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A Rigorous Stochastic Coupling of Reliability and Reservoir Performance When Defining the Value of Intelligent Wells

机译:定义智能井的价值时,可靠性与储层性能之间的严格随机耦合

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Long term equipment reliability frequently controls the Value created by Intelligent Well Technology. One of the barriers to intelligent well deployment is the inability to properly quantify Value terms of the loss of the intelligent system's ability to function properly to achieve the required reservoir or well management objectives. Recent publicised deterministic value calculation of intelligent wells does not permit proper decision making as this workflow frequently underestimates the potential value. In this paper we show a general methodology where a full stochastic reservoir reserve evaluation is coupled to a stochastic (Monte Carlo) reliability analysis of the I-well performance. This value creation is defined on the basis of a realistic mission reliability profiles for a conventional and an intelligent well. The detailed methodology has been tested by modelling the production from a conventional and intelligent completion deployed in a typical North Sea fluvial type reservoir. This new approach to value determination provides the information that forms the basis of a cost-effective, completion design.
机译:长期的设备可靠性经常控制着Intelligent Well Technology创造的价值。智能井部署的障碍之一是无法正确量化智能系统无法正常运行以实现所需油藏或井管理目标的能力丧失的价值术语。由于该工作流经常低估了潜在价值,因此最近公开的智能井确定性价值计算方法无法做出正确的决策。在本文中,我们展示了一种通用的方法,其中将完整的随机油藏储量评估与I井性能的随机(Monte Carlo)可靠性分析相结合。根据常规井和智能井的实际任务可靠性配置文件来定义此价值创造。通过对部署在典型北海河流型储层中的常规智能完井产品进行建模,对详细的方法进行了测试。这种确定价值的新方法提供了信息,这些信息构成了具有成本效益的完井设计的基础。

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