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SPE technical papers synopsized in each monthly issue of JPT are available for download for SPE members for 2 months. These January and February papers are available now.

The authors make the case that data science captures value in well construction when data-analysis methods, such as machine learning, are underpinned by first principles derived from physics and engineering and supported by deep domain expertise.

Everywhere you look these days, there is talk of how advances in big data, artificial intelligence, and machine learning will revolutionize virtually every aspect of our lives. This month, we will look at how researchers in the drilling domain are using this potential to improve well construction.

Updates about global exploration and production activities and developments.

In this paper, the authors propose a regression machine-learning model to predict stick/slip severity index using sequences of surface measurements.

A Shell partnership with YPF marks a significant milestone for the Argentina LNG export facility, raising new questions about the nation’s potential to unlock the economic power of its vast shale reserves.

Greenhouse gases are woven into every stage of a well’s life, which presents challenges that demand creative solutions that do not require too much capital.

This section lists with regret SPE members who recently passed away.

Member access to pdf, digital edition, and technical papers.

Global offshore decommissioning projects hear the starting gun in Australia and the North Sea, but will the race be a marathon or a sprint?