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- W2597057060 abstract "Summary In this work we describe a methodology for the inversion of CSEM data that contains a massive amount of sources and receivers. We use OcTree mesh to build a source-reciever fitted mesh that contains a small number of cells for the computation of the forward problem. The small mesh allow the use of direct methods for the solution of the problem and therefore we can compute the predicted data quickly. To deal with the large number of sources and receivers we use stochastic programming techniques. These techniques allow us to use only a subset of the sources and receivers at each iteration and therefore allow for a fast and memory efficient solution of the problem. We demonstrate the viability of our method on a CSEM survey for the detection of gas hydrates and show that it can yield an accurate image of the subsurface in a short time." @default.
- W2597057060 created "2017-03-23" @default.
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- W2597057060 date "2016-01-01" @default.
- W2597057060 modified "2023-09-26" @default.
- W2597057060 title "Solving CSEM Problems with Massive Number of Sources and Receivers" @default.
- W2597057060 doi "https://doi.org/10.3997/2214-4609.201601308" @default.
- W2597057060 hasPublicationYear "2016" @default.
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