Paper Info
Title
Fast and green parallel isogeometric analysis computations for multi-objective optimization of liquid fossil fuel reserve exploitation with minimal groundwater contamination.
Abstract
We present a general optimization technique to minimize the execution time, energy consumption, and numerical error of a parallel isogeometric finite element method (IGA-FEM) solver for time-dependent problems. The IGA-FEM solver is called upon multiple times during inverse problem computations. It is used to evaluate the inverse problem parameters. As an exemplary challenging problem, we consider the IGA-FEM solver as a primal solver for the inverse optimization of hydraulic fracking. Liquid Fossil Fuel Extraction Problem (LFFEP) is defined to maximize extraction and minimize contamination for the hydraulic fracking process. Solving the LFFEP problem requires hundreds of computationally demanding calls to the IGA-FEM solver. Thus, we research the optimal configuration of the IGA-FEM solver to make computations more efficient; i.e., to reduce computation time and energy consumption where the input parameters are the number of utilized CPUs in a parallel environment, mesh size, and B-spline order. The algorithm presented in this paper can be used to optimize any similar time-dependent IGA-FEM simulation.
Year
DOI
Venue
2019
10.1016/j.jpdc.2019.06.010
Journal of Parallel and Distributed Computing
Keywords
Field
DocType
Isogeometric analysis,Alternating directions parallel solver,Multi-objective optimization,Fossil fuel extraction,Isogeometric analysis
Mathematical optimization,Isogeometric analysis,Computer science,Parallel computing,Multi-objective optimization,Finite element method,Inverse problem,Solver,Energy consumption,Hydraulic Fracking,Computation
Journal
Volume
ISSN
Citations 
134
0743-7315
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Leszek Siwik16713.85
M. Wozniak2277.48
Marcin Sieniek3296.39
Maciej Paszynski419336.89