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Discrete fracture modelling for the Stripa site characterization and validation drift inflow predictions

Abstract

Groundwater flow through three-dimensional networks of discrete fractures was modeled to predict the flux into a fifty meter long drift, as part of the site characterization and validation project conducted during phase 3 of the Stripa project. Predictions were made on the basis of a site scale discrete fracture conceptual model developed by synthesis of geological, geophysical, and hydrological site characterization data. Individual fractures were treated as stochastic features, described by probability distributions of geometric and hydrologic properties. Fractures were divided into three populations: Fractures within fracture zones near the drift, non-fracture zone fractures near the drift, and fractures in fracture zones over 20 meters from the drift. Fractures outside fracture zones are not modelled beyond 20 meters from the drift. Both data analysis and flow predictions were produced using the FracMan discrete fracture modelling package. Probabilistic flow predictions were produced in seven formats specified by the Stripa task force on fracture flow modelling. (au).
Authors:
Dershowitz, W; Wallmann, P; Kindred, S [1] 
  1. Golder Associates Inc., Redmond, WA (United States)
Publication Date:
Jun 01, 1991
Product Type:
Technical Report
Report Number:
STRIPA-TR-91-16
Reference Number:
SCA: 540250; 052002; PA: AIX-23:030434; SN: 92000709411
Resource Relation:
Other Information: PBD: Jun 1991
Subject:
54 ENVIRONMENTAL SCIENCES; 12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; WATER INFLUX; GEOLOGIC FRACTURES; BOREHOLES; EXPERIMENTAL DATA; GEOLOGY; GROUND WATER; HYDRAULIC CONDUCTIVITY; RADIOACTIVE WASTE DISPOSAL; RADIONUCLIDE MIGRATION; SIMULATION; SITE SURVEYS; STATISTICS; UNDERGROUND DISPOSAL; 540250; 052002; SITE RESOURCE AND USE STUDIES; WASTE DISPOSAL AND STORAGE
OSTI ID:
10135751
Research Organizations:
Swedish Nuclear Fuel and Waste Management Co., Stockholm (Sweden)
Country of Origin:
Sweden
Language:
English
Other Identifying Numbers:
Other: ON: DE92623519; TRN: SE9200001030434
Availability:
OSTI; NTIS (US Sales Only); INIS
Submitting Site:
SWDN
Size:
140 p.
Announcement Date:
Jul 05, 2005

Citation Formats

Dershowitz, W, Wallmann, P, and Kindred, S. Discrete fracture modelling for the Stripa site characterization and validation drift inflow predictions. Sweden: N. p., 1991. Web.
Dershowitz, W, Wallmann, P, & Kindred, S. Discrete fracture modelling for the Stripa site characterization and validation drift inflow predictions. Sweden.
Dershowitz, W, Wallmann, P, and Kindred, S. 1991. "Discrete fracture modelling for the Stripa site characterization and validation drift inflow predictions." Sweden.
@misc{etde_10135751,
title = {Discrete fracture modelling for the Stripa site characterization and validation drift inflow predictions}
author = {Dershowitz, W, Wallmann, P, and Kindred, S}
abstractNote = {Groundwater flow through three-dimensional networks of discrete fractures was modeled to predict the flux into a fifty meter long drift, as part of the site characterization and validation project conducted during phase 3 of the Stripa project. Predictions were made on the basis of a site scale discrete fracture conceptual model developed by synthesis of geological, geophysical, and hydrological site characterization data. Individual fractures were treated as stochastic features, described by probability distributions of geometric and hydrologic properties. Fractures were divided into three populations: Fractures within fracture zones near the drift, non-fracture zone fractures near the drift, and fractures in fracture zones over 20 meters from the drift. Fractures outside fracture zones are not modelled beyond 20 meters from the drift. Both data analysis and flow predictions were produced using the FracMan discrete fracture modelling package. Probabilistic flow predictions were produced in seven formats specified by the Stripa task force on fracture flow modelling. (au).}
place = {Sweden}
year = {1991}
month = {Jun}
}