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The authors describe a drilling-systems automation roadmap for a transition from humans to automation in the general drilling space.

The authors describe an integrated multiscale data methodology involving machine-leaning tools applied to the Late Jurassic Upper Jubaila formation outcrop data.

The authors describe a logging-while-drilling nuclear-magnetic-resonance method applied in Bohai Bay, China, as an alternative to radioactive source-porosity measurements.

The authors develop a collocated finite-volume method to study induced seismicity as a result of pore-pressure fluctuations.

Regarding the long-term risks to our industry and a decreasing role of oil and gas in the energy transition in the future, I see an opportunity for companies to expand into new business segments and our members into new career opportunities.

The Gulf of Mexico explorer is building off its offshore learnings to scoop up early carbon capture and sequestrations projects on the US Gulf Coast.

When water and metal meet, you get corrosion. You also get a good dose of creative engineering and innovation.

This paper describes the application of a synthetic seismic-catalog-generation method followed by application of a neural network on a seismic data set for an oil-producing field in the North Sea.

In this work, a methodology to detect interference from long-term pressure and flow-rate data is developed using multiresolution analysis in combination with machine-learning algorithms.

This paper describes an integrated work flow developed for 3D seismic reservoir characterization of deep and thin layers without sufficient well data in a South China Sea formation.

The author writes that careful calibration of a common, simple rock physics model can provide valuable insights into reservoir and seal elastic properties.

Two well-test logging operations have been carried out for the first time in a conventional carbonate reservoir in safe operating conditions and with repeatable results.