simpeg-research/Astic-2020-JointInversion: Joint inversion of synthetic potential fields data based on the DO-27 kimberlite pipe

Summary We present a framework for petrophysically and geologically guided inversion to perform multi-physics joint inversions. Petrophysical and geological information is included in a multi-dimensional Gaussian mixture model that regularizes the inverse problem. The inverse problem we construct co...

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Main Author: Thibaut Astic
Format: Software
Language:unknown
Published: 2020
Subjects:
Online Access:https://zenodo.org/record/3633239
https://doi.org/10.5281/zenodo.3633239
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spelling ftzenodo:oai:zenodo.org:3633239 2023-05-15T17:46:46+02:00 simpeg-research/Astic-2020-JointInversion: Joint inversion of synthetic potential fields data based on the DO-27 kimberlite pipe Thibaut Astic 2020-01-31 https://zenodo.org/record/3633239 https://doi.org/10.5281/zenodo.3633239 unknown https://github.com/simpeg-research/Astic-2020-JointInversion/tree/1.0.0 doi:10.5281/zenodo.3571471 https://zenodo.org/record/3633239 https://doi.org/10.5281/zenodo.3633239 oai:zenodo.org:3633239 info:eu-repo/semantics/openAccess info:eu-repo/semantics/other software 2020 ftzenodo https://doi.org/10.5281/zenodo.363323910.5281/zenodo.3571471 2023-03-11T04:17:32Z Summary We present a framework for petrophysically and geologically guided inversion to perform multi-physics joint inversions. Petrophysical and geological information is included in a multi-dimensional Gaussian mixture model that regularizes the inverse problem. The inverse problem we construct consists of a suite of three cyclic optimizations over the geophysical, petrophysical and geological information. The two additional problems over the petrophysical and geological data are used as a coupling term. They correspond to updating the geophysical reference model and regularization weights. This guides the inverse problem towards reproducing the desired petrophysical and geological characteristics. The objective function that we define for the inverse problem is comprised of multiple data misfit terms: one for each geophysical survey and one for the petrophysical properties and geological information. Each of these misfit terms has its own target misfit value which we seek to fit in the inversion. Our framework is modular and extensible and this allows us to combine multiple geophysical methods in a joint inversion and to distribute open-source code and reproducible examples. To illustrate the gains made by multi-physics inversions, we apply our framework to jointly invert, in 3D, synthetic potential fields data based on the DO-$27$ kimberlite pipe case study (Northwest Territories, Canada). The pipe contains two distinct kimberlite facies embedded in a host rock. We show that inverting the datasets individually, even with petrophysical information, leads to a binary geologic model consisting of background or kimberlite. A joint inversion, with petrophysical information, can differentiate the two main kimberlite facies of the pipe. Contents Geology surfaces folder: Geology surfaces built from drillholes Forward folder: Scripts to forward model the magnetic and gravity data from the geological surfaces L2 inversion folder: Jupyter notebooks to run Tikhonov (L2) inversions and Sparse (Lp-Lq) inversion of the ... Software Northwest Territories Zenodo Canada Northwest Territories
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description Summary We present a framework for petrophysically and geologically guided inversion to perform multi-physics joint inversions. Petrophysical and geological information is included in a multi-dimensional Gaussian mixture model that regularizes the inverse problem. The inverse problem we construct consists of a suite of three cyclic optimizations over the geophysical, petrophysical and geological information. The two additional problems over the petrophysical and geological data are used as a coupling term. They correspond to updating the geophysical reference model and regularization weights. This guides the inverse problem towards reproducing the desired petrophysical and geological characteristics. The objective function that we define for the inverse problem is comprised of multiple data misfit terms: one for each geophysical survey and one for the petrophysical properties and geological information. Each of these misfit terms has its own target misfit value which we seek to fit in the inversion. Our framework is modular and extensible and this allows us to combine multiple geophysical methods in a joint inversion and to distribute open-source code and reproducible examples. To illustrate the gains made by multi-physics inversions, we apply our framework to jointly invert, in 3D, synthetic potential fields data based on the DO-$27$ kimberlite pipe case study (Northwest Territories, Canada). The pipe contains two distinct kimberlite facies embedded in a host rock. We show that inverting the datasets individually, even with petrophysical information, leads to a binary geologic model consisting of background or kimberlite. A joint inversion, with petrophysical information, can differentiate the two main kimberlite facies of the pipe. Contents Geology surfaces folder: Geology surfaces built from drillholes Forward folder: Scripts to forward model the magnetic and gravity data from the geological surfaces L2 inversion folder: Jupyter notebooks to run Tikhonov (L2) inversions and Sparse (Lp-Lq) inversion of the ...
format Software
author Thibaut Astic
spellingShingle Thibaut Astic
simpeg-research/Astic-2020-JointInversion: Joint inversion of synthetic potential fields data based on the DO-27 kimberlite pipe
author_facet Thibaut Astic
author_sort Thibaut Astic
title simpeg-research/Astic-2020-JointInversion: Joint inversion of synthetic potential fields data based on the DO-27 kimberlite pipe
title_short simpeg-research/Astic-2020-JointInversion: Joint inversion of synthetic potential fields data based on the DO-27 kimberlite pipe
title_full simpeg-research/Astic-2020-JointInversion: Joint inversion of synthetic potential fields data based on the DO-27 kimberlite pipe
title_fullStr simpeg-research/Astic-2020-JointInversion: Joint inversion of synthetic potential fields data based on the DO-27 kimberlite pipe
title_full_unstemmed simpeg-research/Astic-2020-JointInversion: Joint inversion of synthetic potential fields data based on the DO-27 kimberlite pipe
title_sort simpeg-research/astic-2020-jointinversion: joint inversion of synthetic potential fields data based on the do-27 kimberlite pipe
publishDate 2020
url https://zenodo.org/record/3633239
https://doi.org/10.5281/zenodo.3633239
geographic Canada
Northwest Territories
geographic_facet Canada
Northwest Territories
genre Northwest Territories
genre_facet Northwest Territories
op_relation https://github.com/simpeg-research/Astic-2020-JointInversion/tree/1.0.0
doi:10.5281/zenodo.3571471
https://zenodo.org/record/3633239
https://doi.org/10.5281/zenodo.3633239
oai:zenodo.org:3633239
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.363323910.5281/zenodo.3571471
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