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Keywords: elkatatny
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Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0444
... cement sample reservoir geomechanics vermiculite casing and cementing asia government cement geological subdiscipline permeability density variation vermiculite particle oil well cement vermiculite cement young viscosity base cement cement slurry poisson elkatatny ARMA 23 0444...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0722
... and materials united states government complex reservoir upstream oil & gas well control drilling fluid management & disposal geological subdiscipline abdelaal ecd data reservoir characterization drilling data abdulraheem accuracy equivalent circulation density prediction elkatatny...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0730
... et al., 2018a; 2018b; Ahmed et al., 2019; 2020a; 2020b; 2023; Mahmoud and Elkatatny, 2019; 2020a; Chen et al, 2022). The environmental issue is one kind of problem that the industry needs to solve. Finding a much "greener" additive and process that provides high-quality cement is one thing...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0734
... subdiscipline permeability 10-min gel strength concentration gel strength commercial retarder mahmoud composition plastic viscosity olive waste content compressive strength elkatatny incorporation ARMA 23 0734 The Effect of the Olive Waste on the Rheological Properties, Thickening Time...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0492
... compressive strength poisson weighting material particle size geological subdiscipline permeability cement slurry agent young iron oxide cement property slurry drilling fluid chemistry tensile strength elkatatny mahmoud hematite weighting agent specific gravity ARMA 23 0492 Heavyweight...
Proceedings Papers

Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0490
... strength elkatatny particle plastic viscosity cement sample weighting agent tensile strength ARMA 23 0490 The Effect of the Heavyweight Hematite, Magnetite, and Micromax on Class G Oil Well Cement Properties Dandi Alvayed Petroleum Engineering Department, King Fahd University of Petroleum...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0824
... stability analysis, effective mud program and reduced overall drilling time and cost (Tingay et al., 2009; Zoback, 2007). artificial intelligence neural network machine learning abdulraheem upstream oil & gas elkatatny journal petroleum engineer dataset gradient abdelaal artificial...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0822
... drilling fluid formulation drilling fluid property elkatatny abdulraheem hyperparameter accuracy artificial intelligence machine learning abdelaal baker hughe decision tree learning drilling fluid management & disposal drilling fluid chemistry rheology drilling drilling parameter mfv...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0623
..., good mechanical durability and the ability to be adapted during the changing conditions of the wellbore (Zhang et al., 2020). cement formulation nanoclay elkatatny cement chemistry casing and cementing upstream oil & gas cement property cement slurry cement sheath compressive...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0887
... random forest model abdulraheem neural network reservoir geomechanics architecture mahmoud correlation wellbore design artificial intelligence machine learning elkatatny rmse conference accuracy modulus mechanical earth model ARMA 22 887 Machine Learning Based Mechanical Earth Model...
Proceedings Papers

Paper presented at the 56th U.S. Rock Mechanics/Geomechanics Symposium, June 26–29, 2022
Paper Number: ARMA-2022-0934
...., 2004; Wilson, 2014). upstream oil & gas drilling fluid property drilling fluid chemistry eastern region drilling fluids and materials drilling fluid selection and formulation king fahd university drilling fluid formulation vermiculite elkatatny mineral exhibition saudi arabia...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1663
... & gas cement sample cement formulation petroleum & mineral elkatatny casing and cementing silica flour granite waste cement chemistry concentration porosity abdulmalek ahmed king fahd university compressive strength granite waste material mahmoud bwoc slurry ARMA 21 1663...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1666
... compressive strength cement sample cement slurry perlite particle elkatatny abdulmalek ahmed king fahd university cement formulation fluid loss control upstream oil & gas petroleum & mineral bwoc gel strength base cement permeability ARMA 21 1666 Improvement of Well Cementing...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1668
..., and completion and production strategies development (Onalo et al., 2018; Oloruntobi and Butt, 2018; Yusuf et al., 2019). reservoir characterization artificial intelligence accuracy prediction log analysis upstream oil & gas elkatatny proceedings bulk density machine learning well logging...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1907
... logs (Barree et al., 2009). reservoir characterization structural geology machine learning neural network artificial intelligence artificial neural networks-based equation empirical equation estimation mahmoud dyn elkatatny ann model dataset abdulraheem correlation empirical...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1987
... time and cost (Tingay et al., 2009; Zoback, 2007). artificial intelligence fuzzy logic abdulraheem machine learning neural network pore pressure gradient transfer function reservoir characterization upstream oil & gas elkatatny formation pressure prediction prediction petroleum...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1916
... drilling fluid management & disposal drilling operation upstream oil & gas accuracy king fahd university elkatatny exhibition neural network petroleum & mineral drilling parameter machine learning fuzzy logic abdulraheem correlation ecd artificial neural network model saudi...
Proceedings Papers

Paper presented at the 55th U.S. Rock Mechanics/Geomechanics Symposium, June 18–25, 2021
Paper Number: ARMA-2021-1914
...ARMA 21 1914 Generating the Rock Strength Profile While Drilling Complex Lithologies in real-time by Employing Artificial Neural Networks Gamal, H. King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia; Box: 5049 Gowida, A., Elkatatny, S., Abdulraheem, A., and Haidary, S. King...
Proceedings Papers

Paper presented at the 53rd U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2019
Paper Number: ARMA-2019-0509
... to predict wellbore instability with case history from the Niger Delta oil field in Nigeria Ahmadi et al. (2016) Prediction of mud weight at wellbore conditions Collected data from the literature Elkatatny et al. (2016); Abdelgawad et al. (2018a); Al-Azani et al. (2018) Drilling fluid rheological properties...
Proceedings Papers

Paper presented at the 53rd U.S. Rock Mechanics/Geomechanics Symposium, June 23–26, 2019
Paper Number: ARMA-2019-0036
... bulk density shear wave transit time neuron correlation coefficient Elkatatny porosity ANN model empirical model 1. INTRODUCTION Integration of Geomechanics is crucial in the development of unconventional resources since the current trend of exploration is moving more towards unconventional...

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