CO2 EOR

Even as output hits record highs, a growing recognition of the Permian’s maturity is opening the door for new technologies to improve performance.

This paper addresses the difficulty in adjusting late-stage production in waterflooded reservoirs and proposes an integrated well-network-design mode for CO₂ enhanced oil recovery and storage.

This work presents the development of fast predictive models and optimization methodologies to evaluate the potential of CO₂ EOR and storage operations quickly in mature oil fields.

Optimization of water-alternating-gas (WAG) processes is critical for maximizing both oil recovery and carbon-sequestration efficiency in CO2 enhanced oil recovery (EOR) projects. Conventional optimization using simulation models can be cumbersome because of the vast design space and high uncertainty. In this study, a deep-learning model, the temporal fusion transform…

The transaction supports Occidental Petroleum's operations in the Permian Basin and its enhanced oil recovery program.

In a study that applied alternative carbon carrier technology to enhanced oil recovery (EOR) scenarios, researchers at The University of Texas at Austin found that the new method recovered up to 19.5% more oil and stored up to 17.5% more carbon than conventional EOR methods.

This paper presents a comprehensive model of geothermal exploitation for depleted deep heavy oil reservoirs through supercritical CO₂ injection.

Investigation into the parameters affecting the displacement efficiency of CO2 injection under miscible and near-miscible conditions in the presence and absence of mobile water saturation using carbon dioxide core injection experiments.

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.

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.