activity
20162025
most citedA framework for simulation and inversion in electromagnetics

176 citations · 495 across the 18 of their papers we have counts for

collaborators

18 papers

cs.LG2025★ 2 cited

Towards Understanding the Benefits of Neural Network Parameterizations in Geophysical Inversions: A Study With Neural Fields

Anran Xu, Lindsey J. Heagy

In this work, we employ neural fields, which use neural networks to map a coordinate to the corresponding physical property value at that coordinate, in a test-time learning manner…

cs.LG2023★ 5 cited

A Test-Time Learning Approach to Reparameterize the Geophysical Inverse Problem with a Convolutional Neural Network

Anran Xu, Lindsey J. Heagy

Regularization is critical for solving ill-posed geophysical inverse problems. Explicit regularization is often used, but there are opportunities to explore the implicit regulariza…

physics.geo-ph2022★ 16 cited

Impacts of magnetic permeability on electromagnetic data collected in settings with steel-cased wells

Lindsey J. Heagy, Douglas W. Oldenburg

Electromagnetic methods are increasingly being applied in settings with steel infrastructure. These include applications such as monitoring of CO2 sequestration or even assessing t…

physics.geo-ph2022★ 6 cited

MTH5: an archive and exchangeable data format for magnetotelluric time series data

Jared Peacock, Karl Kappler, Lindsey Heagy +3

Magnetotellurics (MT) is a passive electromagnetic geophysical method that measures variations in subsurface electrical resistivity. MT data are collected in the time domain and pr…

physics.geo-ph2022★ 3 cited

Geophysical Electromagnetics: A retrospective, DISC 2017, and a look forward

Douglas W. Oldenburg, Lindsey J. Heagy, Seogi Kang

Geophysical electromagnetics (EM) plays an important role in mineral exploration and is increasingly being used to help solve other problems of relevance to society. In this articl…

physics.geo-ph2022★ 1 cited

Geophysical inversions to delineate rocks with CO sequestration potential through carbon mineralization

Lindsey J. Heagy, Thibaut Astic, Joseph Capriotti +2

In addition to reducing anthropogenic emissions of CO, it is increasingly clear we also need to remove CO from the atmosphere in order to avoid some of the worst case scena…

physics.geo-ph2021★ 10 cited

Electrical and electromagnetic responses over steel-cased wells

Lindsey J. Heagy, Douglas W. Oldenburg

Electrical and electromagnetic (EM) methods can be diagnostic geophysical imaging tools for monitoring applications, such as carbon capture and storage or hydraulic fracturing. In…

physics.geo-ph2021★ 13 cited

Hybrid parametric/smooth inversion of electrical resistivity tomography data

Teddi Herring, Lindsey J. Heagy, Adam Pidlisecky +1

The standard smooth electrical resistivity tomography inversion produces an estimate of subsurface conductivity that has blurred boundaries, damped magnitudes, and often contains i…

physics.geo-ph2020★ 37 cited

Towards an open-source landscape for 3D CSEM modelling

Dieter Werthmüller, Raphael Rochlitz, Octavio Castillo-Reyes +1

Large-scale modelling of three-dimensional controlled-source electromagnetic (CSEM) surveys used to be feasible only for large companies and research consortia. This has changed ov…

physics.geo-ph2020★ 70 cited

Petrophysically and geologically guided multi-physics inversion using a dynamic Gaussian mixture model

Thibaut Astic, Lindsey J. Heagy, Douglas W. Oldenburg

In a previous paper, we introduced a framework for carrying out petrophysically and geologically guided geophysical inversions. In that framework, petrophysical and geological info…

physics.geo-ph2019★ 1 cited

Detecting induced polarization effects in time-domain data: a modeling study using stretched exponentials

Seogi Kang, Douglas W. Oldenburg, Lindsey J. Heagy

The potential for extracting and interpreting induced polarization (IP) data from airborne surveys is now broadly recognized. There is, however, still considerable discussion about…

physics.geo-ph2019★ 32 cited

3D electromagnetic modelling and inversion: A case for open-source

Douglas W. Oldenburg, Lindsey J. Heagy, Seogi Kang +1

Electromagnetics has an important role to play in solving the next generation of geoscience problems. These problems are multidisciplinary, complex, and require collaboration. This…

physics.geo-ph2019★ 19 cited

Open source software for simulations and inversions of airborne electromagnetic data

Lindsey J. Heagy, Seogi Kang, Rowan Cockett +1

Inversions of airborne EM data are often an iterative process, not only requiring that the researcher be able to explore the impact of changing components such as the choice of reg…

physics.geo-ph2018★ 23 cited

Direct current resistivity with steel-cased wells

Lindsey J. Heagy, Douglas W. Oldenburg

The work in this paper is motivated by the increasing use of electrical and electromagnetic methods in geoscience problems where steel-cased wells are present. Applications of inte…

physics.geo-ph2018★ 44 cited

Modeling electromagnetics on cylindrical meshes with applications to steel-cased wells

Lindsey J. Heagy, Douglas W. Oldenburg

Simulating direct current resistivity, frequency domain electromagnetics and time domain electromagnetics in settings where steel cased boreholes are present is of interest across…

physics.geo-ph2017★ 26 cited

A numerical method for efficient 3D inversions using Richards equation

Rowan Cockett, Lindsey J. Heagy, Eldad Haber

Fluid flow in the vadose zone is governed by Richards equation; it is parameterized by hydraulic conductivity, which is a nonlinear function of pressure head. Investigations in the…

math.NA2016★ 11 cited

A Framework for the Upscaling of the Electrical Conductivity in the Quasi-static Maxwell's Equations

Luz Angelica Caudillo-Mata, Eldad Haber, Lindsey J. Heagy +1

Electromagnetic simulations of complex geologic settings are computationally expensive. One reason for this is the fact that a fine mesh is required to accurately discretize the el…

physics.geo-ph2016★ 176 cited

A framework for simulation and inversion in electromagnetics

Lindsey J. Heagy, Rowan Cockett, Seogi Kang +2

Simulations and inversions of electromagnetic geophysical data are paramount for discerning meaningful information about the subsurface from these data. Depending on the nature of…