Data & Analytics

This paper describes the suite of cloud-based digital twin tools that the operator has developed and is integrating into its operations, providing online, real-time calculation of scale risk and deployed barrier health to manage risk on a well-by-well basis.

This paper highlights a new online system for monitoring drilling fluids, enabling intelligent control of drilling-fluid performance.

This paper investigates the use of machine-learning techniques to forecast drilling-fluid gel strength.

The companies have finished a seismic survey of an underexplored area of the Bonaparte Basin offshore northwest Australia.

Kongsberg Digital and other industry leaders see the arrival of artificial intelligence (AI) as a catalyst for major change in the office and in the field.

Analytics company GlobalData has released a report, “Robotics in Oil and Gas,” that aims to provide an overview of robotics technology and its applications in the oil and gas industry, highlighting the role of major oil and gas companies in the development and adoption of robotics to enhance safety and productivity.

Machine learning and a decade of gas composition records helped the operator identify wells that were most likely to produce paraffins.

The companies plan to develop new artificial-intelligence-powered processes and workflows to optimize oil and gas production.

Routine status reporting often presents a challenge because of its intimidating and time-consuming nature for both employees and supervisors. With large language models, a system was developed to generate coherent artificial-intelligence-driven reports. The goal is to enhance the understanding of overall insights and reduce the time required for individual report read…

We’re thrilled to announce the launch of the 2025 SPE/JPT Drilling and Hydraulic Fracturing Technology Review. This exclusive, official publication will be distributed at three major SPE industry events.