Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jérémie Giraud"'
Gravity inversion methods are able to recover density distributions in the Earth but they need to be strongly constrained using a variety of prior information. Here, we aim at inverting gravity data anomalies constrained by existing geological and de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02d7d3da7f2ad4fd7a9f4271a5fa1c91
https://doi.org/10.5194/egusphere-egu23-2380
https://doi.org/10.5194/egusphere-egu23-2380
Publikováno v:
Geoscientific Model Development. 15:4689-4708
To support the needs of practitioners regarding 3D geological modelling and uncertainty quantification in the field, in particular from the mining industry, we propose a Python package called loopUI-0.1 that provides a set of local and global indicat
Publikováno v:
eISSN
We propose and evaluate methods for the integration of automatic implicit geological modelling into the geophysical (potential field) inversion process. The objective is to enforce structural geological realism in level-set inversion, which inverts f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87c9d87ebb1772d45992d34e0a49a8b2
https://doi.org/10.5194/egusphere-2023-129
https://doi.org/10.5194/egusphere-2023-129
Autor:
Jérémie Giraud, Hoël Seillé, Mark D. Lindsay, Gerhard Visser, Vitaliy Ogarko, Mark W. Jessell
We propose, test and apply a methodology integrating 1D magnetotelluric (MT) and magnetic data inversion, with a focus on the characterisation of the cover–basement interface. It consists of a cooperative inversion workflow relying on standalone in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f6573b3ed9b41e309a566eec43afffd
https://se.copernicus.org/articles/14/43/2023/
https://se.copernicus.org/articles/14/43/2023/
To support the needs of practitioners regarding 3D geological modelling and uncertainty quantification in the field, in particular from the mining industry, we propose a Python package called loopUI-0.1 that provides a set of local and global indicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7496fc5066c65130b4f3f8ffa0eb2432
https://doi.org/10.5194/gmd-2021-377
https://doi.org/10.5194/gmd-2021-377
One of the main tasks in 3D geological modelling is the boundary parametrization of the subsurface from geological observations and geophysical inversions. Several approaches have been developed for geometric inversion and joint inversion of geophysi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01e24ffeb35b50a0c74d3ca7548fb9b9
https://se.copernicus.org/preprints/se-2021-65/
https://se.copernicus.org/preprints/se-2021-65/
Combining two or more geophysical datasets with different resolutions and characteristics is now a common practice to recover one or more physical properties. Building 3D geological models for mineral exploration targeting is often an expensive task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::267e05baffb5e674a533cc2dfdbdaf0f
https://doi.org/10.5194/egusphere-egu2020-12461
https://doi.org/10.5194/egusphere-egu2020-12461
This paper proposes and demonstrates improvements for the Monte Carlo simulation for Uncertainty Estimation (MCUE) method. MCUE is a type of Bayesian Monte Carlo aimed at input data uncertainty propagation in implicit 3D geological modeling. In the M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d7599b24cd4ac0943cbcc3f94903770
https://www.solid-earth-discuss.net/se-2019-78/
https://www.solid-earth-discuss.net/se-2019-78/