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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.

The world’s reliable engine of crude demand growth is stalling out, and its impact on the upstream market is already being felt.

The authors of this paper propose hybrid models, combining machine learning and a physics-based approach, for rapid production forecasting and reservoir-connectivity characterization using routine injection or production and pressure data.

Train 1 of the Corpus Christi LNG Stage 3 project is expected to reach substantial completion during the first quarter of 2025.

The Scarborough Energy Project is on track to start delivering liquefied natural gas in 2026.

Australia’s Ichthys LNG facility will provide feedstock, along with production from legacy Japanese gas fields that will also serve as repositories for CO2 storage.

The formal design and construction contract award comes after an LOI for the work was signed this past summer.