Ph.D. in Petroleum Engineering, King Fahad University of Petroleum & Minerals, KSA 2022
MSc. in Petroleum Engineering, King Fahad University of Petroleum & Minerals, KSA 2019
BSc in Petroleum Engineering, King Fahad University of Petroleum & Minerals, KSA 2016
37
Scopus Publications
723
Scholar Citations
15
Scholar h-index
20
Scholar i10-index
Scopus Publications
Optimizing drilling fluid rheology: The role of particle size distribution and advanced rheological modelling Jaber Al Jaberi, Badr Bageri Canadian Journal of Chemical Engineering, 2026 This study presents the first integrated evaluation of how particle size distribution (PSD) of weighting materials affects both the rheological behaviour of water‐based drilling fluids and the predictive accuracy of advanced rheological models. The originality lies in using complete mud formulations with multiple weighting materials, baryte, haematite, ilmenite, and Micromax, in both raw and milled forms, which enables a broader assessment than previously reported. Practically, the findings offer a pathway to optimize drilling fluid design for better viscosity control, improved wellbore stability, and reduced formation damage. Experimentally, reducing the D50 of baryte from 17.78 to 3.13 μm and haematite from 12.49 to 3.60 μm led to an approximate 50% increase in plastic viscosity and over 70% increase in yield point at a density of 16 ppg. Rheological models including Newtonian, Bingham Plastic, Power Law, Herschel–Bulkley, and Cross were applied, with Herschel–Bulkley and Cross models yielding R2 values near 1.0 and RMSE as low as 0.23. Notably, finer particle sizes were better captured by advanced models, with Herschel–Bulkley and Cross outperforming simpler models, particularly at higher mud densities. These results demonstrate the critical role of PSD not only in fluid behaviour but also in selecting accurate rheological models for better prediction and formulation strategies. These results demonstrate the critical role of PSD not only in fluid behaviour but also in the selection of accurate rheological models for better prediction and formulation strategies.
Enhancing Filter Cake Sealing in Ilmenite-Based Drilling Fluids Using Perlite: Performance Across Varied Densities and Filtration Media Jaber B. Al Jaberi, Badr Bageri, Abdulrauf Rasheed Adebayo, Salaheldin M. Elkatatny ACS Omega, 2025 In the realm of drilling operations, formulating drilling fluid is substantial for efficient and successful wellbore construction. This study delves into the effectiveness of perlite as a primary filtration additive in water-based mud formulations, particularly in addressing challenges associated with varied ilmenite mud densities. Experimental investigations were conducted using samples with incremental ilmenite densities, ranging from 10 to 17.5 ppg, with and without adding perlite. Filtration tests were conducted by using filter paper, ceramic disk, and core samples. Assessment of drilling fluid properties, including rheological measurements and filtration behavior, was conducted to evaluate the mud formulation performance under different conditions. The study identified a critical density threshold exceeding 15 ppg, where significant issues such as elevated filtration volume and thick filter cakes emerged, indicating stability concerns. The addition of perlite reduced the filtration volume by up to 71% and the filter cake thickness by 52% at higher densities. While perlite did not entirely prevent formation damage, it minimized core permeability reduction by up to 70% and porosity decline by 51%. Additionally, perlite exhibited some capability in enhancing the drilling mud viscosity and rheological properties, contributing to improved cutting carrying capacity and hole-cleaning processes. Perlite proved to be an effective additive in improving the filtration and rheological properties of water-based mud, addressing the critical challenges associated with high ilmenite mud densities. Its ability to reduce formation damage and solid invasion and enhance mud performance will reflect positively on other practical drilling parameters including the rate of penetration, wellbore stability, and efficient drilling operations.
Mitigating Stuck Pipe by Predicting Filter Cake Thickness Using Artificail Intellgence Jaber Al Jaberi, Badr Bageri SPE Middle East Oil and Gas Show and Conference Meos Proceedings, 2025 The primary objective of this paper is to mitigate stuck pipe incidents by accurately predicting filter cake thickness using advanced Artificial Intelligence (AI) techniques. A thin, impermeable filter cake is crucial for minimizing formation damage and preventing costly operational delays caused by stuck pipe issues. This study explores the application of AI models to estimate filter cake thickness using readily available drilling fluid properties. This work employs three AI-based techniques—Artificial Neural Networks (ANN), Fuzzy Logic (FL), and Functional Networks (FN)—to predict the filter cake thickness. Data for model training and testing were obtained from experiments conducted using real-field oil-based mud samples with CaCO3 as a weighting agent. Input parameters include apparent viscosity, plastic viscosity, yield point, and drilling fluid density. The models were evaluated using different data splits for training and testing, and their accuracy was assessed using the correlation coefficient (R2) and the arctangent absolute percentage error (AAPE). The results demonstrated strong prediction capabilities across all AI models, with R2 values exceeding 0.84 and AAPE below 5%. Among the models, the Functional Network (FN) outperformed others, achieving an R2 of 0.91 for training and 0.92 for testing, with corresponding AAPE values of 2.8% and 3.9%, respectively. These findings indicate that AI-driven models can provide reliable estimates of filter cake thickness, enabling proactive measures to mitigate stuck pipe incidents. This approach offers significant cost-saving potential by preventing unplanned downtime and optimizing drilling operations. This paper presents a novel application of AI techniques, specifically Functional Networks, for predicting filter cake thickness in real-field scenarios. By utilizing common drilling fluid properties, this study provides a cost-effective, data-driven approach to mitigating stuck pipe risks, offering new insights and practical solutions for the petroleum industry.
