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Title: PFLOTRAN-E4D: A parallel open source PFLOTRAN module for simulating time-lapse electrical resistivity data

Abstract

Time-lapse electrical resistivity tomography (ERT) is finding increased application for remotely monitoring processes occurring in the near subsurface in three-dimensions (i.e. 4D monitoring). However, there are few codes capable of simulating the evolution of subsurface resistivity and corresponding tomographic measurements arising from a particular process, particularly in parallel and with an open source license. Herein we describe and demonstrate an electrical resistivity tomography module for the PFLOTRAN subsurface flow and reactive transport simulation code, named PFLOTRAN-E4D. The PFLOTRAN-E4D module operates in parallel using a dedicated set of compute cores in a master-slave configuration. At each time step, the master processes receives subsurface states from PFLOTRAN, converts those states to bulk electrical conductivity, and instructs the slave processes to simulate a tomographic data set. The resulting multi-physics simulation capability enables accurate feasibility studies for ERT imaging, the identification of the ERT signatures that are unique to a given process, and facilitates the joint inversion of ERT data with hydrogeological data for subsurface characterization. PFLOTRAN-E4D is demonstrated herein using a field study of stage-driven groundwater/river water interaction ERT monitoring along the Columbia River, Washington, USA. Results demonstrate the complex nature of subsurface electrical conductivity changes, in both the saturated and unsaturated zones,more » arising from river stage fluctuations and associated river water intrusion into the aquifer. Furthermore, the results also demonstrate the sensitivity of surface based ERT measurements to those changes over time.« less

Authors:
 [1];  [2];  [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1371473
Alternate Identifier(s):
OSTI ID: 1397375
Report Number(s):
SAND-2016-5314J
Journal ID: ISSN 0098-3004; PII: S0098300416304289
Grant/Contract Number:  
AC04-94AL85000; 54737
Resource Type:
Accepted Manuscript
Journal Name:
Computers and Geosciences
Additional Journal Information:
Journal Volume: 99; Journal Issue: C; Journal ID: ISSN 0098-3004
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 58 GEOSCIENCES; hydrogeophysics; time-lapse geophysics; electrical resistivity tomography; groundwater; simulation; multi-physics; parallel; open-source

Citation Formats

Johnson, Timothy C., Hammond, Glenn E., and Chen, Xingyuan. PFLOTRAN-E4D: A parallel open source PFLOTRAN module for simulating time-lapse electrical resistivity data. United States: N. p., 2016. Web. doi:10.1016/j.cageo.2016.09.006.
Johnson, Timothy C., Hammond, Glenn E., & Chen, Xingyuan. PFLOTRAN-E4D: A parallel open source PFLOTRAN module for simulating time-lapse electrical resistivity data. United States. https://doi.org/10.1016/j.cageo.2016.09.006
Johnson, Timothy C., Hammond, Glenn E., and Chen, Xingyuan. Thu . "PFLOTRAN-E4D: A parallel open source PFLOTRAN module for simulating time-lapse electrical resistivity data". United States. https://doi.org/10.1016/j.cageo.2016.09.006. https://www.osti.gov/servlets/purl/1371473.
@article{osti_1371473,
title = {PFLOTRAN-E4D: A parallel open source PFLOTRAN module for simulating time-lapse electrical resistivity data},
author = {Johnson, Timothy C. and Hammond, Glenn E. and Chen, Xingyuan},
abstractNote = {Time-lapse electrical resistivity tomography (ERT) is finding increased application for remotely monitoring processes occurring in the near subsurface in three-dimensions (i.e. 4D monitoring). However, there are few codes capable of simulating the evolution of subsurface resistivity and corresponding tomographic measurements arising from a particular process, particularly in parallel and with an open source license. Herein we describe and demonstrate an electrical resistivity tomography module for the PFLOTRAN subsurface flow and reactive transport simulation code, named PFLOTRAN-E4D. The PFLOTRAN-E4D module operates in parallel using a dedicated set of compute cores in a master-slave configuration. At each time step, the master processes receives subsurface states from PFLOTRAN, converts those states to bulk electrical conductivity, and instructs the slave processes to simulate a tomographic data set. The resulting multi-physics simulation capability enables accurate feasibility studies for ERT imaging, the identification of the ERT signatures that are unique to a given process, and facilitates the joint inversion of ERT data with hydrogeological data for subsurface characterization. PFLOTRAN-E4D is demonstrated herein using a field study of stage-driven groundwater/river water interaction ERT monitoring along the Columbia River, Washington, USA. Results demonstrate the complex nature of subsurface electrical conductivity changes, in both the saturated and unsaturated zones, arising from river stage fluctuations and associated river water intrusion into the aquifer. Furthermore, the results also demonstrate the sensitivity of surface based ERT measurements to those changes over time.},
doi = {10.1016/j.cageo.2016.09.006},
journal = {Computers and Geosciences},
number = C,
volume = 99,
place = {United States},
year = {Thu Sep 22 00:00:00 EDT 2016},
month = {Thu Sep 22 00:00:00 EDT 2016}
}

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Works referenced in this record:

The emergence of hydrogeophysics for improved understanding of subsurface processes over multiple scales: The Emergence of Hydrogeophysics
journal, June 2015

  • Binley, Andrew; Hubbard, Susan S.; Huisman, Johan A.
  • Water Resources Research, Vol. 51, Issue 6
  • DOI: 10.1002/2015WR017016

MPiTOUGH2: A parallel parameter estimation framework for hydrological and hydrogeophysical applications
journal, April 2014


Cross‐borehole resistivity tomography
journal, August 1991


Evaluating the performance of parallel subsurface simulators: An illustrative example with PFLOTRAN: Evaluating the Parallel Performance of Pflotran
journal, January 2014

  • Hammond, G. E.; Lichtner, P. C.; Mills, R. T.
  • Water Resources Research, Vol. 50, Issue 1
  • DOI: 10.1002/2012WR013483

Stochastic joint inversion of hydrogeophysical data for salt tracer test monitoring and hydraulic conductivity imaging
journal, February 2013


Accurate modelling and inversion of electrical resistivity data in the presence of metallic infrastructure with known location and dimension
journal, June 2015

  • Johnson, T. C.; Wellman, D.
  • Geophysical Journal International, Vol. 202, Issue 2
  • DOI: 10.1093/gji/ggv206

Improved hydrogeophysical characterization and monitoring through parallel modeling and inversion of time-domain resistivity andinduced-polarization data
journal, July 2010

  • Johnson, Timothy C.; Versteeg, Roelof J.; Ward, Andy
  • Geophysics, Vol. 75, Issue 4, p. WA27-WA41
  • DOI: 10.1190/1.3475513

Review: Some low-frequency electrical methods for subsurface characterization and monitoring in hydrogeology
journal, February 2012


Coupled hydrogeophysical parameter estimation using a sequential Bayesian approach
journal, January 2010

  • Rings, J.; Huisman, J. A.; Vereecken, H.
  • Hydrology and Earth System Sciences, Vol. 14, Issue 3
  • DOI: 10.5194/hess-14-545-2010

Three-dimensional modelling and inversion of dc resistivity data incorporating topography - I. Modelling
journal, August 2006


Advances in interpretation of subsurface processes with time-lapse electrical imaging
journal, August 2014

  • Singha, K.; Day-Lewis, F. D.; Johnson, T.
  • Hydrological Processes, Vol. 29, Issue 6, p. 1549-1576
  • DOI: 10.1002/hyp.10280

A Closed-form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils1
journal, January 1980