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A warning system for exceeding subsidence limits

机译:超过沉降极限的警告系统

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摘要

In some cases hydrocarbon production is legally restricted to a maximum amount of subsidence that it generates. To support the field management in such circumstances we developed a general framework that enables decision-making when a threshold in a process is about to be exceeded (“an event”). Measurements are combined with prior information to update the probability of such an event. This prior information is derived from the results of an ensemble of model realisations that span the uncertainty present in the model before any measurements are collected; only probability updates need to be calculated, which makes the procedure very fast once the basic ensemble of realisations has been set up. The procedure is demonstrated with an example of a synthetic gas field. Starting with 100 realisations spanning the prior uncertainty of the process, the measurements collected during monitoring bolster some of the realisations while refuting others. In this procedure, more data will mean a sharper determination of the posterior probability. We show the use of two different types of limits: a maximum allowed value of subsidence and a maximum allowed value of subsidence rate for all measurement points at all times. These limits have been applied in real world cases. The framework is general and is able to deal with other types of limits in just the same way. It can also be used to optimise monitoring strategies by assessing the effect of the number, position and timing of the measurement points. Furthermore, in such a synthetic study, the prior realisations do not need to be updated; spanning the range of uncertainty with appropriate prior models is sufficient.
机译:在某些情况下,碳氢化合物生产在法律上限于其产生的最大沉降量。为了在这种情况下支持现场管理,我们开发了一个通用框架,该框架可以在流程中的阈值即将超过(“事件”)时进行决策。测量值与先验信息相结合以更新此类事件的可能性。该先验信息来自模型实现的整体结果,该结果跨越了在收集任何测量值之前模型中存在的不确定性。只需要计算概率更新,一旦建立了基本的集成体,就可以使过程非常快。以合成气田为例演示了该过程。从跨越过程的先前不确定性的100个实现开始,在监视期间收集的测量结果支持了某些实现,而反驳了其他实现。在此过程中,更多的数据将意味着更准确地确定后验概率。我们展示了两种不同类型的限制的使用:始终允许所有测量点的沉降最大允许值和沉降速率最大允许值。这些限制已在现实世界中应用。该框架是通用的,并且能够以相同的方式处理其他类型的限制。通过评估测量点的数量,位置和时间的影响,它还可用于优化监视策略。此外,在这样的综合研究中,不需要更新先前的认识。用适当的先验模型跨越不确定性范围就足够了。

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