Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Aimé Fournier"'
Autor:
R. Chadwick Holmes, Aimé Fournier
Publikováno v:
Energies, Vol 15, Iss 5, p 1929 (2022)
Geothermal exploration has traditionally relied on geological, geochemical, or geophysical surveys for evidence of adequate enthalpy, fluids, and permeability in the subsurface prior to drilling. The recent adoption of play fairway analysis (PFA), a
Externí odkaz:
https://doaj.org/article/5ced104b8ecf4723b3593e0e4f9be193
Publikováno v:
Atmosphere, Vol 9, Iss 8, p 296 (2018)
Observational data collected during experiments, such as the planned Fire and Smoke Model Evaluation Experiment (FASMEE), are critical for evaluating and transitioning coupled fire-atmosphere models like WRF-SFIRE and WRF-SFIRE-CHEM into operational
Externí odkaz:
https://doaj.org/article/fde8aa6102784f46897ab58ae995e294
Publikováno v:
Applied Soft Computing. 122:108774
Publikováno v:
Other repository
© 2020 The Author(s) 2020. Published by Oxford University Press on behalf of The Royal Astronomical Society. We present a robust factorization of the teleseismic waveforms resulting from an earthquake source into signals that originate from the sour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9f40c284e62866d5bd5ca176ab4e7bd
https://doi.org/10.31223/osf.io/ehza7
https://doi.org/10.31223/osf.io/ehza7
Publikováno v:
SEG Technical Program Expanded Abstracts 2019.
Publikováno v:
SEG Technical Program Expanded Abstracts 2018.
Autor:
Aimé Fournier
Initialization of numerical weather-prediction models uses data assimilation to specify an optimal analysis state derived from observations and the model background state. The associated covariance structures are crucial factors. The full background-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d35ce9f000e301dfbc7bb2316b65e7d7
Publikováno v:
MIT Web Domain
We consider the question of deblending for seismic shot records generated from simultaneous random sources at different locations, i.e., how to decompose them into isolated records involving one source at a time. As an example, seismic-while-drilling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::643053e0171ad037eaa0bc1edcb75767
https://orcid.org/0000-0001-7052-5097
https://orcid.org/0000-0001-7052-5097
Autor:
Natalia Ivanova, Can Evren Yarman, Ran Bachrach, Dave Nichols, Konstantin Osypov, Marta Woodward, Yu You, Aimé Fournier, Yi Yang
Publikováno v:
Geophysical Prospecting. 61:1114-1134
Uncertainty is inherent in every stage of the oil and gas exploration and production (E&P) business and understanding uncertainty enables mitigation of E&P risks. Therefore, quantification of uncertainty is beneficial for decision making and uncertai