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Digital Production Optimization Boost for North Caspian Field With 3-PhaseReal-Time Downhole Flow Metering System From Enhanced IntelligentCompletion

机译:3- Phaseral-Time Downhole Flow测光系统的北方山羊场数字生产优化提升智能计算

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For the first time,one of the Russian oil company empowered to change standard approach to wellproduction optimization by using a new generation of intelligent completion technology-the all-electricalsystem with fine inflow control and downhole flow characteristics measurements that were previouslyunavailable in real time.The experience of optimization approach,which is unique for both the Russianand the world oil industry,is described in this article.The standard approach to well optimization was time consuming and,in some cases,associated withcomprehensive testing and well interventions.The new approach allows testing and optimization of wells inreal-time within shortest period with no production logging,well shutoffs and production loss,and allowsto obtain phase rates and fractional composition of the flow for each well interval.The described technique was consistently introduced and improved by x-segment specialists fromproduction and science departments.Accumulated real time data and special downhole testing made itpossible to obtain a unique knowledge about zonal flow behavior during various stages of well operationsstable work,well testing,build ups,shut offs,well starts,clean ups and optimizations.The new technique at this stage allows:1.Optimize well clean-up;2.Introduce new well testing procedure with minimum production,3.Minimize interventions;4.Reduce time for full well optimization cycle to 2 days;5.Introduce procedure for well shut-in preparation for wells with high GOR and watercuts;6.Minimize cost and risks associated with interventions,zonal testing,optimizations.Background for the described technique introduction are innovative scientific research and experimentswith the aim of obtaining fractional composition and phase rates in real time with a minimum set ofdownhole sensors.The article describes the theoretical foundations of the approach,innovative areas ofresearch and methodology for improving the models and applied correlations.Scientific solutions coupled with implementation of advanced completion technologies,machine learningmethods,as well as depth of field experience have improved the approach to solving well optimizationchallenges of wells on the North Caspian field.The experience gained from the first three wells was usedto expand the technological and interpretation capabilities of the described solutions.The one of the key advantages of proposed optimization methodology applied on wells with presentedtechnological equipment is simplicity and elegancy of approach.The total number of downhole valveposition change during various operations for three wells exceeded 1500 within less than 1 year of operationtime.To the moment,the methodology,the experience gained,the results of the approach implementation areunique for the oil industry.The presented technologies and digital solutions make it possible to improvewell management strategy significantly and,of course,will be interesting to engineers of field managementdepartment.
机译:首次首次使用新一代智能完成技术 - 通过新的流入控制和井下流动特性测量来改变智能完成技术的标准方法,以改变实际智能完成技术的标准方法。本文介绍了俄罗斯人的优化方法的经验,这是世界石油工业的独特。在这篇文章中描述了俄罗斯石油行业的独特。在某些情况下,井井优化的标准方法是耗时的,并且在某些情况下,与融合测试和良好的干预措施相关。新方法允许测试在最短时期内的井内空间的优化,没有生产测井,井关闭和生产损失,并且允许施加每个井间隔的流量和分数组成。通过X段专家始终介绍和改善了所描述的技术从生产和科学部门。累计实时数据和特殊的井下测试使其可以在经运行的工作中的各个阶段获得关于区域流动行为的独特知识,测试,建立UPS,关闭,良好的开始,清理起来和优化。此阶段的新技术允许:1。优化良好的清理; 2.介绍了最低生产的新井测试程序,3.提出干预措施; 4.已经为全井优化周期进行了时间到2天; 5.智慧井中的步骤,为高福尔提供良好的井井和西葫芦; 5.提高与干预措施,区间测试,优化相关的成本和风险。用于所描述的技术的介绍是创新的科学研究和实验,其目的是实时获得分数组成和相速率,最小套筒传感器。文章介绍了改进模型和应用相关性的方法的理论基础,创新的研究和方法。加上先进的完工技术,机器学习方法以及现场经验的深度加上了解决方案经验的深度,提高了北方山寨井上井井优化挑战的方法。从前三个井中获得的经验是扩大技术和解释所描述的解决方案的能力。提出的优化方法的主要优点之一在展示技术设备上应用的井上是简单和优雅的方法。在不到1年内,三个井的各种操作中的井下valveposition变化的总数超过1500操作时间。到那一刻,方法,获得的经验,进一步实施的成果,为石油行业实施了。本技术和数字解决方案使得能够显着提高管理策略,当然会对工程师有趣Field ManagementDepartme. NT。

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