A5073194875- Water-Energy-Food Nexus Studies
- Reservoir Engineering and Simulation Methods
- High Temperature Alloys and Creep
- Marine and Offshore Engineering Studies
- Hydrogen embrittlement and corrosion behaviors in metals
- Metallurgy and Material Forming
- Machine Learning in Materials Science
- Structural Integrity and Reliability Analysis
- Offshore Engineering and Technologies
- Water Quality and Resources Studies
- Hydrocarbon exploration and reservoir analysis
- Microstructure and Mechanical Properties of Steels
- Drilling and Well Engineering
- Nuclear Materials and Properties
- Hydraulic Fracturing and Reservoir Analysis
- Coal and Its By-products
- Oil and Gas Production Techniques
- Urban Stormwater Management Solutions
- Coal Properties and Utilization
- Corrosion Behavior and Inhibition
- Material Properties and Failure Mechanisms
- Fault Detection and Control Systems
- Geophysical Methods and Applications
- Atmospheric and Environmental Gas Dynamics
- Nuclear Engineering Thermal-Hydraulics
National Energy Technology Laboratory
2018-2024
Leidos (United States)
2021
Oak Ridge Institute for Science and Education
2020
Oak Ridge Associated Universities
2020
Offshore oil and gas platforms operating past their design life can pose significant risk to operators the surrounding environment, as integrity of these structures decreases over time due a variety stressors. This has important implications for industry government, which are seeking safely extend continued use or reuse alternative offshore energy applications. As result, there is need quantify remaining useful (RUL) by analyzing effects that stressors may have on structural integrity. study...
Abstract The Larson–Miller parameter (LMP) offers an efficient and fast scheme to estimate the creep rupture life of alloy materials for high-temperature applications; however, poor generalizability dependence on constant C often result in sub-optimal performance. In this work, we show that direct parameterization without intermediate LMP parameterization, using a gradient boosting algorithm, can be used train ML models very accurate prediction variety alloys (Pearson correlation coefficient...
Abstract The class of 9–12% Cr ferritic-martensitic alloys (FMA) and austenitic stainless steels have received considerable attention due to their numerous applications in high temperature power generation industries. To design strength with prolonged service life requires a thorough understanding the long-term properties, e.g., creep rupture strength, life, etc., as function chemical composition processing parameters that govern microstructural characteristics. In this article, both FMA...
Three probabilistic methodologies are developed for predicting the long-term creep rupture life of 9-12 wt%Cr ferritic-martensitic steels using their chemical and processing parameters. The framework in this research strives to simultaneously make efficient inference along with associated risk, i.e., uncertainty estimation. study highlights limitations applying machine learning model provides suggestions as how might be alleviated an accurate evaluation epistemic each prediction. Based on...
The U.S. Gulf of Mexico contains a complex network existing, decommissioned, and abandoned oil gas pipelines, which are susceptible to number stressors in the natural-engineered offshore system including corrosion, environmental hazards, human error. age these structures, coupled with extreme weather events increasing intensity occurrence from climate change, have resulted detrimental operational impacts such as hydrocarbon release pipeline damage. To support evaluation infrastructure...
The U.S. Gulf of Mexico contains a complex network existing, decommissioned, and abandoned oil gas pipelines, which are susceptible to number stressors in the natural-engineered offshore system including corrosion, environmental hazards, human error. age these structures, coupled with extreme weather events increasing intensity occurrence from climate change, have resulted detrimental operational impacts such as hydrocarbon release pipeline damage. To support evaluation infrastructure...
This project seeks to build an open-source wellbore material data repository with adequate performance and contextual support Geological Carbon Storage (GCS). By appropriately evaluating the types as mentioned earlier made available by WELLBASE tool, stakeholders can make more informed decisions regarding well selections, risk assessment, economic analysis for geologic carbon storage projects. Advanced Natural Language Processing models other custom python scripts will be deployed in...