none 10.1190/tle36080696.1 Society of Exploration Geophysicists Society of Exploration Geophysicists 186 92001192 5980 2025120815020617500 10.1190 2025-12-08T20:02:14Z 2017-07-28T09:06:21Z 10 The Leading Edge 1070-485X 08 2017 08 01 2017 36 8 Seogi Kang 1 University of British Columbia Geophysical Inversion Facility. http://orcid.org/0000-0002-9963-936X Lindsey J. Heagy 1 University of British Columbia Geophysical Inversion Facility. http://orcid.org/0000-0002-1551-5926 Rowan Cockett 1 University of British Columbia Geophysical Inversion Facility. http://orcid.org/0000-0002-7859-8394 Douglas W. Oldenburg 1 University of British Columbia Geophysical Inversion Facility. At some point in many geophysical workflows, an inversion is a necessary step for answering the geoscientific question at hand, whether it is recovering a reflectivity series from a seismic trace in a deconvolution problem, finding a susceptibility model from magnetic data, or recovering conductivity from an electromagnetic survey. This is particularly true when working with data sets where it may not even be clear how to plot the data: 3D direct current resistivity and induced polarization surveys (it is not necessarily clear how to organize data into a pseudosection) or multicomponent data, such as electromagnetic data (we can measure three spatial components of electric and/or magnetic fields through time over a range of frequencies). Inversion is a tool for translating these data into a model we can interpret. The goal of the inversion is to find a “model” — some description of the earth's physical properties — that is consistent with both the data and geologic knowledge. 08 2017 08 01 2017 696 699 https://creativecommons.org/licenses/by-sa/3.0/ 1 10.1190/crossmark-policy library.seg.org true 2017-07-28 10.1190/tle36080696.1 https://pubs.geoscienceworld.org/tle/article/36/8/696/353511/Exploring-nonlinear-inversions-A-1D https://pubs.geoscienceworld.org/seg/tle/article-pdf/36/8/696/7437828/tle36080696.1.pdf https://pubs.geoscienceworld.org/seg/tle/article-pdf/36/8/696/7437828/tle36080696.1.pdf https://pubs.geoscienceworld.org/tle/article/36/8/696/353511/exploring-nonlinear-inversions-a-1d The Leading Edge 35 8 703 2016 10.1190/tle35080703.1 Pixels and their neighbors: Finite volume Computers & Geosciences 85 142 2015 10.1016/j.cageo.2015.09.015 SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications The Leading Edge 35 12 1085 2016 10.1190/tle35121085.1 Linear inversion Investigations in Geophysics: Near-Surface Geophysics 89 2005 Inversion for applied geophysics: A tutorial Inversion of magnetotelluric data for a one-dimensional conductivity 1992