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

no code implementations • 7 Dec 2023 • Anran Xu, Lindsey J. Heagy

The predicted subsurface model is then fed into a forward numerical simulation process to generate corresponding predicted measurements.

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

1 code implementation • 21 Feb 2020 • Thibaut Astic, Lindsey J. Heagy, Douglas W. Oldenburg

In that framework, petrophysical and geological information is modelled with a Gaussian Mixture Model (GMM).

Geophysics Computational Engineering, Finance, and Science Applications

Open source software for simulations and inversions of airborne electromagnetic data

1 code implementation • 21 Feb 2019 • Lindsey J. Heagy, Seogi Kang, Rowan Cockett, Douglas Oldenburg

We present an overview of the software in its application to airborne EM and demonstrate its use for visualizing fields and fluxes in a forward simulation as well as its flexibility in formulating and solving the inverse problem.

Geophysics Computational Physics

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

2 code implementations • 21 Apr 2018 • Lindsey J. Heagy, Douglas W. Oldenburg

The associated software implementation includes modeling capabilities for direct current resistivity, time domain electromagnetics, and frequency domain electromagnetics for models that include variable electrical conductivity and magnetic permeability.

Geophysics

A numerical method for efficient 3D inversions using Richards equation

no code implementations • 11 Jun 2017 • 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.

Geophysics