University of Texas

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.

The authors of this paper describe a study in which performance optimization was demonstrated in thermoplastic sealing systems for oil and gas equipment using 3D printing to manufacture multicomponent composite structures.

Regional pore-pressure variations in the Leonardian- and Wolfcampian-age producing strata in the Midland and Delaware basins are studied using a variety of subsurface data.

From optimizing drilling performance to enhancing worker safety, computer vision can change how the industry works.

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

A study out of the University of Texas at Austin highlights the importance of realistic market thresholds, targeted activism, and the potential for certified markets to drive significant environmental improvements in the industry.

This work provides a new modeling tool, validated against a static-wellbore solver and field data, to estimate and manage downhole temperature in higher-temperature oil, gas, and geothermal wells.

The authors of this paper discuss deep closed-loop geothermal systems as an alternative to traditional enhanced geothermal systems for green energy production that is globally scalable and dispatchable.