Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ben Flack"'
Autor:
Foluke Ajisafe, Kim Hemsley, Christopher Taylor, Manoj Vallikkat Thachaparambil, Efe Ejofodomi, Donald Lee, Ben Flack
Publikováno v:
Day 2 Wed, February 10, 2016.
The objective of this study is to prove the concept of using a seismically derived discrete fracture network (DFN) calibrated with borehole measurements, for complex hydraulic fracture modeling. This study was successfully applied on a two-well horiz
Autor:
Randy Utech, Colin M. Sayers, George Bunge, Sheila Noeth, Bill Troyer, Ben Flack, Ran Bachrach, Mita Sengupta, Lennert D. den Boer, Lei Leu, Patrick J. Hooyman, Niranjan Banik, Jerry Moore
Publikováno v:
The Leading Edge. 26:590-595
To optimize drilling decisions and well planning in overpressured areas, it is essential to carry out pore-pressure predictions before drilling. Knowledge of pore pressure implies knowledge of the effective stress, which is a key input for several ge
Publikováno v:
Beijing 2009 International Geophysical Conference and Exposition, Beijing, China, 24–27 April 2009.
Publikováno v:
Beijing 2009 International Geophysical Conference and Exposition, Beijing, China, 24–27 April 2009.
Autor:
Jianchun Dai, Sheila Noelth, Jerry Moore, Bill Troyer, Ben Flack, Randy Utech, Niranjan Banik, Ran Bachrach, Mita Sengupta, George Bunge, Lei Leu
Publikováno v:
SEG Technical Program Expanded Abstracts 2006.
Summary Effective stress is a key attribute that enables the prediction of subsurface lithology units in overpressured basins. Because the seismic response of shales and sand depends on their compaction history, the effective stress will govern the s
Autor:
Jose Camara, Francisco Gonzalez Pineda, Richard Salter, Marc Beller, Dianna Shelander, Nick Moldoveanu, Diana Gillespie, Ben Flack
Publikováno v:
SEG Technical Program Expanded Abstracts 2005.
Publikováno v:
Offshore Technology Conference.
Autor:
Francisco Gonzalez Pineda, Marc Beller, Dianna Shelander, J. Camara, Richard Salter, Nick Moldoveanu, Diana Gillespie, Ben Flack
Publikováno v:
Offshore Technology Conference.
Autor:
Antoun Salama, Duane Pierce, Randy Utech, Ron McWhorter, Ben Flack, Adam Koesoemadinata, Robert Spark, Ran Bachrach, George Bunge, Haibin Xu, Mita Sengupta, Niranjan Banik
Publikováno v:
SEG Technical Program Expanded Abstracts 2005.
Multiattribute seismic inversion (MASI) is a newly developed prestack inversion technique for inverting seismic data into elastic parameter attributes. The method integrates several major technologies (Roberts, et al., 2005), including AVO processing