A GPU-based integrated simulation framework for modelling of complex subsurface applications

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Abstract

Alternative to CPU computing architectures, such as GPU, continue to evolve increasing the gap in peak memory bandwidth achievable on a conventional workstation or laptop. Such architectures are attractive for reservoir simulation, which performance is generally bounded by system memory bandwidth. However, to harvest the benefit of a new architecture, the source code has to be inevitably rewritten, sometimes almost completely. One of the biggest challenges here is to refactor the Jacobian assembly which typically involves large volumes of code and complex data processing. We demonstrate an effective and general way to simplify the linearization stage extracting complex physics-related computations from the main simulation loop and leaving only an algebraic multi-linear interpolation kernel instead. In this work, we provide the detailed description of simulation performance benefits from execution of the entire nonlinear loop on the GPU platform. We evaluate the computational performance of Delft Advanced Research Terra Simulator (DARTS) for various subsurface applications of practical interest on both CPU and GPU platforms, comparing particular workflow phases including Jacobian assembly and linear system solution with both stages of the Constraint Pressure Residual preconditioner.

Original languageEnglish
Title of host publicationSociety of Petroleum Engineers - SPE Reservoir Simulation Conference 2021, RSC 2021
PublisherSociety of Petroleum Engineers
Number of pages15
ISBN (Electronic)9781613997475
DOIs
Publication statusPublished - 2021
EventSPE Reservoir Simulation Conference 2021 - Virtual event
Duration: 26 Oct 20211 Nov 2021
https://www.spe.org/events/en/2021/conference/21rsc/reservoir-simulation-conference

Conference

ConferenceSPE Reservoir Simulation Conference 2021
Abbreviated titleRSC 2021
Period26/10/211/11/21
Internet address

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • sustainable development
  • enhanced recovery
  • reservoir characterization
  • climate change
  • subsurface storage
  • social responsibility
  • upstream oil & gas
  • simulation
  • renewable energy
  • peak memory bandwidth

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