Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Trey Peroyea"'
Autor:
Michael Behounek, Kirt McKenna, Taylor Thetford, Trey Peroyea, Michael Roberts, Julie Pearce, Gary Hickin, Pradeepkumar Ashok, Michael Yi, Dawson Ramos
Publikováno v:
Day 2 Wed, March 08, 2023.
During well construction, automatic monitoring of the sensor signals for drilling dysfunction detection through pattern recognition algorithms is key to improving rate of penetration (ROP) and preventing tool failure. The addition of physics-based mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5f76927416f586c7994b2610d0f2fe4
https://doi.org/10.2118/212515-ms
https://doi.org/10.2118/212515-ms
Autor:
Sebastian Prez, Santiago Callerio, Abraham Montes, Çinar Turhan, Pradeepkumar Ashok, Eric van Oort, Roger Pruitt, Taylor Thetford, Trey Peroyea, Michael Behounek
Publikováno v:
Day 1 Tue, March 07, 2023.
Observation of cuttings and cavings serves as an important early indicator for hole cleaning and wellbore instability problems. Automation of this critical monitoring process is, however, still in its infancy. This paper highlights the development an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0657ceebac3393ca37bfd6b3d317943d
https://doi.org/10.2118/212569-ms
https://doi.org/10.2118/212569-ms
Autor:
Michael Yi, Pradeepkumar Ashok, Dawson Ramos, Spencer Bohlander, Taylor Thetford, Mojtaba Shahri, Mickey Noworyta, Trey Peroyea, Michael Behounek
Publikováno v:
Day 2 Wed, March 09, 2022.
During the construction planning phase of any new well, drilling engineers often look at offset well data to identify information that could be used to drill the new well more efficiently. This is generally a time-consuming process. The objective was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aef35c43ccc7d8399366911d1cdde094
https://doi.org/10.2118/208745-ms
https://doi.org/10.2118/208745-ms