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CO₂ enhanced oil recovery (EOR) provides an attractive and commercially established technique to store CO₂ underground. EOR modeling is crucial because complex simulation is required to predict the behavior of CO₂ and its interaction with the oil and reservoir rock.

Geothermal energy in the US has historically been concentrated in the West due to favorable geology, but emerging technologies have expanded the possibilities.

Virtual reality and related visualization technologies are helping reshape how the industry views 3D data, makes decisions, and trains personnel.

This month’s column offers a review of the perceived quality of SPE's publications and how this perceived quality could affect the value and impact of SPE's generative AI deliverables. Quality can be subjective, so this column focuses on key publication indicators before assessing remedial options in a future column.

Richard (Dick) Nelson, SPE, passed away 12 September 2024 in Ketchum, Idaho, at the age of 95. After receiving a PhD in chemistry from the University of Washington in 1954, he moved to California and started at Shell’s Martinez refinery. He also worked at Shell Development Company’s Emeryville Central Research Laboratory before moving to the company’s head office in M…

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

The objective of this study is to develop an explainable data-driven method using five different methods to create a model using a multidimensional data set with more than 700 rows of data for predicting minimum miscibility pressure.

Updates about global exploration and production activities and developments.

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

The authors present an open-source framework for the development and evaluation of machine-learning-assisted data-driven models of CO₂ enhanced oil recovery processes to predict oil production and CO₂ retention.