Results 211 to 220 of about 1,242,825 (373)

A Deep Learning Dataset for Pre‐Drill Geohazard Assessment in Taranaki Basin New Zealand

open access: yesGeoscience Data Journal, Volume 13, Issue 1, January 2026.
An open, comprehensive Taranaki Basin dataset that couples 17 well‐extracted seismic attributes with interpreted rock‐physical properties (pore pressure, caliper, logs) to enable robust, reproducible pre‐drill assessment of four drilling geohazards—normal, collapse, overpressure, and combined conditions—and to provide a ready benchmark for machine ...
Zhi Geng   +6 more
wiley   +1 more source

Rackla Pluton Geothermal Gradient: Implications for Mineral Exploration [PDF]

open access: yesGoldschmidt Abstracts, 2020
Michael Rego, Daniel D. Gregory
openaire   +1 more source

Aging of Tetrafluoroethylene Propylene (FEPM) Material in High‐Pressure HighTemperature Hydrogen Sulfide Downhole Environment: Theory, Modeling, Experiments, and Material Lifetime Prediction

open access: yesMacromolecular Theory and Simulations, Volume 35, Issue 1, January 2026.
A novel approach that integrates AI‐based methodology, laboratory experimentation, and field application experience to accurately predict the lifespan of elastomeric materials in harsh downhole environments. ABSTRACT This paper presents a physics‐driven neural network (PINN) model to capture the constitutive behavior, elongation at break (EAB), modulus,
Aref Ghaderi   +6 more
wiley   +1 more source

Impacts of the renewable energy transition on global plant diversity: A review

open access: yesPLANTS, PEOPLE, PLANET, Volume 8, Issue 1, Page 87-115, January 2026.
People and nature need a renewable energy transition to help address the growing, and catastrophic, effects of climate change. A sustainable energy transition involves rigorously examining the potential impacts on nature – including plant life – and creating pathways for impact mitigation that strike a clear balance between energy production and ...
Rachael V. Gallagher   +7 more
wiley   +1 more source

An Integrated Machine Learning Approach for Real‐Time Prediction, Diagnostics and Optimization of Uranium‐Leaching Groundwater System

open access: yesWater Resources Research, Volume 62, Issue 1, January 2026.
Abstract Reliable and efficient simulation and optimization (SO) approach are crucial for groundwater management. Traditionally, SO of groundwater system relies on process‐based numerical models, which often feature low computational efficiency, and unsatisfactory accuracy under limited amount of supportive data and time‐varying aquifer conditions ...
Zhenjiao Jiang   +5 more
wiley   +1 more source

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