Energy Transition: Data Science and Engineering Analytics in CCUS, Renewable Geothermal and LNG Applications
Tuesday, 21 October
Room 332AD
Technical Session
This technical session highlights several energy transition explorations with data science and engineering analytics. The coverage of the topics includes: 1) carbon storage and utilization for screening, pressure, and plume tracking, EOR, and uncertainty analysis with advanced machine learnings. 2) renewable energy of geothermal studies for fracture network quantification and thermal/heat behaviors in use cases with various of the machine learning techniques. 3) Oil & LNG markets studies with machine learning for trading dynamics. Encourage you join the session to catch up such innovative data science and engineering analytics applications, energy transition trends, and use cases.
Session Chairpersons
-
0830-0855 228266Quantifying The Uncertainty Of The 3d Evolution Of Co2 Mass And Pressure Plumes For Site Screening Applications With Fourier Neural Operators
-
0855-0920 227900Co2-brine Gravity-driven Displacement Estimation Using Traditional Numerical Methods And Deep Learning
-
0920-0945 228196Proxy Model Optimization For Brine Production In Carbon Capture And Storage Operations
-
1015-1040 227866Near-Real Time CO2 Plume Monitoring And Visualization Considering Geologic Uncertainty At The Illinois Basin-Decatur Carbon Sequestration Project
-
1040-1105 227935Deep Learning Driven Reservoir Simulation For Mapping Performance Of Co2-eor And Storage In Tight Oil Reservoir
-
1105-1130 227883Knowledge-based Machine Learning For Optimized Cement Design In Co₂ Storage And Geothermal Wells
-
Alternate 228102Do We Really Need Hundreds Of Machine Learning Models In Petroleum Industry?
-
Alternate 228167Leveraging Artificial Intelligence To Predict Thermal Conductivity And Heat Extraction From Utah Forge Geothermal System
-
Alternate 228121Virtual Barrels And Real Markets: Bridging Physical Trading And Financial Speculation In Oil And LNG Markets Through System Dynamics And Machine Learning
