Bayesian approach for three-dimensional aquifer characterization at the Hanford 300 Area

Journal Article · Thu Oct 21 04:00:00 EDT 2010 · Hydrology and Earth System Sciences, 14:1989-2001

DOI:https://doi.org/10.5194/hess-14-1989-2010· OSTI ID:1076732

Murakami, Haruko; Chen, X.; Hahn, Melanie S.; Liu, Yi; Rockhold, Mark L.; Vermeul, Vincent R.; Zachara, John M.; Rubin, Yoram

This study presents a stochastic, three-dimensional characterization of a heterogeneous hydraulic conductivity field within DOE's Hanford 300 Area site, Washington, by assimilating large-scale, constant-rate injection test data with small-scale, three-dimensional electromagnetic borehole flowmeter (EBF) measurement data. We first inverted the injection test data to estimate the transmissivity field, using zeroth-order temporal moments of pressure buildup curves. We applied a newly developed Bayesian geostatistical inversion framework, the method of anchored distributions (MAD), to obtain a joint posterior distribution of geostatistical parameters and local log-transmissivities at multiple locations. The unique aspects of MAD that make it suitable for this purpose are its ability to integrate multi-scale, multi-type data within a Bayesian framework and to compute a nonparametric posterior distribution. After we combined the distribution of transmissivities with depth-discrete relative-conductivity profile from EBF data, we inferred the three-dimensional geostatistical parameters of the log-conductivity field, using the Bayesian model-based geostatistics. Such consistent use of the Bayesian approach throughout the procedure enabled us to systematically incorporate data uncertainty into the final posterior distribution. The method was tested in a synthetic study and validated using the actual data that was not part of the estimation. Results showed broader and skewed posterior distributions of geostatistical parameters except for the mean, which suggests the importance of inferring the entire distribution to quantify the parameter uncertainty.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1076732
• Report Number(s): PNNL-SA-75939; KP1702030
• Journal Information: Hydrology and Earth System Sciences, 14:1989-2001, Journal Name: Hydrology and Earth System Sciences, 14:1989-2001
• Country of Publication: United States
• Language: English