Re-evaluation of a subsurface injection experiment for testing flow and transport models

Fayer, M.J.; Lewis, R.E.; Engelman, Robert; Pearson, A.; Murray, Chris; Smoot, J.L.; Randall, P.R.; Wegener, Wolfgang

doi:10.2172/189113

Cited by 17 publications

(34 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Two field injection experiments were conducted at the site in 1980 [Sisson and Lu, 1984] and 2000 [Ward et al, 2000;Gee and Ward, 2001]. Several numerical simulations have been conducted, with mixed success, to simulate the 1980 and 2000 moisture plumes [Fayer et al, 1995;Rockhold et al, 1999;Ward et al, 2000;Gee and Ward, 2001;Zhang et al, 2004;Ye et al, , 2007Yeh et al, 2005;Kowalsky et al, 2005;Ward et al, 2006aWard et al, , 2006b]. …”

Section: Methodsmentioning

confidence: 99%

A Markov chain model for characterizing medium heterogeneity and sediment layering structure

Khaleel

2008

Water Resources Research

View full text Add to dashboard Cite

[1] By leveraging use of ''soft'' data (e.g., initial moisture content, q i ), this study applies the transition probability (TP) based Markov chain (MC) model to sediment textural classes for characterizing the medium heterogeneity and sediment layering structure. The TP/MC method is evaluated by simulating the vadose zone moisture movement at a field site, where the stratigraphy consists of imperfectly stratified soil layers. Soil heterogeneity is characterized via spatial variability of the geometry of soil textural classes. When the q i measurements, which carry signature about medium heterogeneity and stratigraphy, are not included in the TP/MC model, it is not possible to identify the horizontal TP. The q i measurements, when transformed into soil classes, are necessary in mapping the soil layering structure prevalent at the site. The soil hydraulic parameters for each soil class are treated deterministically and are estimated on the basis of core samples. To evaluate uncertainty in characterizing geometry of the soil classes, multiple conditional realizations of the soil classes are generated. A Monte Carlo simulation shows that the simulated mean moisture contents agree well with corresponding field observations. The observed splitting of the moisture plume in a coarse sand layer that is sandwiched between two fine-textured layers, the southeastward movement of the plume during the redistribution period, and the near-zero fluid flux below the bottom fine layer are adequately simulated. Spatial variability of the field-measured moisture content is sufficiently captured by the 95% confidence intervals calculated from the Monte Carlo simulations. Investigating the effect of data conditioning on the simulated results shows that a reduction of conditioning data does not necessarily deteriorate simulation results if other conditioning data exist within the mean length of the soil classes. The TP/MC method is flexible so that other types of site characterization data (e.g., geophysical data) can be incorporated as they become available.Citation: Ye, M., and R. Khaleel (2008), A Markov chain model for characterizing medium heterogeneity and sediment layering structure, Water Resour. Res., 44, W09427,

show abstract

Section: Methodsmentioning

confidence: 99%

A Markov chain model for characterizing medium heterogeneity and sediment layering structure

Khaleel

2008

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…These geophysical tools were deployed by Schlumberger Wireline Services aftercalibration of the two water content probes. Description of the logging equipment and results of these additional tests can be found in (Engleman et al 1995a,b) and Fayer et al (1995).…”

Section: Previous Tests and Monitoringmentioning

confidence: 99%

“…Inspection of the gamma-log data for bulk density (Fayer et al 1995) suggests that the values may be lower than the actual field densities. Only wet density data are available, and these values appear to be low by as much as 20°/0,particularly at depths below 7 m. Wet densities reported for depths from 12 to 15 m in Well E-1 were less than 1.3 g cm-3, and the reported water contents were slightly more than 6 VO1'XO.…”

Section: Previous Tests and Monitoringmentioning

confidence: 99%

“…Fayer et al (1995) noted that the LDS gamma-gamma sensor had not been calibrated for site conditions, so the data are in question. Further deployment with the LDS sensor will require calibration under site-specific conditions.…”

Section: Amentioning

confidence: 99%

“…Neutron probes have been used to monitor water content at the Sisson and Lu injection site in the past Fayer et al , 1995. These probes are used routinely to monitor field water contents at the Hanford Site (e.g., Ward and Gee, 1997;Fayer et al 1999;DOE 1999b).…”

Section: Neutron Moisture Loggingmentioning

confidence: 99%

See 2 more Smart Citations