Research output: Contribution to conference › Paper › Research › peer-review
Research output: Contribution to conference › Paper › Research › peer-review
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TY - CONF
T1 - A 3D inversion algorithm using a triple mesh approach and domain-decomposition for fast computations
AU - Engebretsen, K. W.
AU - Zhang, B.
AU - Fiandaca, G.
AU - Auken, E.
PY - 2019
Y1 - 2019
N2 - With the computer power available today full 3D inversions of transient electromagnetic data (TEM) is no longer a dream of the past. Although it is possible to perform these inversions, the problems still scale in three dimensions making large datasets slow to invert. We here propose a new triple mesh method for inverting TEM datasets with multiple transmitters and multiple receivers per transmitter. The code is relative fast and with a manageable memory consumption. In this new approach we show that by using a decoupled regular structured model mesh and two finite element forward meshes, one with a coarse discretization and one with a fine discretization, we get a substantial speed up in calculations times without sacrificing much in terms of how well we fit the data. We show that we can invert large datasets by decomposing our domain and applying this triple mesh method on each domain separately.
AB - With the computer power available today full 3D inversions of transient electromagnetic data (TEM) is no longer a dream of the past. Although it is possible to perform these inversions, the problems still scale in three dimensions making large datasets slow to invert. We here propose a new triple mesh method for inverting TEM datasets with multiple transmitters and multiple receivers per transmitter. The code is relative fast and with a manageable memory consumption. In this new approach we show that by using a decoupled regular structured model mesh and two finite element forward meshes, one with a coarse discretization and one with a fine discretization, we get a substantial speed up in calculations times without sacrificing much in terms of how well we fit the data. We show that we can invert large datasets by decomposing our domain and applying this triple mesh method on each domain separately.
UR - http://www.scopus.com/inward/record.url?scp=85088225117&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:85088225117
T2 - 25th European Meeting of Environmental and Engineering Geophysics, Held at Near Surface Geoscience Conference and Exhibition 2019, NSG 2019
Y2 - 8 September 2019 through 12 September 2019
ER -