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This paper explains how machine learning and physiology can be used to improve rig technical training by monitoring the operator’s stress, leading to targeted training to manage such situations better.

The paper provides insights on diffusion in organic matter to correct a primary source of underestimation of gas production in shale-gas models.

This paper presents a mathematical analysis of how incorrect estimates of initial reservoir pressure may affect rate-transient analysis in ultralow-permeability reservoirs.

The key element of hydraulic-fracture modeling is the prediction of the generated fracture geometries. Research conducted over the years has trickled down predictive software. Nevertheless, the ability to design optimal fracture treatments is hampered, as we cannot “see” the subsurface.

In this work, novel physics-based models and machine-learning models are presented and compared for estimating permanent-downhole-gauge measurements.

Drillers are working to find ways to break some bad data habits. Those problems can range from the use of multiple formulas to calculate mechanical specific energy to timekeeping systems where the clocks and the time records are often off.

The French producer has taken final investment decision on the deepwater Begonia field, plus natural gas and solar developments.

ADNOC Drilling and ADNOC Logistics & Services have won the newest round of contracts to develop the mega sour-gas project that will expand the UAE’s production of LNG.

ExxonMobil awarded the consortium the project management, engineering, and installation of the estimated 190-km pipeline.

Drillbotics announced the winners for the 2021–2022 competition. Students from the University of Stavanger (UiS) won the Group A competition and the Norwegian University of Science and Technology (NTNU) won the Group B competition.

The discoveries bring the total number of its finds offshore Guyana to more than 25.

ExxonMobil LNG Asia Pacific will purchase 1.0 mtpa from Rio Grande LNG plant over a 20-year period.