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Comparison between Conventional and Intelligent Wells with Reactive and Proactive Controls under Economic Uncertainty

机译:经济不确定性下具有反应与主动控制的常规和智能井的比较

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The exploitation of an oil field in deep water presents many challenges related to high water production, high cost of frequent well interventions and many uncertainties. One of the technologies available, which can overcome these problems, is the use of intelligent wells (IW), which are capable of reducing water production rates, to avoid intervention in the well and to add operational flexibility to mitigate risk. However, the real benefits of this technology are not always clear due to the lack of a consolidated methodology in the literature. Moreover, there are also two main ways of controlling valves, i.e., reactive and proactive controls, making it necessary to better understand them to extract advantages and disadvantages from each one. Therefore, the objective of this work is the comparison between conventional wells (CW) and IW, using reactive and proactive controls. The first control is simpler to be used and quicker to be optimized but the second type can be more profitable, although more difficult to optimize. The optimization method used to solve the problem is an evolutionary algorithm, which is coupled to a commercial simulator to search for the maximum net present value (NPV), based on the 'shut in' water cut to determine the optimum time in which to close each valve and the well, in all types of controls. This work employs a model using an inverted five-spot configuration of wells to represent a part of a reservoir under a waterflooding recovery method. Some case studies are used considering different reservoir heterogeneities, type of oil and under economic uncertainty. The conclusion shows that IWs are able to increase production time, oil recovery and the NPV; as a consequence total water production is also increased. The results also show higher benefits in cases with more heterogeneity and light oil. Moreover, IWs using proactive control is better than IWs with reactive control and using either of them is better than CWs.
机译:深水中油田的开发呈现出与高水生产,频繁井干预的高成本以及许多不确定性相关的挑战。可以克服这些问题的技术之一是使用能够降低水资源生产率的智能井(IW),以避免在该井中进行干预,并增添风险的操作灵活性以减轻风险。然而,由于文献中缺乏综合方法,这项技术的真正好处并不总是很清楚。此外,还有两种控制阀的主要方式,即反应性和主动控制,使得能够更好地理解它们从每个人提取各自的优缺点。因此,这项工作的目的是使用反应性和主动控制的传统孔(CW)和IW之间的比较。第一个控制更简单,更快地优化,但第二种类型可能更有利可图,虽然更难以优化。用于解决问题的优化方法是一种进化算法,其耦合到商业模拟器以搜索最大净现值(NPV),基于“关闭”水切割以确定关闭的最佳时间每个阀门和井,在所有类型的控制中。这项工作采用了一种模型,使用井的倒井的五点配置,在水上回收方法下表示储存器的一部分。考虑不同的水库异质性,油种和经济不确定性,使用一些案例研究。结论表明,IWS能够增加生产时间,石油回收和NPV;结果,总水产也增加了。在具有更多异质性和轻油的情况下,结果也显示出更高的益处。此外,使用主动控制的IWS比IWS更好,具有反应控制,并且使用它们中的任何一个优于CWS。

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