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The authors of this paper describe a project that demonstrated the feasibility of using deep-learning and machine-learning approaches to introduce camera-based solids monitoring to the drilling industry.

With growing trade of liquefied natural gas (LNG), an increased diversification of LNG supply sources may occur in the LNG tanks as different compositions of LNG are stored in the tanks. It is the primary concern in terms of assuring stability and safety in LNG storage.

The authors of this paper present an autonomous directional-drilling framework built on intelligent planning and execution capabilities and supported by surface and downhole automation technologies.

This paper introduces a measurement system that is agile for transport and can be installed anywhere with a small footprint while delivering reasonably accurate results.

The emergence of reliable, affordable, and accessible uncrewed systems reveals their potential to play a valuable role in the energy transition.

This month’s papers highlight ongoing developments within the well testing discipline and important reminders about how to properly use dynamic data. The application of these well testing fundamentals to a nascent carbon storage market is still evolving.

This device lets workers in noisy and windy environments hear through their bones without removing ear protection.

Webinar will examine how human factors can help with implementing automation in the oil and gas industry.

A breakthrough fusion demonstration at Lawrence Livermore National Laboratory produced more energy than it used—a historic first.

Two unconventional gas reservoirs were found underlying existing producing fields.