Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sean Boerner"'
Autor:
Patrick C. M. Wong, Sean Boerner
Publikováno v:
Computers & Geosciences. 30:91-100
Many reservoir problems require multiple regression solutions. As the training set is often small in practice, it is important to quantify the relative relevance of all input attributes (or drivers) and select only the significant ones. This paper co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db5d3f379c86cab9cfe21eb536be303f
https://doi.org/10.1016/j.cageo.2003.09.002
https://doi.org/10.1016/j.cageo.2003.09.002
Publikováno v:
Unconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013.
We identify remaining prospectivity in the Austin Chalk within an area of Wilson County, TX by integrating seismic inversion products, post-stack attributes, and publically available historical p roduction data using multivariate statistical analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3c75e96e91811ec8c16cfb2fdd6bd93
https://doi.org/10.1190/urtec2013-143
https://doi.org/10.1190/urtec2013-143
Autor:
Chris Grant, Michael Bryarly, Carole Decalf, Paul Mescher, Alfredo Marhx, Patrick Wong, Sean Boerner, Antonio Escalera, Hansel Gonzalez, Bill Bashore, Lou Chaboudy, Efrain Mendez
Publikováno v:
SEG Technical Program Expanded Abstracts 2004.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04a333b812a80d8b020416c29d2a4583
https://doi.org/10.1190/1.1839717
https://doi.org/10.1190/1.1839717
Autor:
Joe Zhou, Paul Mescher, Brad Bankhead, Efrain Mendez, Lou Chaboudy, Patrick Wong, Sean Boerner, Mario Valderrama, Sohail Faruqi, Hansel Gonzalez
Publikováno v:
SEG Technical Program Expanded Abstracts 2004.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0205b49be76fb415b553716c55e8506
https://doi.org/10.1190/1.1843321
https://doi.org/10.1190/1.1843321
Publikováno v:
All Days.
A non-subjective technique is presented to combine seismic based fracture detection from shear wave anisotropy with traditional well and structure data to produce a new generation of fracture intensity maps and volumes. Neural networks are easy to us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34e9cfce22487a3f6e5bafbcf7d48bab
https://doi.org/10.2118/84453-ms
https://doi.org/10.2118/84453-ms