School of Mechanical Engineering Denis Voskov

31 בדצמבר 2018, 15:00 
בניין וולפסון חדר 206 
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School of Mechanical Engineering Denis Voskov

 

 

 

 

School of Mechanical Engineering Seminar
Monday, December 31, 2018 at 14:00
Wolfson Building of Mechanical Engineering, Room 206

 

Efficient and robust forward simulation of complex geothermal processes

 

Denis Voskov

Department of Geoscience and Engineering, TU Delft

Department of Energy Resources Engineering, Stanford University

 

In the recent years, geothermal technology has received substantial attention as an alternative source of energy. However, the lack of detailed information about subsurface formations of interest often introduces significant uncertainties to the technological and economic planning of geothermal projects. That makes the robustness and efficiency of forward simulation extremely important. Geothermal modeling implies the solution of governing laws describing mass and energy transfer in the subsurface, which in turn requires the linearization of strongly nonlinear systems of equations. In my talk, I will describe a novel linearization strategy – Operator-Based Linearization (OBL) - capable to deal with complex nonlinear problems. The key idea of the approach is a transformation of discretised mass- and energy-conservation equations to an operator form with separate space-dependent and state-dependent operators. This transformation provides an opportunity for an approximate representation of the exact physics which is conceptually similar to an approximate representation of space and time discretization performed in conventional simulation. The current version of our simulation framework for geothermal applications includes OBL approximation for thermal-compositional physics of convection, conduction and buoyancy forces with multi-segmented wells and advanced nonlinear solvers.

The OBL approach enhances the computational performance of simulation and provides an opportunity for a simplified porting of simulation engine to heterogeneous computing architectures (such as GPU) which improves the performance even farther. I will show a few examples when the OBL framework is complemented with unique advanced simulation technologies such as compositional multiscale transport or species-based formulation for reactive transport. The advanced nonlinear solvers in OBL formulation is implemented based on the direct analysis of conventional operators in parameter space of nonlinear problem. In addition, the OBL approach can be used in creating physics-based data-driven models for complex subsurface processes. I will discuss several practical applications, ongoing developments and possible extensions of the proposed methodology.

 

Bio: Dr. Voskov is an Associate Professor at TU Delft. He received his PhD degree in Applied Mathematics from Gubkin’s Russian University of Oil and Gas in 2002. Dr. Voskov former positions include: senior researcher at Stanford University, founder and chief technology officer of Rock Flow Dynamics company, chief engineer at YUKOS EP company, and leading engineer-mathematician at the Institute for Problems in Mechanics within the Russian Academy of Sciences.

 

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