Projects per year
Personal profile
Research interests
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Strength characterization of fiber-reinforced soft soil treated with industrial waste pozzolanic stabilizer under CO2 exposure
Syed, M. (PI), Al-Shayea, N. (CoI), Abdulraheem, A. (CoI), Aziz, M. (CoI), Al-Shammari, A. (CoI) & Assaggaf, R. (CoI)
1/01/24 → 31/12/24
Project: Research
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Application of Machine Learning for Formation Tops Prediction While Drilling
Elkatatny, S. (PI), Al-Herz, A. (CoI) & Abdulraheem, A. (CoI)
1/12/22 → 1/12/23
Project: Research
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Application of Thermochemicals to Enhance Stimulated Reservoir Volume
Abdulraheem, A. (PI)
21/01/18 → 20/07/20
Project: Research
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Qusaiba Member Shale Gas Reservoir Characterization: Outcrop Analog Approach from Northwest Saudi Arabia
Abdullatif, O. (PI), Abdulraheem, A. (CoI), Babalola, L. (CoI), Hariri, M. (CoI), Korvin, G. (CoI) & Muhammadain, A. (CoI)
1/09/15 → 1/10/17
Project: Research
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Model Implementation of Dynamic Array Saturations for Khuff and Pre-Khuff.
Abdulraheem, A. (PI)
18/03/14 → 17/03/16
Project: Research
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A Comprehensive Overview of Depositional and Diagenetic Control on Pore System Within Turbiditic-Influenced intra-Qusaiba Fine-Grained Sandstone Outcrop, Tabuk Basin, Northern Saudi Arabia
Abdlmutalib, A., Abdullatif, O., Abdulraheem, A. & Kaminski, M., Jul 2024, In: Arabian Journal for Science and Engineering. 49, 7, p. 9757-9779 23 p.Research output: Contribution to journal › Article › peer-review
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Acoustic impedance prediction based on extended seismic attributes using multilayer perceptron, random forest, and extra tree regressor algorithms
Surachman, L. M., Abdulraheem, A., Al-Shuhail, A. & Kaka, S. I., 2024, (Accepted/In press) In: Journal of Petroleum Exploration and Production Technology.Research output: Contribution to journal › Article › peer-review
Open Access -
Application of machine learning and deep learning in geothermal resource development: Trends and perspectives
Al-Fakih, A., Abdulraheem, A. & Kaka, S., 2024, (Accepted/In press) In: Deep Underground Science and Engineering.Research output: Contribution to journal › Review article › peer-review
Open Access -
Big Data Analysis Using Unsupervised Machine Learning: K-means Clustering and Isolation Forest Models for Efficient Anomaly Detection and Removal in Complex Lithologies
Janjua, A. N., Abdulraheem, A. & Tariq, Z., 2024, International Petroleum Technology Conference, IPTC 2024. International Petroleum Technology Conference (IPTC), (International Petroleum Technology Conference, IPTC 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Deep learning with improved hybrid neuro-turning for predictive control of flux based on experimental DCMD module design of water desalination system
Shamet, O., Abba, S. I., Usman, J., Lawal, D. U., Abdulraheem, A. & Aljundi, I. H., Aug 2024, In: Journal of Water Process Engineering. 65, 105835.Research output: Contribution to journal › Article › peer-review