SLB

This paper introduces an agentic artificial-intelligence framework designed for offshore production surveillance and intervention.

The authors describe the effectiveness of an electromagnetic look-ahead service while drilling in terms of providing accurate formation profiles ahead of the bit to optimize geostopping efficiency.

This work demonstrates that a carefully engineered wireline perforation strategy can address the challenges of long-interval high-pressure/high-temperature completions with large intrareservoir-pressure differentials safely and effectively.

The country’s state oil company has signed agreements with SLB and TotalEnergies to work on production.

This paper compares deep transient testing with drillstem testing in a high- and low-permeability gas reservoir, including test-selection implications and best practices.

This paper presents a self-supervised approach for training a seismic foundation model and demonstrates scenarios in which it is used for seismic data conditioning, interpretation, and inversion through six real-use cases.

The two companies say they plan to work together to use agentic AI to increase the capabilities of technical experts.

This paper presents a study of trapped-torque incidents during drillpipe connection, highlighting contributing factors and root causes and proposing prevention and mitigation measures for these transient events.

In this study, a method was developed to analyze the effects of drilling through transitions on bit-cutting structures and construct an ideal drilling strategy using a detailed drilling model.

Updates about global exploration and production activities and developments.