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Mixing dry polymer powder and water to make friction reducer as needed during fracturing can cut the cost of the additive and the testing of whether a drastically simplified recipe performs as well as more-complex mixes.

This paper analyzes several configurations of convolutional neural networks suited for predicting upscaled fracture permeabilities and shape factors required to close a dual porosity/dual permeability model.

The Great Crew Change is all but over, Gen Xers are now managing Baby Boomers, and the oil and gas industry is morphing into the energy industry. Is this the end of an era or a new start for petroleum engineering education?

This paper describes a novel control scheme developed and tested on simulation for both hydrodynamic slugging and severe riser-induced slugging for a new facility in Angola.

The authors write that simple and straightforward observations on outcrops can be used to build 3D models that mimic geological relationships accurately.

This paper presents an integrated work flow to model mechanical properties at sufficiently high resolution to honor accurately rock fabric and its effects on height and complexity and, thus, production.

Insights from an ongoing industry study on North American shale wells help explain what frac hits, or fracture-driven interactions, are doing between offset wells, and why.

In this paper, alternative approaches to solids characterization are presented that lend themselves better to automation and real-time monitoring than API retort measurement.

In the authors’ study, a machine-learning predictive model—boosted decision tree regression—is trained, tested, and evaluated in predicting liquid holdup in multiphase flows in oil and gas wells.

Viktória Márton, vice president for sustainable development and health, safety, and environment at MOL Group, an international oil, gas, petrochemicals, and retail company, talks about experiences and thoughts for the future in the wake of the COVID-19 pandemic.

The utility of mud gas data so far has been limited to fluid typing, formation evaluation, and interwell geological and petrophysical correlation. The ongoing digital transformation has presented the opportunity to increase the utility of, and get more value from, the abundant and rich mud gas data. This article raises the question of whether getting more from mud gas…

Inspection and certification services provider will continue select asset work for Ithaca Energy through January 2025.