Testing page for app

The authors of this paper discuss a global rate-of-penetration machine-learning model with the potential to eliminate learning curves and reduce time and costs associated with developing a new model for every field.

New well near Speyer, Germany adds 1,800 B/D of new production

Both finds will be tied back to the nearby Ram-Powell TLP.

Spending plans announced by oil and gas companies indicate that about 80% of their budgets are directed toward traditional E&P, efforts to reduce emissions and carbon footprints, and sustainable investment in new energy. It is reasonable to expect that with these budget increases, there will be an uptick in the employment of petroleum professionals.

When it comes to workers’ salaries in oil and gas vs. clean energy, how does their compensation compare? The answer depends on the roles of workers and their locations, qualifications, experience, training—and personal decisions.

The goal of this paper is to improve the understanding of uncertainties affecting well performance and reservoir connectivity in an offshore Malaysian field.

At the center of a rush to build carbon storage is the state of Louisiana, where the number of applications to build long-term storage is equal to half the sites operating globally.

The recent Permian Basin earthquakes in Texas are keeping producers, regulators, and service providers busy in their quest to reduce the intensity and frequency of the induced seismic events.

The authors of this paper describe a project that demonstrated the feasibility of using deep-learning and machine-learning approaches to introduce camera-based solids monitoring to the drilling industry.

This month’s papers highlight ongoing developments within the well testing discipline and important reminders about how to properly use dynamic data. The application of these well testing fundamentals to a nascent carbon storage market is still evolving.