DSDE: Features

Oil and gas companies are betting on the use of drones and robots for leak detection and methane emissions reduction.

SPE Data Science and Engineering Analytics Technical Director Silviu Livescu and SPE Reservoir Technical Director Rodolfo Camacho address some of the challenges in the application of data analytics, artificial intelligence, and machine learning to several reservoir engineering problems.

The use of artificial intelligence in the clean energy sector increases the availability and accessibility of clean energy, making it a more viable and cost-effective alternative to traditional energy sources.

Rate transient analysis has been challenged in every sense of the word when it comes to tight reservoirs. An ongoing joint industry project aims to turn that around.

A joint webinar conducted by the Human Factors and Ergonomics Society and the Society of Petroleum Engineers addressed the role of human factors in automation in the oil and gas industry.

The opening ceremony highlighted maximizing production sustainably to meet global demand, integration of simulation and optimization in a single platform with automation, and energy security.

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

One of the problems with geothermal is that the rock that is hot enough to create the steam needed to run a power plant is also capable of destroying drilling hardware.

Satellite imaging of methane emissions offers the fossil fuel industry the empirical data it needs to fix problems that companies might not even know they have before the EPA starts to levy fines in 2024.

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