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Publications

Opportunities for open-source software to accelerate research in applied geophysics

This article considers the potential for open-source software and open-science practices to accelerate research in applied geophysics and thereby contribute to solutions of geoscientific problems impacting society.

Lindsey J. Heagy, Seogi Kang, Joseph Capriotti et al.
2/1/2024
Impacts of magnetic permeability on electromagnetic data collected in settings with steel-cased wells
Lindsey J. Heagy and Douglas W. Oldenburg
3/23/2023
Electrical and electromagnetic responses over steel-cased wells

Examining and discussing the physics of electrical and EM responses of steel-cased wells, with focus on grounded source methods.

Lindsey J. Heagy and Doulas W. Oldenburg
2/1/2022
Geophysical Inversions to Delineate Rocks with CO2 Sequestration Potential Through Carbon Mineralization

Identifying some of the opportunities and areas of future research for the use of geophysical data for carbon mineralization.

Lindsey J. Heagy, Thibaut Astic, Joseph Capriotti et al.
1/20/2022
Towards an open-source landscape for 3-D CSEM modelling

these results may be useful for the CSEM community at large and that we can build over time a suite of benchmarks that will help to increase the confidence in existing and new 3-D CSEM codes.

Dieter Werthmüller, Raphael Rochlitz, Octavio Castillo-Reyes et al.
6/21/2021
Geophysical electromagnetics- A retrospective, DISC 2017, and a look forward

Reflecting on the development of EM geophysics over the years, to enhance understanding of EM geophysics, and on its visibility and usefulness to the community.

Doulas W. Oldenburg, Lindsey J. Heagy, and Seogi Kang
2/2/2021
Petrophysically and geologically guided multi-physics inversion using a dynamic Gaussian mixture model

We extend that framework to jointly invert multiple geophysical data sets that depend on multiple physical properties

Thibaut Astic, Lindsey J. Heagy, and Douglas W Oldenburg
1/1/2021
Joint inversion of potential-fields data over the DO-27 kimberlite pipe using a Gaussian mixture model prior

Producing a quasi-geology model that presents good structural locations of the diamondiferous PK unit and can be used to provide a resource estimate or decide the locations of future drillholes.

Thibaut Astic, Dominique Fournier, and Douglas W. Oldenburg
10/12/2020
Sparse magnetic vector inversion in spherical coordinates

Determining the enhanced capabilities of our algorithm on a large airborne magnetic survey collected over the Kevitsa Ni-Cu-platinum group elements (PGE) deposit

Dominique Fournier, Lindsey J. Heagy, and Douglas W. Oldenburg
3/19/2020
Detecting induced polarisation effects in time-domain data - a modelling study using stretched exponentials

The effects of the background conductivity are investigated; this study shows that a moderately conductive and chargeable target in a resistive host is an ideal scenario for generating strong IP signals

Seogi Kang, Lindsey J. Heagy, and Douglas W. Oldenburg
1/1/2020
3D electromagnetic modelling and inversion - a case for open source

Presenting arguments for adopting an open-source methodology for geophysics and provide some background about open-source software for electromagnetics.

Douglas W. Oldenburg, Lindsey J. Heagy, Seogi Kang et al.
1/1/2020
Open-source software for simulations and inversions of airborne electromagnetic data

overview of the software in its application to airborne electromagnetics and demonstrate its use for visualising fields and fluxes in a forward simulation, as well as its flexibility in formulating and solving the inverse problem.

Lindsey J. Heagy, Seogi Kang, Rowan Cockett et al.
1/1/2020
A framework for petrophysically and geologically guided geophysical inversion using a dynamic Gaussian mixture model prior

Applying our framework to inverting airborne frequency domain data, acquired in Australia, for the detection and characterization of saline contamination of freshwater.

Thibaut Astic and Douglas W Oldenburg
8/30/2019
Direct current resistivity with steel-cased wells

Adopting a cylindrical discretization for numerical simulations to investigate three important aspects of DC resistivity in settings with steel-cased wells.

Lindsey J. Heagy and Doulas W. Oldenburg
6/18/2019
Inversion using spatially variable mixed ℓp norms

We use our algorithm to generate an ensemble of solutions with mixed ℓp norms. In addition, we use this ensemble to estimate the suite of p values that can be used in a final inversion.

Dominique Fournier and Douglas W Oldenburg
3/27/2019
Modeling electromagnetics on cylindrical meshes with applications to steel-cased wells
Lindsey J. Heagy and Doulas W. Oldenburg
3/7/2019
Efficient 3D inversions using the Richards equation

Fluid flow in the vadose zone, governed by the Richards equation, requires characterizing hydraulic properties using direct and proxy measurements. We present an efficient inversion technique for 1D, 2D, and 3D hydraulic properties, implemented in SimPEG, enabling large-scale inversions with modest resources.

Rowan Cockett, Lindsey J. Heagy, and Eldad Haber
7/1/2018
A framework for simulation and inversion in electromagnetics

Proposing a framework for organizing and implementing electromagnetic simulations and gradient-based inversions in a modular, extensible fashion.

Lindsey J. Heagy, Rowan Cockett, Seogi Kang et al.
7/19/2017
Transient VRM Response From a Large Circular Loop Over a Conductive and Magnetically Viscous Half-Space

We present a set of analytical expressions for the vertical and radial VRM responses generated by a large circular loop over a magnetically viscous half-space

Devin Cowan, Lin-Ping Song, and Douglas W. Oldenburg
4/6/2017
Data quality control methodologies for large, non-conventional DC resistivity datasets

We developed a more generalized data QC methodology which utilizes statistical analysis and classification tools

Michael A. Mitchell and Douglas W. Oldenburg
9/18/2016
An open source framework for simulation and gradient based parameter estimation in geophysical applications

Proposing a framework that supports many different types of geophysical forward simulations and deterministic inverse problems

Rowan Cockett, Seogi Kang, Lindsey J. Heagy et al.
9/26/2015