Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Guenther Glatz"'
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Rock physics diagnostics (RPD) established based upon the well data are used to deterministically predict elastic properties of rocks from measured petrophysical rock parameters. However, with the recent advances in statistical methods, machine learn
Externí odkaz:
https://doaj.org/article/19d1baf05f5644a1be0dba2cdb308876
Autor:
Miao Jin, Qinzhuo Liao, Shirish Patil, Abdulazeez Abdulraheem, Dhafer Al-Shehri, Guenther Glatz
Publikováno v:
ACS Omega, Vol 7, Iss 28, Pp 24145-24156 (2022)
Externí odkaz:
https://doaj.org/article/9d6a5813a9f441ea938cfb59226e216e
Autor:
Mahmoud Elsayed, Guenther Glatz, Ammar El-Husseiny, Abdullah Alqubalee, Abdulrauf Adebayo, Karem Al-Garadi, Mohamed Mahmoud
Publikováno v:
ACS Omega, Vol 5, Iss 12, Pp 6545-6555 (2020)
Externí odkaz:
https://doaj.org/article/2863d97182844dc8933bd8937e4d34e2
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 21, p 12767 (2022)
We performed molecular dynamics simulation to elucidate the adsorption behavior of hydrogen (H2), carbon dioxide (CO2), and methane (CH4) on four sub-models of type II kerogens (organic matter) of varying thermal maturities over a wide range of press
Externí odkaz:
https://doaj.org/article/3ab66da593964fb6bc213b866b0cbf44
Autor:
Khalid L. Alsamadony, Ertugrul U. Yildirim, Guenther Glatz, Umair Bin Waheed, Sherif M. Hanafy
Publikováno v:
Sensors, Vol 21, Iss 5, p 1921 (2021)
Deep neural networks have received considerable attention in clinical imaging, particularly with respect to the reduction of radiation risk. Lowering the radiation dose by reducing the photon flux inevitably results in the degradation of the scanned
Externí odkaz:
https://doaj.org/article/5884539836634a4db1ed0d8fcc8bfc9b
Autor:
Arshad Raza, Saad Alafnan, Guenther Glatz, Muhammad Arif, Mohamed Mahmoud, Mohamed Gamal Rezk
Publikováno v:
Energy & Fuels. 36:15013-15022
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9325e465ad83171e6bb92b86afe06c68
https://doi.org/10.1021/acs.energyfuels.2c03070
https://doi.org/10.1021/acs.energyfuels.2c03070
Autor:
Amro Othman, Guenther Glatz, Murtada Saleh Aljawad, Saad Alafnan, Sulaiman A. Alarifi, Mustafa Al Ramadan
Publikováno v:
ACS Omega. 7:32829-32839
Measuring the mechanical properties of kerogen, the predominant constituent of organic matter in shale is exceedingly difficult as it constitutes small-scale aggregates interspersed in rocks. Kerogen is characterized by significantly lower stiffness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e178d96d16351c1aed8cb472524dc847
https://doi.org/10.1021/acsomega.2c03136
https://doi.org/10.1021/acsomega.2c03136
Publikováno v:
Energy & Fuels. 36:6695-6710
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c98314cfd74af521e983c2de4a17b07e
https://doi.org/10.1021/acs.energyfuels.2c01469
https://doi.org/10.1021/acs.energyfuels.2c01469
Autor:
Arnoud Slootman, Max de Kruijf, Guenther Glatz, Joris T. Eggenhuisen, Rainer Zühlke, John J.G. Reijmer
Publikováno v:
Sedimentology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1427c7a962c6aa9ecf82af7a49288d5
https://doi.org/10.1111/sed.13103
https://doi.org/10.1111/sed.13103
Publikováno v:
Day 1 Mon, October 03, 2022.
Rock physics transforms established on the well data play an important role in predicting seismic rock properties. However, a data-driven approach, such as machine learning, can also estimate the targeted outputs from the well data. This study aims a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84d43ebdb480a732173b8f15fd119255
https://doi.org/10.2118/210191-ms
https://doi.org/10.2118/210191-ms