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David A. Wood

dwa energy limited

64H-index
562Paper Count
1.7WCitation Count
Published Papers 128
Publication Date
Physics-informed machine learning in petroleum engineering: advances, applications, and future directions
err2026-08-05
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PREAI
errShadfar Davoodi; David A. Wood; Mohammed Al-Shargabi; Vladimir Vanovskiy; Valeriy Rukavishnikov; Evgeny Burnaev
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Hybrid deep learning predictions of interfacial tension in hydrogen-brine-cushion-gas systems: Implications for underground hydrogen storage
errFuel
IF7.5
err2026-05-29
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PREAI
errPromise Longe; Shadfar Davoodi; Nikita Makarov; David A. Wood; Mohammad Mehrad; Evgeny Burnaev
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Advances in Underground Gas Storage: A Review of Current Practices and Future Prospects
err2026-04-30
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errOAAI
errShadfar Davoodi; Mohammed Al-Shargabi; David A. Wood; Hung Vo Thanh; Nikita Makarov; Mikhail Podgaetsky
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A review of artificial intelligence techniques applied to subsurface oil and gas reservoir simulation
err2026-04-17
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PREAI
errShadfar Davoodi; Nikita Makarov; David A. Wood; Mohammed Al-Shargabi; Vladimir Vanovskiy; Dmitry Koroteev; Valeriy S. Rukavishnikov; Evgeny Burnaev
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Microbial reactions at gas–liquid and solid–liquid interfaces in underground hydrogen storage
err2025-12-20
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PREAI
errGloire Imani; Lei Zhang; Eike Marie Thaysen; David A. Wood; Aliakbar Hassanpouryouzband; Dongyan Fan; Shuaishi Fu; Yongfei Yang; Jun Yao; Hai Sun
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Explainable machine-learning workflow to improve real-time lithofacies identification using mudlogging data from a heterogeneous clastic reservoir sequence
err2025-12-15
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PREAI
errFetni, Yasmina; Ameur-Zaimeche, Ouafi; Wood, David A.; Heddam, Salim; Al-Mudhafar, Watheq J.; Kechiched, Rabah
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Emerging applications of physics-informed and physics-guided machine learning in geoenergy science: A review
err2025-11-29
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PREAI
errShadfar Davoodi; David A. Wood; Mohammed Al-Shargabi; Vladimir Vanovskiy; Valeriy Rukavishnikov; Evgeny Burnaev
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Hybrid intelligent models for water activity prediction in complex ionic liquid systems
err2025-11-25
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PREAI
errShadfar Davoodi; Hung Vo Thanh; David A. Wood; Nikita Makarov; Mohammad Mehrad; Evgeny Burnaev
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Hybrid machine-learning and optimization models for precise determination of pore pressure changes in subsurface reservoirs
err2025-11-03
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PREAI
errDavoodi, Shadfar; Hung Vo Thanh; Vanovskiy, Vladimir; Wood, David A.; Al-Shargabi, Mohammed; Mehrad, Mohammad
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Performance evaluation of a thermally stable terpolymer drilling fluid additive: Filtration behavior and theoretical rheology modeling
err2025-11-01
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PREAI
errDavoodi, Shadfar; Moghaddam, Ali Kariman; Ramazani, S. A. Ahmad; Wood, David A.; Al-Shargabi, Mohammed; Minaev, Konstantin M.
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Deep learning schemes for predicting deliverability from different underground gas storage reservoir types
err2025-11-01
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PREAI
errDavoodi, Shadfar; Thanh, Hung Vo; Wood, David A.; Mehrad, Mohammad; Al-Shargabi, Mohammed; Rukavishnikov, Valeriy S.
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Calibration of Rock Mechanical Models Using Nanoindentation and Borehole Image Logs: A Case Study from the Southern Perth Basin, Western Australia
err2025-10-31
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PREAI
errJafarzadeh, Najmeh; Rezagholilou, Alireza; Kadkhodaie, Ali; Elyasi, Ayub; Wood, David A.; Makarian, Esmael; Soleimani, Bahman
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Prediction of oil production rate in multiple wells of a producing field applying combined deep–learning and optimization techniques
errFuel
IF7.5
err2025-09-16
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PREAI
errNikita Makarov; Mohammed Al-Shargabi; David A. Wood; Evgeny Burnaev; Shadfar Davoodi
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Estimation of FMI-derived fracture aperture from conventional petrophysical well logs applying ensemble machine learning methods
err2025-09-01
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PREAI
errVijouyeh, Ali Gholami; Kadkhodaie, Ali; Sedghi, Mohammad Hassanpour; Vijouyeh, Hamed Gholami; Wood, David A.
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