Development of stochastic indicator models of lithology, Yucca Mountain, Nevada

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Indicator geostatistical techniques have been used to produce a number of fully three-dimensional stochastic simulations of large-scale lithologic categories at the Yucca Mountain site. Each realization reproduces the available drill hole data used to condition the simulation. Information is propagated away from each point of observation in accordance with a mathematical model of spatial continuity inferred through soft data taken from published geologic cross sections. Variations among the simulated models collectively represent uncertainty in the lithology at unsampled locations. These stochastic models succeed in capturing many major features of welded-nonwelded lithologic framework of Yucca Mountain. However, contacts between welded and ... continued below

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10 p.

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Rautman, C.A. & Robey, T.H. July 1, 1994.

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  • Rautman, C.A. Sandia National Labs., Albuquerque, NM (United States)
  • Robey, T.H. Spectra Research Inst., Albuquerque, NM (United States)

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

Indicator geostatistical techniques have been used to produce a number of fully three-dimensional stochastic simulations of large-scale lithologic categories at the Yucca Mountain site. Each realization reproduces the available drill hole data used to condition the simulation. Information is propagated away from each point of observation in accordance with a mathematical model of spatial continuity inferred through soft data taken from published geologic cross sections. Variations among the simulated models collectively represent uncertainty in the lithology at unsampled locations. These stochastic models succeed in capturing many major features of welded-nonwelded lithologic framework of Yucca Mountain. However, contacts between welded and nonwelded rock types for individual simulations appear more complex than suggested by field observation, and a number of probable numerical artifacts exist in these models. Many of the apparent discrepancies between the simulated models and the general geology of Yucca Mountain represent characterization uncertainty, and can be traced to the sparse site data used to condition the simulations. Several vertical stratigraphic columns have been extracted from the three-dimensional stochastic models for use in simplified total-system performance assessment exercises. Simple, manual adjustments are required to eliminate the more obvious simulation artifacts and to impose a secondary set of deterministic geologic features on the overall stratigraphic framework provided by the indictor models.

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10 p.

Notes

INIS; OSTI as DE94014177

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  • International high-level radioactive waste management conference, Las Vegas, NV (United States), 22-26 May 1994

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  • Other: DE94014177
  • Report No.: SAND--94-0155C
  • Report No.: CONF-940553--66
  • Grant Number: AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 145286
  • Archival Resource Key: ark:/67531/metadc621346

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Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • July 1, 1994

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

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  • April 13, 2016, 1:33 p.m.

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Rautman, C.A. & Robey, T.H. Development of stochastic indicator models of lithology, Yucca Mountain, Nevada, article, July 1, 1994; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc621346/: accessed October 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.