Zobrazeno 1 - 10 of 208 pro vyhledávání: '"Mark Jessell"'
3
dh2loop 1.0: an open-source Python library for automated processing and classification of geological logs
Autor: Guillaume Pirot, Ranee Joshi, Mark Jessell, Kavitha Madaiah, M. Lindsay
Publikováno v: Geoscientific Model Development. 14:6711-6740
A huge amount of legacy drilling data is available in geological survey but cannot be used directly as they are compiled and recorded in an unstructured textual form and using different formats depending on the database structure, company, logging ge
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3e2fa15115114444301bcfbeb94b1f27
https://doi.org/10.5194/gmd-14-6711-2021
Zobrazit plný text záznamu
4
Constraining 3D geometric gravity inversion with a 2D reflection seismic profile using a generalized level set approach: application to the eastern Yilgarn Craton
Autor: Mark Lindsay, Vitaliy Ogarko, Mahtab Rashidifard, Mark Jessell, Jeremie Giraud
Publikováno v: Solid Earth, Vol 12, Pp 2387-2406 (2021)
One of the main tasks in 3D geological modeling 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 geophysic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e7d9e4dfacebf39eeb2529c9a996b26
https://doi.org/10.5194/se-12-2387-2021
Zobrazit plný text záznamu
5
Automated geological map deconstruction for 3D model construction using map2loop 1.0 and map2model 1.0
Autor: M. Lindsay, Mark Jessell, Guillaume Pirot, Lachlan Grose, Miguel de la Varga, Yohan de Rose, Agnieszka Piechocka, Laurent Ailleres, Ranee Joshi, Vitaliy Ogarko
Publikováno v: Geoscientific Model Development. 14:5063-5092
At a regional scale, the best predictor for the 3D geology of the near-subsurface is often the information contained in a geological map. One challenge we face is the difficulty in reproducibly preparing input data for 3D geological models. We presen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d8ca07bf505053a0edaa7ee0f88ba237
https://doi.org/10.5194/gmd-14-5063-2021
Zobrazit plný text záznamu
6
Generalization of level-set inversion to an arbitrary number of geologic units in a regularized least-squares framework
Autor: Mark Jessell, Mark Lindsay, Jeremie Giraud
Publikováno v: GEOPHYSICS. 86:R623-R637
We have developed an inversion method for recovery of the geometry of an arbitrary number of geologic units using a regularized least-squares framework. The method addresses cases in which each geologic unit can be modeled using a constant physical p
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::775c031f2aa42d0a03df586b5666d43e
https://doi.org/10.1190/geo2020-0263.1
Zobrazit plný text záznamu
7
LoopStructural 1.0: time-aware geological modelling
Autor: Gautier Laurent, Laurent Ailleres, Mark Jessell, Lachlan Grose
Publikováno v: Geoscientific Model Development Discussions
Geoscientific Model Development Discussions, Copernicus Publ, 2021, 14 (6), pp.3915-3937. ⟨10.5194/gmd-14-3915-2021⟩
Geoscientific Model Development, Vol 14, Pp 3915-3937 (2021)
In this contribution we introduce LoopStructural, a new open-source 3D geological modelling Python package (http://www.github.com/Loop3d/LoopStructural, last access: 15 June 2021). LoopStructural provides a generic API for 3D geological modelling app
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d6a3a0381befc3fa0385ea2be4398ab
https://doi.org/10.5194/gmd-14-3915-2021
Zobrazit plný text záznamu
8
Disjoint interval bound constraints using the alternating direction method of multipliers for geologically constrained inversion: Application to gravity data
Autor: Jeremie Giraud, Mark Jessell, Roland Martin, Vitaliy Ogarko
Publikováno v: GEOPHYSICS. 86:G1-G11
To reduce uncertainties in reconstructed images, geologic information must be introduced in a numerically robust and stable way during the geophysical data inversion procedure. In the context of potential (gravity) data inversion, it is important to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0410d0e2dfc26ed74bf19b32d0b3d47c
https://doi.org/10.1190/geo2019-0633.1
Zobrazit plný text záznamu
9
A new approach toward integrated inversion of reflection seismic and gravity datasets using deep learning
Autor: Mahtab Rashidifard, Jeremie Giraud, Mark Jessell, Mark Lindsay
Reflection seismic data, although sparsely distributed due to the high cost of acquisition, is the only type of data that can provide high-resolution images of the crust to reveal deep subsurface structures and the architectural complexity that may v
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::742ea354bfa74734bce809e0da638d90
https://doi.org/10.5194/egusphere-egu22-10711
Zobrazit plný text záznamu
10
Blockworlds 0.1. 0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models
Autor: Guillaume Pirot, Richard Scalzo, Mark Jessell, M. Lindsay, Jeremie Giraud, Sally Cripps, Edward Cripps
Parametric geological models such as implicit or kinematic models provide low-dimensional, interpretable representations of 3-D geological structures. Combining these models with geophysical data in a probabilistic joint inversion framework provides
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10acd9253067b1fed3cf923c0ba5cd74
https://hdl.handle.net/10453/169653
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje