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The room for error and cost overruns just got a lot smaller with the escalating need to make operations more efficient and leaner with fewer resources and investors continuing to prioritize ESG alongside profitability.

Increasing accuracy in models is often obtained through the first steps of data transformations. This guide explains the difference between the key feature-scaling methods of standardization and normalization and demonstrates when and how to apply each approach.

Rapid development of more-accurate simulator engines has given researchers the opportunity to generate sufficient data to train robotic policies for real-world deployment. However, moving from simulation to reality remains one of the greatest challenges of modern robotics.

Researchers have created software that borrows concepts from Darwinian evolution, including “survival of the fittest,” to build AI programs that improve generation after generation without human input.

The US crude inventory grew by 74 million bbl since 13 March when the US declared a national emergency in response to COVID-19.

Gecko Robotics is providing the energy industry with artificial-intelligence-enabled robots to inspect infrastructure and supply massive amounts of data to help predict failures before they occur.

The move to combine forces comes amid the fastest contraction in drilling activity the US shale sector has ever seen while Gyrodata will retain its international business.

The words "disruption" and "change" are becoming more and more common in many industries, including offshore oil and gas.

A technical synopsis of major considerations for unconventional wells facing prolonged shut-ins. The review includes deciding factors for kill fluid selection and risks of incompatible fluid mixing.

There is often an assumption that big data, together with machine learning, will solve whatever problems asset-heavy industries such as oil and gas face. This is not the case; big data alone isn’t enough. We need something else to solve these problems, and the answer lies in the world of physics.

As tight-oil producers move to curtail production, hard-to-answer questions are being raised about how shuttered wells will come back. The issue reveals key uncertainties about the delicate flow paths that define unconventional reservoirs.

The AI journey starts with a single step, but too many companies take the wrong first step.