Dec 6, 2021
This Case Study describes an approach to combining physical principles with Machine Learning (ML) for modeling and control of complex systems. Our approach was developed as part of a DARPA-funded research project. It was applied to oil reservoir management. While this...
Aug 24, 2020
Abstract We present a robust control system and methodology for physics-informed artificial intelligence (PAI) used to optimize and improve oil recovery, demonstrated in the Yates Field operated by the Kinder Morgan CO2 company. The system consists of a robust control...
Aug 8, 2019
Inclusion of incoherency effects in soil-structure interaction (SSI) analysis provides a more realistic determination of earthquake induced building structural responses than those obtained considering coherent ground motion. Separately, industry demand for...
Oct 23, 2018
This presentation summarizes the methodology and results from a recent seismic evaluation of a safety-class fire water storage tank. Tanks such as this are common at both DOE and NRC regulated nuclear facilities and their safety function following earthquake is relied...
Sep 20, 2018
Motivation The last 3 years have seen an increased demand for analog, MEMS and RF chips, which has led to a shortage in both 200mm fab capacity as well as equipment. This has sparked a new interest among equipment makers to refurbish used 200mm tools, develop entirely...
