Technical Topics

This article gives a succinct overview of artificial intelligence, its emerging opportunities, prospects, and challenges, and concludes with recommendations to accelerate the admission of AI into workflows.

The term digital oil field has become a buzzword in the oil and gas industry these days, with the mention of it bringing up pictures of computers, flashy screens, and programming to mind. In reality, the concept goes beyond these.

Mitigation of stress shadowing could significantly enhance the impact of hydraulic fracturing treatments, increasing stimulated reservoir volume and leading to higher production of hydrocarbons.

Unconventional oil and gas have come to dominate the exploration and development scene in Western Canada since 2005, much as they have in the US. As usually happens with new play ideas and trends, appraisal and development have generated a broad spectrum of results in Canadian Unconventional plays.

Data story consumers are focused on summarized results and highlights instead of details of the analysis. It’s a data scientist’s responsibility to identify the significance of the data and to present it in a simple but scientific manner.

There is a big prize to be claimed in enhanced shale and tight oil recovery.

The data science, machine learning, and artificial intelligence fields do have a great deal of overlap, but they are not interchangeable.

As a compact source of energy which is widely distributed, natural gas hydrates can play a big role in meeting future energy demands. But producing them is not such an easy task.

The author shares the story of how when he wanted a quick, handy tool to have in his pocket to QC the reservoir engineering numbers, he ended up creating an app that others could use too.

Texas A&M University wins this year's Drillbotics contest.