Latest News

As deep learning matures and moves from the hype peak to its trough of disillusionment, it is becoming clear that it is missing some fundamental components.

Organizations interested in realizing the benefits of having data at the center of their firm will need to define numerous specific work scopes for the conversion of unstructured to structured data.

UK North Sea oil and gas production is set to be maintained at normal levels despite the industry moving to "minimal manning" of offshore facilities in the face of the COVID-19 pandemic, trade body Oil and Gas UK's health and safety director, Trevor Stapleton, said.

Methane, a powerful greenhouse gas, is leaking from industry sites at rates equivalent to the annual carbon emissions of France and Germany combined, a new analysis using satellite data shows.

The $8-billion pipeline project has been held up for years, but amid a historic price crash, the Canadian government is stepping in with funding to support exports.

The drop in gas prices, although greater than forecast, will not be to the same extent as oil prices.

Networking is core to SPE activities, whether through an event, a local section meeting, service on a committee, or other activity. The rapid spread of the COVID-19 virus globally is having far-reaching effects across SPE activities.

For the upstream industry, where improvement in efficiency or production can drive significant financial results, there is no question that the size of the digital prize is huge. So are the challenges.

When engineers went searching for clues on how fractures move beneath the surface, they expected to uncover important learnings. They did not know they were on the path to a new invention.

Proper lateral and vertical well spacing is critical for efficient development of unconventional reservoirs. Much research has focused on lateral well spacing but little on vertical spacing, which is challenging for stacked-bench plays such as the Permian Basin.

The industry increasingly relies on forecasts from reservoir models for reservoir management and decision making. However, because forecasts from reservoir models carry large uncertainties, calibrating them as soon as data come in is crucial.

The results of the authors’ research showed promising benefits from the use of a systematic procedure of model diagnostics, model improvement, and model-error quantification during data assimilations.