):27-28,31.
• [12]张连枝，程时清，于海丽.一种改进的水平井井网密度计算方法[J].科学技术与工程，2013,13(3):569-572,579.ZHANG Lianzhi,CHENG Shiqing,YU Haili.An improved method of horizontal well spacing density[J]. Science Technology and Engineering,2013,13(3):569-572,579.
• [13] GIGER F M.Low-permeability reservoirs development using Horizontal Wells[R].SPE 16406-MS,1987.