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The authors describe a joint industry project focused on collaboration and knowledge-sharing to improve the competitiveness of Australia’s oil and gas industry by addressing critical challenges associated with subsea-equipment failure.

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The former North Platte discovery gets new owner, new name

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.

SPE Distinguished Member and a founder of the SPE’s first section in Moscow, died 13 March. He was 76.

As we continue to advance the capability in the laboratory environment to test downhole condition measurements experimentally, the tools we are using appear to be bridging the subsurface characterization with the production results. Continued focus on unconventionals is complemented with a renewed focus on conventional research as well.

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.