Bayesian inversion of geoelectrical resistivity data
Bayesian inversion of geoelectrical resistivity data
复制标题
地电阻率数据的贝叶斯反演
DOI：
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发表时间：
2003
期刊：
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通讯作者：
Martin B. Hansen
中科院分区：
文献类型：
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作者：
K. E. Andersen;S. Brooks;Martin B. Hansen
概括。每天都会产生大量的地电数据，并且通常用于大规模油藏建模。要解释这些数据，需要可靠且高效的反演方法，这些方法充分结合先验信息并使用实际复杂的建模结构。我们使用基于随机彩色多边形图的模型作为地球分层组成的强大且灵活的建模框架，并将我们的方法与基于平滑高斯场的早期方法进行对比。我们演示了如何通过使用多重网格 Metropolis 耦合马尔可夫链蒙特卡罗方法有效地实现重建算法，并在一组现场数据上说明该方法。
Summary. Enormous quantities of geoelectrical data are produced daily and often used for large scale reservoir modelling. To interpret these data requires reliable and efficient inversion methods which adequately incorporate prior information and use realistically complex modelling structures. We use models based on random coloured polygonal graphs as a powerful and flexible modelling framework for the layered composition of the Earth and we contrast our approach with earlier methods based on smooth Gaussian fields. We demonstrate how the reconstruction algorithm may be efficiently implemented through the use of multigrid Metropolis–coupled Markov chain Monte Carlo methods and illustrate the method on a set of field data.