Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Obeida El Jundi"'
Autor:
Hesham Hasan, Humberto Parra, Arshia Gerami, Manish Kumar Singh, Obeida El Jundi, Slobodan Stojic, Houcine Ben Jeddou, Tarik Gacem, Chakib Kada Kloucha, Hussein Mustapha
Publikováno v:
Day 1 Mon, October 31, 2022.
Placing horizontal wells in the correct zones of the producing reservoir in static/dynamic models is important for robust model quality and essential for production history matching. A laborious technique of manually generating correction points arou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f75a919cb774c4587c9cc69d2687dc2
https://doi.org/10.2118/211663-ms
https://doi.org/10.2118/211663-ms
Autor:
Manish Kumar Singh, Humberto Parra, Obeida El Jundi, Houcine Ben Jeddou, Chakib Kada Kloucha, Hussein Mustapha
Publikováno v:
Day 1 Mon, October 31, 2022.
Permeability modelling remains a major challenge in the reservoir modelling exercise. The main reason for this is the limited availability of measured input data and the effect of different geological processes on reservoir permeability. This leads t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9be8e5c3c20bbbd4902021627ad1b35b
https://doi.org/10.2118/211661-ms
https://doi.org/10.2118/211661-ms
Autor:
Samat Ramatullayev, Muzahidin Muhamed Salim, Muhammad Ibrahim, Hussein Mustapha, Obeida El Jundi, Nour El Droubi, Alaa Maarouf
Publikováno v:
Day 2 Tue, November 16, 2021.
In this paper, we discuss the development of an end-to-end waterflood optimization solution that provides monitoring and surveillance dashboards with artificial intelligence (AI) and machine learning (ML) components to generate and assess insights in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::003690e6f41ebedb974d751a6da89d98
https://doi.org/10.2118/207946-ms
https://doi.org/10.2118/207946-ms
Autor:
Maniesh Singh, Alaa Maarouf, Ali Razouki, Ridvan Akkurt, Arwa Ahmed Mawlod, Khalid Al Marzouqi, Obeida El Jundi, Khadija Al Daghar, Gennady Makarychev, Hussein Mustapha, Sami Shehab, Deepak Kumar Voleti
Publikováno v:
Day 2 Tue, November 10, 2020.
Mature field operators collect log data for tens of years. Collection of log dataset include various generation and multiple vintages of logging tool from multiple vendors. Standard approach is to correct the logs for various artefacts and normalize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3ff760396f97f35e6bcc976834bf050
https://doi.org/10.2118/202977-ms
https://doi.org/10.2118/202977-ms
Autor:
Obeida El Jundi, Alaa Maarouf, Kassem Ghorayeb, Arwa Ahmed Mawlod, Qazi Sami, Robert Merrill, Hussein Mustapha, Nour El Droubi
Publikováno v:
Journal of Petroleum Science and Engineering. 208:109658
Building machine learning (ML) models based on pressure-volume-temperature (PVT) data is of paramount importance to capture trends and predict fluid behavior in a very heterogeneous and highly nonlinear thermodynamic system. PVT samples stored in an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1586e839b8f038924dd48b580e30bef5
https://doi.org/10.1016/j.petrol.2021.109658
https://doi.org/10.1016/j.petrol.2021.109658
Autor:
Obeida El Jundi, Alaa Khaddaj, Gilbert Badaro, Alaa Maarouf, Hazem Hajj, Raslan Kain, Wassim El-Hajj
Publikováno v:
SemEval@NAACL-HLT
While significant progress has been achieved for Opinion Mining in Arabic (OMA), very limited efforts have been put towards the task of Emotion mining in Arabic. In fact, businesses are interested in learning a fine-grained representation of how user
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1594b7f0de55eb58250ed5e300a535e3
https://doi.org/10.18653/v1/s18-1036
https://doi.org/10.18653/v1/s18-1036