Compound random field models of multiple scale hydraulic conductivity

Conference · Tue Sep 01 04:00:00 EDT 1992

OSTI ID:10134465

Haselow, J S ^[1]; Brannan, J R ^[2]

---

1. Westinghouse Savannah River Co., Aiken, SC (United States)
2. Clemson Univ., SC (United States)

Enormous amounts of hydrologic data are required to accurately simulate subsurface contaminant transport. Effectively supplementing measurements of hydrologic parameters such as permeability and porosity with ``soft`` information obtained from the interpretation of geologic cores and geophysical logs can improve the simulation of contaminant transport while reducing the measured data that are required. A method is presented herein for generating hydraulic conductivity fields comprised of several geological materials with hydraulic conductivities that can range over several orders of magnitude. This method utilizes indicator fields that are designed to allow random variation at the megascopic scale but are constrained by observations inferred from geophysical logs and geologic core data. The statistical description of random hydraulic conductivity values of distinct geological materials at the macroscopic scale may be obtained by conventional parameter estimation techniques. The combined approach can then be used to generate realizations of a hydraulic conductivity field for subsequent use in flow and transport simulations.

• Research Organization: Westinghouse Savannah River Co., Aiken, SC (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: AC09-89SR18035
• OSTI ID: 10134465
• Report Number(s): WSRC-MS--92-342; CONF-921202--1; ON: DE93003186
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
540220
99 GENERAL AND MISCELLANEOUS
990200
ALGORITHMS
AQUIFERS
CHEMICALS MONITORING AND TRANSPORT
ENVIRONMENTAL TRANSPORT
GROUND WATER
HYDRAULIC CONDUCTIVITY
HYDROLOGY
MATHEMATICAL MODELS
MATHEMATICS AND COMPUTERS
POLLUTANTS
SAVANNAH RIVER PLANT
SOILS