Predicting total organic carbon from few well logs aided by well-log attributes by David A. Wood

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Geomechanical brittleness index prediction for the Marcellus shale exploiting well-log attributes by David A. Wood

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Predicting saturated vapor pressure of LNG from density and temperature data with a view to improving tank pressure management by David A. Wood

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WHF Roadmap on Secondary Prevention of CVD by David A. Wood

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Net ecosystem carbon exchange prediction and insightful data mining with an optimized data-matching algorithm by David A. Wood

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Local integrated air quality predictions from meteorology (2015 to 2020) with machine and deep learning assisted by data mining by David A. Wood

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Enhancing lithofacies machine learning predictions with gamma-ray attributes for boreholes with limited diversity of recorded well logs by David A. Wood

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Integrated statistical and machine learning analysis provides insight into key influencing symptoms for distinguishing early‐onset type 2 diabetes by David A. Wood

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Optimized feature selection assists lithofacies machine learning with sparse well log data combined with calculated attributes in a gradational fluvial sequence by David A. Wood

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Brittleness index predictions from Lower Barnett Shale well-log data applying an optimized data matching algorithm at various sampling densities by David A. Wood

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Transparent open-box learning network and artificial neural network predictions of bubble-point pressure compared by David A. Wood, Abouzar Choubineh

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Enhanced application for FSRU recondensing equipment during periods of low or no gas send out to minimize LNG cargo losses by Maksym Kulitsa, David A. Wood

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Transparent machine learning provides insightful estimates of natural gas density based on pressure, temperature and compositional variables by David A. Wood, Abouzar Choubineh

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The impacts of gas impurities on the minimum miscibility pressure of injected CO2-rich gas–crude oil systems and enhanced oil recovery potential by Abouzar Choubineh, Abbas Helalizadeh, David A. Wood

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The application of deep learning algorithms to classify subsurface drilling lost circulation severity in large oil field datasets by Sajjad Mardanirad, David A. Wood, Hassan Zakeri

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Simulation of CO2 removal from ethane with Sulfinol-M+AMP solvent instead of DEA solvent in the South Pars phases 9 and 10 gas processing facility by Hassan Ghanbarabadi, Behnam Khoshandam, David A. Wood

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Machine learning and data-driven prediction of pore pressure from geophysical logs: A case study for the Mangahewa gas field, New Zealand by Ahmed E. Radwan, David A. Wood, Ahmed A. Radwan

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Natural fractures characterization by integration of FMI logs, well logs and core data: a case study from the Sarvak Formation (Iran) by Amir Mazdarani, Ali Kadkhodaie, David A. Wood, Zohreh Soluki

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Prediction of wellbore sand production potential from analysis of petrophysical data coupled with field stress: a case study from the Shah-Deniz gas field (Caspian Sea Basin) by Ali Gholami Vijouyeh, Mohammad Hassanpour Sedghi, David A. Wood

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Grayscale image statistics of COVID‐19 patient CT scans characterize lung condition with machine and deep learning by Sara Ghashghaei, David A. Wood, Erfan Sadatshojaei, Mansooreh Jalilpoor

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