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This study aims to systematically assess casing integrity and corrosion risks associated with CO2 injection in oil-recovery operations.

This paper explores the development of direct-lithium-extraction technologies designed to recover lithium from unconventional feedstocks.

This paper presents findings reinforcing the argument that acid fracturing is a strong alternative stimulation method to improve productivity in the Austin Chalk formation.

The current challenge in reservoir simulation extends beyond developing better models; it entails creating solutions that are faster, more responsive, and genuinely instrumental in guiding decision-making. The papers selected this year clearly represent this evolution.

This paper aims to assess the effectiveness of using advanced integrated production-data-analysis techniques for condensate-rich tight gas fields.

This study applies Monte Carlo simulation and an XGBoost regression model to assess the influence of various formations, geologic provinces, tectonic-plate types, and boundary conditions on hydrogen concentrations.

This paper presents a novel reservoir engineering/reservoir simulation approach—a data-driven interwell-connectivity model augmented as a digital twin—to predict reservoir dynamics and optimize operations in the Changqing oil field of China.

This work uses a novel pseudosteady-state-based simulation to reduce training-data-generation cost while maintaining high-performance predictions of data-driven proxy models for carbon-sequestration projects.

This case study describes how edge computing and industrial internet of things platforms were deployed to automate and optimize production operations across four distinct basins.

Output is rising fast in the South American shale play and putting Argentina on a course to soon reach 1 million B/D.