David A. Wood - RankMe

19 papers Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Emerging applications of physics-informed and physics-guided machine learning in geoenergy science: A review. Commun. Nonlinear Sci. Numer. Simul. Shadfar Davoodi, David A. Wood, Mohammed Al-Shargabi, Vladimir Vanovskiy, Valeriy S. Rukavishnikov, Evgeny Burnaev
2025	J	`jnl`	A robust hybrid near-real-time model for prediction of drilling fluids filtration. Eng. Comput. Shadfar Davoodi, Mohammed Al-Shargabi, David A. Wood, Mohammad Mehrad, Valeriy S. Rukavishnikov
2025	J	`jnl`	Advancement of artificial intelligence applications in hydrocarbon well drilling technology: A review. Appl. Soft Comput. Shadfar Davoodi, Mohammed Al-Shargabi, David A. Wood, Mohammad Mehrad
2025	J	`jnl`	Enhancing formation bulk density prediction while drilling using mud logging data and interpretable boosting machine learning. Earth Sci. Informatics Ayoub Boutaghane, Ouafi Ameur-Zaimeche, Salim Heddam, Rabah Kechiched, Nasreddine Tahar-Belkacem, Abdelhamid Ouladmansour, Watheq J. Al-Mudhafar, David A. Wood
2024	J	`jnl`	A novel data-driven model for real-time prediction of static Young's modulus applying mud-logging data. Earth Sci. Informatics Shadfar Davoodi, Mohammad Mehrad, David A. Wood, Mohammed Al-Shargabi, Grachik Eremyan, Tamara Shulgina
2024	J	`jnl`	Combined deep-learning optimization predictive models for determining carbon dioxide solubility in ionic liquids. J. Ind. Inf. Integr. Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Mohammad Reza Hajsaeedi, Valeriy S. Rukavishnikov
2024	J	`jnl`	Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern - a theoretical study. Expert Syst. Appl. Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Mohammed Al-Shargabi, Valeriy S. Rukavishnikov
2023	J	`jnl`	Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations. Appl. Soft Comput. Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Valeriy S. Rukavishnikov
2023	J	`jnl`	Deep ensemble learning for high-dimensional subsurface fluid flow modeling. Eng. Appl. Artif. Intell. Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen, Fei Ma
2023	J	`jnl`	Fourier Neural Operator for Fluid Flow in Small-Shape 2D Simulated Porous Media Dataset. Algorithms Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen, Fei Ma
2023	J	`jnl`	Grayscale Image Statistical Attributes Effectively Distinguish the Severity of Lung Abnormalities in CT Scan Slices of COVID-19 Patients. SN Comput. Sci. Sara Ghashghaei, David A. Wood, Erfan Sadatshojaei, Mansooreh Jalilpoor
2023	J	`jnl`	Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids. Eng. Appl. Artif. Intell. Shadfar Davoodi, Mohammad Mehrad, David A. Wood, Hamzeh Ghorbani, Valeriy S. Rukavishnikov
2023	J	`jnl`	Improving permeability prediction in carbonate reservoirs through gradient boosting hyperparameter tuning. Earth Sci. Informatics Mohammed A. Abbas, Watheq J. Al-Mudhafar, David A. Wood
2023	J	`jnl`	Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites. Expert Syst. Appl. Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Valeriy S. Rukavishnikov, Zhenxue Dai
2023	J	`jnl`	Weekly carbon dioxide exchange trend predictions in deciduous broadleaf forests from site-specific influencing variables. Ecol. Informatics David A. Wood
2022	J	`jnl`	Carbonate / siliciclastic lithofacies classification aided by well-log derivative, volatility and sequence boundary attributes combined with machine learning. Earth Sci. Informatics David A. Wood
2020	J	`jnl`	Applying separately cost-sensitive learning and Fisher's discriminant analysis to address the class imbalance problem: A case study involving a virtual gas pipeline SCADA system. Int. J. Crit. Infrastructure Prot. Abouzar Choubineh, David A. Wood, Zahak Choubineh
2019	J	`jnl`	A machine learning approach to predict drilling rate using petrophysical and mud logging data. Earth Sci. Informatics Mohammad Sabah, Mohsen Talebkeikhah, David A. Wood, Rasool Khosravanian, Mohammad Anemangely, Alireza Younesi
2018	J	`jnl`	A critical-path focus for earned duration increases its sensitivity for project-duration monitoring and forecasting in deterministic, fuzzy and stochastic network analysis. J. Comput. Methods Sci. Eng. David A. Wood