Testing page for app

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

Updates about global exploration and production activities and developments.

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

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

A compelling triptych of recent research showcases the burgeoning capacity of machine learning to unlock substantial efficiencies and enhance decision-making across the exploration and production lifecycle.

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.

The visit included hosting an inaugural Energy4me session, joining ANP’s 17th anniversary party, and visiting the historic village of Balibo on the Indonesian border with SPE’s Timor-Leste student chapter officers.

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…