Testing page for app

Machine learning has been shown to have a promising role in oil and gas explorations in recent years. Among the applications, determining a proper location for injection and production wells along with their optimal operating conditions is a complex problem.

The $1-billion carbon capture project in Texas is revived after a 3-year hiatus.

The partnership plans to develop an overlying software suite, Data Mesh, to consolidate data from various sources and increase data-access efficiency.

A recently signed contract lines the company up to provide autonomous ocean robots for inspection of the oil giant’s subsea field developments in the Gulf of Mexico.

The Oklahoma independent agreed to acquire the assets of three private companies in its quest to scale up in the Permian's Delaware Basin.

Consortiums led by ExxonMobil, TotalEnergies lead the charge into the blocks offered in the oft-delayed offshore parcel auction.

Suriname's wait to become a significant oil producer may be nearing an end as the French supermajor begins early development studies.

The discovery in the US Gulf of Mexico was tied back to the existing Shenzi tension-leg platform.

This article explains what deep learning is and how it works and presents an example use case from the energy industry.

Diamondback Energy has agreed to spin off its water operations. Now, who’s next?