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Title: Massively parallel computing simulation of fluid flow in the unsaturated zone of Yucca Mountain, Nevada

Abstract

This paper presents the application of parallel computing techniques to large-scale modeling of fluid flow in the unsaturated zone (UZ) at Yucca Mountain, Nevada. In this study, parallel computing techniques, as implemented into the TOUGH2 code, are applied in large-scale numerical simulations on a distributed-memory parallel computer. The modeling study has been conducted using an over-one-million-cell three-dimensional numerical model, which incorporates a wide variety of field data for the highly heterogeneous fractured formation at Yucca Mountain. The objective of this study is to analyze the impact of various surface infiltration scenarios (under current and possible future climates) on flow through the UZ system, using various hydrogeological conceptual models with refined grids. The results indicate that the one-million-cell models produce better resolution results and reveal some flow patterns that cannot be obtained using coarse-grid modeling models.

Authors:
; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Civilian Radioactive Waste Management (US)
OSTI Identifier:
840316
Report Number(s):
LBNL-48883
R&D Project: 80KH73; TRN: US0501957
DOE Contract Number:  
AC03-76SF00098
Resource Type:
Journal Article
Journal Name:
Journal of Contaminant Hydrology
Additional Journal Information:
Journal Volume: 62-3; Journal Issue: SI; Other Information: Submitted to Journal of Contaminant Hydrology: Volume 62-63, Special Issue; Journal Publication Date: Apr-May/2003; PBD: 31 Aug 2001
Country of Publication:
United States
Language:
English
Subject:
12 MANAGEMENT OF RADIOACTIVE WASTES, AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; 58 GEOSCIENCES; CLIMATES; FLUID FLOW; FRACTURED RESERVOIRS; RESOLUTION; SIMULATION; YUCCA MOUNTAIN; PARALLEL COMPUTING FLOW MODELING YUCCA MOUNTAIN UNSATURATED ZONE NUMERICAL SIMULATION

Citation Formats

Zhang, Keni, Wu, Yu-Shu, and Bodvarsson, G.S. Massively parallel computing simulation of fluid flow in the unsaturated zone of Yucca Mountain, Nevada. United States: N. p., 2001. Web.
Zhang, Keni, Wu, Yu-Shu, & Bodvarsson, G.S. Massively parallel computing simulation of fluid flow in the unsaturated zone of Yucca Mountain, Nevada. United States.
Zhang, Keni, Wu, Yu-Shu, and Bodvarsson, G.S. Fri . "Massively parallel computing simulation of fluid flow in the unsaturated zone of Yucca Mountain, Nevada". United States. https://www.osti.gov/servlets/purl/840316.
@article{osti_840316,
title = {Massively parallel computing simulation of fluid flow in the unsaturated zone of Yucca Mountain, Nevada},
author = {Zhang, Keni and Wu, Yu-Shu and Bodvarsson, G.S.},
abstractNote = {This paper presents the application of parallel computing techniques to large-scale modeling of fluid flow in the unsaturated zone (UZ) at Yucca Mountain, Nevada. In this study, parallel computing techniques, as implemented into the TOUGH2 code, are applied in large-scale numerical simulations on a distributed-memory parallel computer. The modeling study has been conducted using an over-one-million-cell three-dimensional numerical model, which incorporates a wide variety of field data for the highly heterogeneous fractured formation at Yucca Mountain. The objective of this study is to analyze the impact of various surface infiltration scenarios (under current and possible future climates) on flow through the UZ system, using various hydrogeological conceptual models with refined grids. The results indicate that the one-million-cell models produce better resolution results and reveal some flow patterns that cannot be obtained using coarse-grid modeling models.},
doi = {},
journal = {Journal of Contaminant Hydrology},
number = SI,
volume = 62-3,
place = {United States},
year = {2001},
month = {8}
}