Insights Into Barite Particle Size and Perlite Integration to Advanced Drilling Fluids Efficiency J Al Jaber, B Bageri, A Alsaleem, Y Alshehri, S Patil Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon … , 2026 2026
Upcycling Steelmaking Slag as a Sustainable Deep-Well Drilling Weighting Agent: Performance, Mechanisms, and Environmental Impacts J Al Jaberi, B Bageri Arabian Journal for Science and Engineering, 1-13 , 2026 2026
Optimizing drilling fluid rheology: The role of particle size distribution and advanced rheological modelling J Al Jaberi, B Bageri The Canadian Journal of Chemical Engineering 104 (3), 1223-1237 , 2026 2026
Perlite-modified micromax-based drilling fluids: improved filtration control and rheological performance JB Al Jaberi, B Bageri, S Elkatatny Journal of Petroleum Exploration and Production Technology , 2026 2026
The Role of pH and Alkali Salts on Corrosion Indices of EDTA Solutions in Oilfield Applications J Al Jaberi, R AlBoraikan, B Bageri, TI Solling, M Mahmoud Arabian Journal for Science and Engineering 50 (24), 21445-21453 , 2025 2025
Plastic Waste as a Sustainable Loss Circulation Material for Preventing Fluid Loss in High-Permeability Formations B Zumarah, R Alodily, A Abdulhamid, J Aljabri, A Alsuhaibani SPE Middle East Oil and Gas Show and Conference, D011S029R001 , 2025 2025
Revolutionizing Drilling Fluids: Granite Waste as a Cost-Effective Bridging Material R Alodily, B Zumarah, A Abdulhamid, J Aljabri, SM Elkatatny, F Alzahrani SPE Middle East Oil and Gas Show and Conference, D011S020R005 , 2025 2025
Mitigating Stuck Pipe by Predicting Filter Cake Thickness Using Artificail Intellgence JA Jaberi, B Bageri SPE Middle East Oil and Gas Show and Conference, D021S060R005 , 2025 2025
Repurposing steel byproducts for sustainable utilization as a novel weighting agent in drilling fluids J Al Jaberi, A Binafeef, B Bageri Journal of Molecular Liquids 432, 127840 , 2025 2025 Citations: 2
Enhancing Filter Cake Sealing in Ilmenite-Based Drilling Fluids Using Perlite: Performance Across Varied Densities and Filtration Media JB Al Jaberi, B Bageri, AR Adebayo, SM Elkatatny ACS omega 10 (24), 25697-25707 , 2025 2025 Citations: 2
Influence of perlite on the stability of filter cake in low-density drilling fluids system J Al Jaberi, B Bageri, G Alzaidi, A Alruhaili Geoenergy Science and Engineering 243, 213305 , 2024 2024 Citations: 2
The impact of particle size distribution of haematite‐based drilling fluid on perlite functionality J Al Jaber, B Bageri, Y Alshehri, W Otain The Canadian Journal of Chemical Engineering 102 (12), 4230-4240 , 2024 2024 Citations: 1
Fine-tuning filter cake sealing performance: The role of particle size in hematite weighted water-based drilling fluid J Al Jaberi, B Bageri, W Otain, A Alsaleem, AR Adebayo ACS omega 9 (23), 25084-25093 , 2024 2024 Citations: 7
Understanding the complexity of secondary formation damage: mechanism and detection strategies during filter cake removal process B Bageri, J Al Jaberi, AR Adebayo, A Barri, TI Solling, RB Salin Geoenergy Science and Engineering 231, 212287 , 2023 2023 Citations: 9
Method of inhibiting carbon dioxide hydrate formation AS SULTAN, T Saikia, J AL JABERI US Patent 11,807,789 , 2023 2023
Perlite containing drilling fluids and uses thereof BSB GERI, A ADEBAYO, J Al Jaberi, S PATIL US Patent 11,760,913 , 2023 2023 Citations: 2
Evaluating the corrosion index of DTPA at different conditions-key of improving the performance of chelating agents in field treatments B Bageri, J Al Jaberi, TI Solling, A Sultan, D Badhafere, S Patil Geoenergy Science and Engineering 223, 211574 , 2023 2023 Citations: 5
Performance of Perlite as viscosifier in manganese tetroxide water based-drilling fluid J Al Jaberi, B Bageri, S Elkatatny, T Solling Journal of Molecular Liquids 374, 121218 , 2023 2023 Citations: 18
Effect of Hematite Dosage on Water-Based Drilling Fluid and Filter Cake Properties B Bageri, JA Jaberi, S Elkatatny Journal of Energy Resources Technology 145 (3), 031601 , 2023 2023 Citations: 4
Application of metal organic frameworks for the inhibition of CO2 hydrates in gas dominated pipelines T Saikia, J Al-Jaberi, JS Al Hamad, A Helal, A Sultan Gas Science and Engineering 110, 204879 , 2023 2023 Citations: 6
