المؤلفون: John Oluwadamilola Olutoki, Mohamed Elsaadany, Numair Ahmed Siddiqui, AKM Eahsanul Haque, Syed Haroon Ali, Alidu Rashid, Oluwaseun Daniel Akinyemi

المصدر: Results in Engineering, Vol 24, Iss , Pp 103494- (2024)

مصطلحات موضوعية: Reservoir characterization, Porosity prediction, Machine learning, Extreme gradient boosting, Geostatistical inversion, McKee, Technology

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123024017468; https://doaj.org/toc/2590-1230

URL الوصول: https://doaj.org/article/cffb0a7db24c42318dd13ae8fbada4b2

المؤلفون: John Oluwadamilola Olutoki, Jian-guo Zhao, Numair Ahmed Siddiqui, Mohamed Elsaadany, AKM Eahsanul Haque, Oluwaseun Daniel Akinyemi, Amany H. Said, Zhaoyang Zhao

المصدر: Energy Geoscience, Vol 5, Iss 4, Pp 100338- (2024)

مصطلحات موضوعية: Shear wave (S-wave) velocity, Direct and indirect measurement, Empirical relationship, Artificial intelligence (AI), Machine learning, Rock physics model, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666759224000532; https://doaj.org/toc/2666-7592

URL الوصول: https://doaj.org/article/b2559c7ddec74a10952d0a734a7acd8d

المؤلفون: John Oluwadamilola Olutoki, Numair Ahmed Siddiqui, AKM Eahsanul Haque, Oluwaseun Daniel Akinyemi, Hassan Salisu Mohammed, Yasir Bashir, Mohamed A.K. El-Ghali

المصدر: Journal of King Saud University: Science, Vol 36, Iss 6, Pp 103221- (2024)

مصطلحات موضوعية: Seismic inversion, Porosity, Neural network model, McKee Formation, Kapuni field, Taranaki Basin, Science (General), Q1-390

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1018364724001332; https://doaj.org/toc/1018-3647

URL الوصول: https://doaj.org/article/3b5817452bc0414fa76256e35029cc25

المؤلفون: Oluwaseun Daniel Akinyemi, Mohamed Elsaadany, Numair Ahmed Siddiqui, Sami Elkurdy, John Oluwadamilola Olutoki, Md Mahmodul Islam

المصدر: Results in Engineering, Vol 20, Iss , Pp 101528- (2023)

مصطلحات موضوعية: Gradient boosting model, Sonic wave transit time, Artificial neural network, Performance metrics, Geomechanical parameters, Niger Delta basin, Technology

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123023006552; https://doaj.org/toc/2590-1230

URL الوصول: https://doaj.org/article/605bf711bf4d40e98e79a3b8ef6cdcf2

المؤلفون: Md Mahmodul Islam, Ismailalwali Babikir, Mohamed Elsaadany, Sami Elkurdy, Numair A. Siddiqui, Oluwaseun Daniel Akinyemi

المصدر: Applied Sciences, Vol 13, Iss 20, p 11300 (2023)

مصطلحات موضوعية: fault detection, reservoir characterization, seismic images, convolutional neural network, variance attribute, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/13/20/11300; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/c18542b00a644443a1c10ce710fc2967

المؤلفون: Oluwaseun Daniel Akinyemi, Michael Ayuk Ayuk

المصدر: Arabian Journal of Geosciences. 15

مصطلحات موضوعية: General Earth and Planetary Sciences, General Environmental Science

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1038b7eba03960c3675daecf20be2cb3
https://doi.org/10.1007/s12517-022-09697-w

المؤلفون: Oluwaseun Daniel Akinyemi, Michael Ayuk Ayuk

المصدر: Arabian Journal of Geosciences. 15

مصطلحات موضوعية: General Earth and Planetary Sciences, General Environmental Science

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f7532507b6a5d82c2a6b811ab29c8373
https://doi.org/10.1007/s12517-021-09370-8

المؤلفون: Michael Ayuk Ayuk, Oluwaseun Daniel Akinyemi, Muraina Zaid Mohammed

المصدر: Journal of African Earth Sciences. 193:104592

مصطلحات موضوعية: Geology, Earth-Surface Processes

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::90b8382299beb2406053abaf3257a7c9
https://doi.org/10.1016/j.jafrearsci.2022.104592