Print Email Facebook Twitter Hoisting a red flag: An early warning system for exceeding subsidence limits Title Hoisting a red flag: An early warning system for exceeding subsidence limits Author Nepveu, M. Kroon, I.C. Fokker, P.A. TNO Bouw en Ondergrond Publication year 2010 Abstract We present 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 where gas field production is restricted to a maximum amount of subsidence. Starting with 100 realisations spanning the prior uncertainty of the process, the measurements collected during monitoring bolster some of the realisations and expose others as irrelevant. 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. © International Association for Mathematical Geosciences 2009. Subject Earth & EnvironmentSGE - Sustainable Geo EnergyEELS - Earth, Environmental and Life SciencesGeosciencesBayesDecision supportEnsembleEvent probabilityMonitoring strategySubsidence To reference this document use: http://resolver.tudelft.nl/uuid:899496a6-21c9-48f5-914c-6a57674c93d7 TNO identifier 360846 ISSN 1874-8961 Source Mathematical Geosciences, 42 (2), 187-198 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.