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This study aims to use machine-learning techniques to predict well logs by analyzing mud-log and logging-while-drilling data.

This paper describes a risk-based self-verification process conducted through a bespoke software application.

The upstream industry has viewed real-time completions as a long-term goal, but the technology is already in use.

This paper discusses and demonstrates the limitations of quantitative risk assessment (QRA) with respect to the usefulness of the concept in managing day-to-day and emerging risks as well as the effect of change.

The use of real-time wireless downhole pressure gauges proved a valuable alternative to workover operations in two onshore fields in Iraq.

This paper describes a tool that complements predictive analytics by evaluating top health, safety, and environment risks and recommends risk-management-based assurance intervention.

The deal marries Baker’s core competencies in rotating equipment, flow control and digital technology with Chart’s heat transfer, air- and gas- handling, and process technologies expertise.

Rystad Energy reports that developers are increasingly turning to floating LNG to reduce costs and accelerate project timelines in response to growing gas demand.

The first of four planned Phase 1 wells is flowing from the region’s second 20k-psi deepwater project.

Traditionally, the drilling industry has relied on high-fidelity thermal simulators to predict downhole temperature for different operational scenarios. Though accurate, these models are too slow for real-time applications. To overcome this limitation, a deep-learning solution is proposed that enables fast, accurate prediction of downhole temperatures under a wide ran…

The updates remove some requirements from two grant programs in an attempt to speed up the application process.

A new paper from researchers at Heriot-Watt University outlines key advances in chemistry that are driving the push in carbon capture technology.