MOST CITED SCHOLAR PUBLICATIONS
A review on non-aqueous fracturing techniques in unconventional reservoirs S Kalam, C Afagwu, J Al Jaberi, OM Siddig, Z Tariq, M Mahmoud, ... Journal of Natural Gas Science and Engineering 95, 104223 , 2021 2021 Citations: 114
Effect of perlite particles on the filtration properties of high-density barite weighted water-based drilling fluid BS Bageri, AR Adebayo, J Al Jaberi, S Patil Powder Technology 360, 1157-1166 , 2020 2020 Citations: 97
Evaluation of secondary formation damage caused by the interaction of chelated barite with formation rocks during filter cake removal BS Bageri, AR Adebayo, A Barri, J Al Jaberi, S Patil, SR Hussaini, ... Journal of Petroleum Science and Engineering 183, 106395 , 2019 2019 Citations: 59
The impact of pore structure and adsorption behavior on kerogen tortuosity C Afagwu, S Al-Afnan, S Patil, J Aljaberi, MA Mahmoud, J Li Fuel 303, 121261 , 2021 2021 Citations: 51
Effect of perlite particles on the properties of oil-well class G cement B Bageri, A Ahmed, J Al Jaberi, S Elkatatny, S Patil Journal of Petroleum Science and Engineering 199, 108344 , 2021 2021 Citations: 44
Prevention of hematite settling using perlite in water-based drilling fluid S Basfar, J Al Jaberi, S Elkatatny, BS Bageri Journal of Petroleum Science and Engineering 210, 110030 , 2022 2022 Citations: 33
The impact of kerogen tortuosity on shale permeability J Aljaberi, S Alafnan, G Glatz, AS Sultan, C Afagwu SPE Journal 26 (02), 765-779 , 2021 2021 Citations: 33
Evaluating drilling fluid infiltration in porous media–comparing NMR, gravimetric, and X-ray CT scan methods BS Bageri, AR Adebayo, J Al Jaberi, S Patil, RB Salin Journal of Petroleum Science and Engineering 198, 108242 , 2021 2021 Citations: 30
The role of drilled formation in filter cake properties utilizing different weighting materials J Al Jaber, BS Bageri, H Gamal, S Elkatatny ACS omega 6 (37), 24039-24050 , 2021 2021 Citations: 28
Molecular fractionation in the organic materials of source rocks S Alafnan, AS Sultan, J Aljaberi ACS omega 5 (30), 18968-18974 , 2020 2020 Citations: 24
Improving filter cake sealing properties for high-density ilmenite drilling fluid B Bageri, J AlJaberi, O Siddig, AR Adebayo, S Elkatatny Journal of Petroleum Science and Engineering 218, 111057 , 2022 2022 Citations: 22
Evaluation of formation damages during filter cake deposition and removal process: The effect of primary damage on secondary damage J Al Jaberi, BS Bageri, AR Adebayo, S Patil, A Barri, RB Salin Petroleum Science 18 (4), 1153-1162 , 2021 2021 Citations: 22
Performance of Perlite as viscosifier in manganese tetroxide water based-drilling fluid J Al Jaberi, B Bageri, S Elkatatny, T Solling Journal of Molecular Liquids 374, 121218 , 2023 2023 Citations: 18
Primary investigation of barite-weighted water-based drilling fluid properties J Al Jaberi, B Bageri, S Elkatatny, S Patil Acs Omega 8 (2), 2155-2163 , 2023 2023 Citations: 17
Insight into secondary posterior formation damage during barite filter cake removal in calcite formations JB Al Jaberi, BS Bageri, A Barri, A Adebayo, S Patil, R Babu, ... International Petroleum Technology Conference, D022S157R003 , 2020 2020 Citations: 17
Minimizing the barite scale in carbonate formations during the filter cake removal process JA Jaberi, A Ahmed, B Bageri, M Elsayed, M Mahmoud, S Patil, ... ACS omega 7 (21), 17976-17983 , 2022 2022 Citations: 15
A calibration method for estimating mudcake thickness and porosity using NMR data AR Adebayo, BS Bageri, J Al Jaberi, RB Salin Journal of Petroleum Science and Engineering 195, 107582 , 2020 2020 Citations: 15
Improving the filtration properties for manganese tetroxide mud utilizing perlite particles to drill wide-range permeability sandstone formation JB Al Jaberi, B Bageri, S Elkatatny Scientific Reports 12 (1), 18445 , 2022 2022 Citations: 11
Calculation of sulfur deposition in gas condensate wells in Middle East J Al-Jaberi, K Al-Azani, M Fraim SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition … , 2017 2017 Citations: 11
Improvement of well cementing properties using perlite particles A Ahmed, B Bageri, J Al Jaberi, S Elkatatny, S Patil ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2021-1666 , 2021 2021 Citations: 10
