artificial intelligence

The software that the duo is working on aims to optimize and automate the moving of drilling rigs.

Machine learning has been shown to have a promising role in oil and gas explorations in recent years. Among the applications, determining a proper location for injection and production wells along with their optimal operating conditions is a complex problem.

This article explains what deep learning is and how it works and presents an example use case from the energy industry.

The agreement will put SLB’s Delfi software to work in Ineos’ oil and gas operations.

The authors of this paper describe a technology built on a causation-based artificial intelligence framework designed to forewarn complex, hard-to-detect state changes in chemical, biological, and geological systems.

Health, safety, and environment operations can be greatly enhanced by using artificial intelligence (AI) techniques on HSE data. One important aspect inherent in this process is the need to establish trust in the AI system among the users.

Registration is open for the SPE Europe Energy GeoHackathon, which will be held in October and November. It will be preceded by 4-week online bootcamp sessions on data science and geothermal energy, which will begin on 2 October.

This article presents the application of a reinforcement learning control framework based on the Deep Deterministic Policy Gradient. The crack propagation process is simulated in Abaqus, which is integrated with a reinforcement learning environment to control crack propagation in brittle material. The real-world deployment of the proposed control framework is also dis…

With AI rapidly becoming a buzzword across industries, oil and gas companies are exploring ways to use this technology to fuel innovation in the energy sector.

The startup known for helping introduce Bitcoin mining to the upstream industry is now also offering cloud computing using associated gas.