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To keep pace with the digital age, the critical infrastructure and automation industries are looking beyond today’s control systems for new, common technologies to help balance requirements for uptime with digital technologies. Open standards can help.

Four recent deepwater offshore discoveries show exploration is not dead, it is just concentrated offshore.

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 complete paper presents a discussion of the use of intelligent well completion in Santos Basin Presalt Cluster wells.

This paper presents a fatigue-prediction methodology designed to extend the life of unbonded flexible risers and improve the accuracy of floating production, storage, and offloading vessel response analysis.

A real-time deep-learning model is proposed to classify the volume of cuttings from a shale shaker on an offshore drilling rig by analyzing the real-time monitoring video stream.

While sustainability is approached through various means within the industry, at its core is the welfare of human beings. Recent SPE papers demonstrate the importance of human rights in the industry’s drive toward sustainability.

There are numerous views of what the future energy landscape will look like in the next decade and beyond. When thinking about sources of primary energy, it is not a question of either/or, it is a question of what can reach scale fast enough to meet continued demand growth.

Drilling still depends on human judgment to solve many problems. Some of the problems are big, and others are related to niggling details. This article discusses three innovations aimed at improving the data flows.

Putting together the billions of dollars needed to develop deepwater finds has become tougher, but when the discoveries are huge, companies will make every effort to find a way to tap what may be a cheap source of oil.