University of Texas

This article from the SPE Methane Technical Section features Arvind Ravikumar of the University of Texas at Austin and focuses on how the Energy Emissions Modeling and Data Lab is integrating satellite observations, facility-level measurements, operational data, and emissions inventories into more credible methane accounting for oil and gas systems.

The 2025 report confirms for the second year that the Appalachian Basin has the lowest methane intensity of any major oil and gas basin in the US.

This paper describes a study to design and implement an enhanced oil recovery project via huff ’n’ puff using Y-grade injectant.

This study compares water-based chemicals including surfactants, nanoparticles, and ketones that can be used for enhancing the oil recovery of shale-oil reservoirs.

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 study integrates physics-based constraints into machine-learning models, thereby improving their predictive accuracy and robustness.

This paper introduces new methods to perform reliable permeability and saturation-dependent relative permeability measurements in organic-rich mudrock core samples using a pressure-decay setup.

This paper extends an integrated two-scale continuum model that contemplates mass, momentum, and energy changes to study the acid-stimulation process in complex carbonate acid-stimulation systems with the development of fracture and vug networks.

The authors of this paper describe reservoir-fluid-geodynamics processes that explain the reasons behind varying oil compositions and properties within and across different reservoir compartments.

The paper describes a parameter inversion of reservoirs based on featured points, using a semi-iterative well-test-curve-matching approach that addresses problems of imbalanced inversion accuracy and efficiency.