data analytics

Understanding the subsurface is crucial to the success of carbon capture and storage, and digital solutions are essential for an accurate analysis of the subsurface being considered.

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.

Decades of experience injecting fluids into the ground has revealed a fundamental truth: No two injection sites are the same. A thorough understanding of site-specific conditions is essential to ensure safe and secure long-term subsurface disposal of carbon dioxide.

The company said its expanded XIO series of remote controllers provides real-time monitoring and control, improved data accessibility, and enhanced data integrity.

The Angolan oil and gas producer will use the Palantir Foundry software suite across its operations.

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…

While master data management is crucial for maintaining data integrity and supporting business processes, it often goes ignored in mid- to large-size oil and gas companies. Most think that implementing robust enterprise resource planning will solve all master data problems. They find they are sorely mistaken when, after investing millions of dollars in a new accountin…

Diagnostics firm TGT launched its newest acoustic platform that it says broadens flow analysis by adding radial distance to the data collected.

The seismic and well data investigation tool integrates work flows to provide a consistent analysis of reservoirs.