University of Southern California

This paper discusses housing pulverized blades mixed with Portland cement in wells considered for plugging and abandonment.

This paper presents a physics-assisted deep-learning model to facilitate transfer learning in unconventional reservoirs by integrating the complementary strengths of physics-based and data-driven predictive models.

This paper describes the analysis of actual performance data for acid fracturing in a tight carbonate formation to investigate the ineffectiveness of the process.

The center will develop innovations for renewable-energy technology and the low-carbon future and will bring together and support research of faculty in the energy, materials science, data science, and artificial-intelligence fields.

The industry is becoming increasingly complex, leading to changes in how universities approach education for undergraduate study.