Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Anshuman Pradhan"'
Publikováno v:
Second International Meeting for Applied Geoscience & Energy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::342b3d5aa4dcd082893a0a072e66150c
https://doi.org/10.1190/image2022-3746070.1
https://doi.org/10.1190/image2022-3746070.1
Publikováno v:
Journal of Medical Sciences and Health, Vol 6, Iss 3, Pp 66-73 (2021)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8654a4fb07d9e8b9354744bc07c7369b
https://jmsh.ac.in/index.php?option=com_k2&view=item&id=173
https://jmsh.ac.in/index.php?option=com_k2&view=item&id=173
Publikováno v:
GEOPHYSICS. 85:ID19-ID34
We have introduced a methodology for quantifying seismic velocity and pore-pressure uncertainty that incorporates information regarding the geologic history of a basin, rock physics, well log, drilling, and seismic data. In particular, our approach r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::266fb577f39ff2c0a39be442a42839f4
https://doi.org/10.1190/geo2019-0767.1
https://doi.org/10.1190/geo2019-0767.1
Autor:
Derek D. Adams, T.M. Alves, Per Avseth, Shuvajit Bhattacharya, L.M. Bonnell, Rebecca L. Caldwell, S. Cardona, Octavian Catuneanu, Cheryl R. Collarini, L. Davies, Sandra de Castro, Wouter de Weger, Zackary M. Donovan, Javier Dorador, Debora Duarte, I. Espejo, Tom Fett, L. Fielding, Marco Fonnesu, Lori Fremin, Yuqian Gan, Tatiana Glazkova, Lisa R. Goggin, Md Nahidul Hasan, F. Javier Hernández-Molina, Allegra Hosford Scheirer, Michael R. Hudec, Martin P.A. Jackson, David Jutson, Adam Kirby, Benjamin Kirkland, R.H. Lander, Ivan Lehocki, Jianliang Liu, Keyu Liu, Estefanía Llave, Paul Mann, Oswaldo Mantilla Muñoz, Olmo Miguez-Salas, Jon Minken, Tapan Mukerji, Zhi Lin Ng, Andrew Pepper, Henry S. Pettingill, Anshuman Pradhan, M.C.N.L. Rodrigues, Sara Rodrigues, Francisco J. Rodríguez-Tovar, Jon R. Rotzien, Oliver Schenk, Richard A. Sears, Joe L. Stires, E. Szymanski, T.R. Taylor, Antoine Thieblemont, Sumit Verma, Adriano R. Viana, Ryan Weber, Charlie Williams, Diane Woodruff, Cindy A. Yeilding, Shaoru Yin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f1bf8b97b5dab5517a52e8395ff5214
https://doi.org/10.1016/b978-0-323-91918-0.09990-4
https://doi.org/10.1016/b978-0-323-91918-0.09990-4
Publikováno v:
Proceedings of the 14th SEGJ International Symposium, Online, 18–21 October 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5983efc6e8a6c4795afa4b82517a0e9
https://doi.org/10.1190/segj2021-064.1
https://doi.org/10.1190/segj2021-064.1
Autor:
Kyra H. Kim, Thomas Lu, Alexander Huyen, John T. Reager, Michael Turmon, Kyongsik Yun, Andrew M. Stuart, Zhen Liu, Anshuman Pradhan, Venkat Chandrasekaran
California's Central Valley is responsible for $17 billion of annual agricultural output, producing 1/4 of the nation’s food. However, land in the Central Valley is sinking at a rapid rate (as much...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66c038b450c25da36debd77dcda149ad
https://doi.org/10.1002/essoar.10508595.1
https://doi.org/10.1002/essoar.10508595.1
Autor:
Tapan Mukerji, Anshuman Pradhan
Deep learning applications of seismic reservoir characterization often require generation of synthetic data to augment available sparse labeled data. An approach for generating synthetic training data consists of specifying probability distributions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c26c0af22488240243e7a33c2b1c4338
http://arxiv.org/abs/2108.13670
http://arxiv.org/abs/2108.13670
Autor:
Anshuman Pradhan, Tapan Mukerji
Publikováno v:
SEG Technical Program Expanded Abstracts 2020.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b3174e52a6c9c3d6bd8405efa5ac387
https://doi.org/10.1190/segam2020-3426944.1
https://doi.org/10.1190/segam2020-3426944.1
Publikováno v:
2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE).
The paper presents the design methodology of a 3-phase high voltage VAR-compensating inductor. These are used with long EHV-lines, mostly as terminal equipment, to compensate capacitive VAR-generation of the line and to avoid VAR-IN and under-excited
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33715b19b94aa029c810388e374c4775
https://doi.org/10.1109/iccece48148.2020.9223097
https://doi.org/10.1109/iccece48148.2020.9223097