Reservoir Simulation for Energy Transition Application Using Open-Source DARTS Framework
In this course, participants will learn how to perform a reservoir simulation of various Energy Transition applications using the opensource Delft Advanced Research Terra Simulator (DARTS). The primary focus and developed capabilities of DARTS include a multicomponent multiphase flow of mass and heat with chemical interactions. Advanced multiscale nonlinear formulation and adjoint capabilities improve the run-time performance which makes DARTS a perfect choice for inverse modeling.
This workshop will start with a simple 1D homogeneous geothermal model and describe the basic capabilities of the DARTS simulation engine. Next, we will present a realistic heterogeneous model for CCS application with advanced modeling and post-processing capabilities. Next, we extend the physics using the chemical formulation with kinetic reactions. Finally, participants will learn how to model complex 3D heterogeneous models in DARTS.
Intermediate to Advanced
Learn details about advanced reservoir simulation and how it can be applied for energy transition industrial applications.
Researchers at universities, governmental or semi-public research institutions, regulators, industry professionals including operators and service providers.
The course attendees should bring a laptop with installed Python version 3.6+. Basic knowledge of Python is required for the successful completion of the course.
.08 CEUs are awarded for this 1-day course.
All cancellations must be received no later than 14 days prior to the course start date. Cancellations made after the 14-day window will not be refunded. Refunds will not be given due to no show situations.
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SPE reserves the right to cancel or re-schedule courses at will. Notification of changes will be made as quickly as possible; please keep this in mind when arranging travel, as SPE is not responsible for any fees charged for cancelling or changing travel arrangements.
We reserve the right to substitute course instructors as necessary.
Dr. Denis Voskov is an Associate Professor at TU Delft. He has 20 years of experience in the field of reservoir modeling and published more than 50 peer-reviewed journal papers related to this topic. His research interests include reactive flow and transport in altering porous media, scale translation for complex physical processes, high-performance computing for forward and inverse problems, simulation of advanced thermal and geothermal processes, modeling of CO2 sequestration, analysis and improvement of nonlinear solutions, coupled geomechanics and utilization of Machine Learning in simulation (see https://darts.citg.tudelft.nl/ for more details). Before joining TU Delft, Dr. Voskov spent ten years as a senior researcher at Stanford University. His other former positions include founder and chief technology officer of Rock Flow Dynamics company (developer of t.Navigator), chief engineer at YUKOS EP company, and leading engineer-mathematician at the Institute for Problems in Mechanics, the Russian Academy of Sciences.