Search Menu
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information
Search Scholarly Publications

Title: Impact of petrophysical uncertainty on Bayesian hydrogeophysical inversion and model selection

Abstract

Quantitative hydrogeophysical studies rely heavily on petrophysical relationships that link geophysical properties to hydrogeological properties and state variables. Coupled inversion studies are frequently based on the questionable assumption that these relationships are perfect (i.e., no scatter). Using synthetic examples and crosshole ground-penetrating radar (GPR) data from the South Oyster Bacterial Transport Site in Virginia, USA, we investigate the impact of spatially-correlated petrophysical uncertainty on inferred posterior porosity and hydraulic conductivity distributions and on Bayes factors used in Bayesian model selection. Our study shows that accounting for petrophysical uncertainty in the inversion (I) decreases bias of the inferred variance of hydrogeological subsurface properties, (II) provides more realistic uncertainty assessment and (III) reduces the overconfidence in the ability of geophysical data to falsify conceptual hydrogeological models.

Authors:
 [1];  [1]
+ Show Author Affiliations
  1. Univ. of Lausanne, Lausanne (Switzerland). Inst. of Earth Sciences, Applied and Environmental Geophysics Group
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1567104
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Advances in Water Resources
Additional Journal Information:
Journal Volume: 111; Journal Issue: C; Journal ID: ISSN 0309-1708
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; petrophysical uncertainty; hydrogeophysics; Bayesian model selection; Bayesian inversion; evidence; conceptual model

Citation Formats

Brunetti, Carlotta, and Linde, Niklas. Impact of petrophysical uncertainty on Bayesian hydrogeophysical inversion and model selection. United States: N. p., 2018. Web. doi:10.1016/j.advwatres.2017.11.028.
Copy to clipboard
Brunetti, Carlotta, & Linde, Niklas. Impact of petrophysical uncertainty on Bayesian hydrogeophysical inversion and model selection. United States. https://doi.org/10.1016/j.advwatres.2017.11.028
Copy to clipboard
Brunetti, Carlotta, and Linde, Niklas. Mon . "Impact of petrophysical uncertainty on Bayesian hydrogeophysical inversion and model selection". United States. https://doi.org/10.1016/j.advwatres.2017.11.028. https://www.osti.gov/servlets/purl/1567104.
Copy to clipboard
@article{osti_1567104,
title = {Impact of petrophysical uncertainty on Bayesian hydrogeophysical inversion and model selection},
author = {Brunetti, Carlotta and Linde, Niklas},
abstractNote = {Quantitative hydrogeophysical studies rely heavily on petrophysical relationships that link geophysical properties to hydrogeological properties and state variables. Coupled inversion studies are frequently based on the questionable assumption that these relationships are perfect (i.e., no scatter). Using synthetic examples and crosshole ground-penetrating radar (GPR) data from the South Oyster Bacterial Transport Site in Virginia, USA, we investigate the impact of spatially-correlated petrophysical uncertainty on inferred posterior porosity and hydraulic conductivity distributions and on Bayes factors used in Bayesian model selection. Our study shows that accounting for petrophysical uncertainty in the inversion (I) decreases bias of the inferred variance of hydrogeological subsurface properties, (II) provides more realistic uncertainty assessment and (III) reduces the overconfidence in the ability of geophysical data to falsify conceptual hydrogeological models.},
doi = {10.1016/j.advwatres.2017.11.028},
journal = {Advances in Water Resources},
number = C,
volume = 111,
place = {United States},
year = {Mon Jan 01 00:00:00 EST 2018},
month = {Mon Jan 01 00:00:00 EST 2018}
}
Copy to clipboard
Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1016/j.advwatres.2017.11.028
Copyright Statement
Other availability
Search WorldCat Search WorldCat to find libraries that may hold this journal
Citation Metrics:
Cited by: 12 works
Citation information provided by
Web of Science

Figures / Tables:

Table 1 Table 1: First column, method used to sample ∆p; second column, standard deviation of the measurement errors used to contaminate the data; third column, average acceptance rate; fourth column, number of iterations needed to reach convergence.
All figures and tables (17 total)
Save / Share:
Export Metadata
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.

Works referenced in this record:

Lithologic tomography: From plural geophysical data to lithology estimation
journal, January 1999

  • Bosch, Miguel
  • Journal of Geophysical Research: Solid Earth, Vol. 104, Issue B1
  • DOI: 10.1029/1998JB900014

Petrophysical seismic inversion conditioned to well-log data: Methods and application to a gas reservoir
journal, March 2009

  • Bosch, Miguel; Carvajal, Carla; Rodrigues, Juan
  • GEOPHYSICS, Vol. 74, Issue 2
  • DOI: 10.1190/1.3043796

Learning about physical parameters: the importance of model discrepancy
journal, October 2014

Geophysical-hydrological identification of field permeabilities through Bayesian updating
journal, August 1993

  • Copty, Nadim; Rubin, Yoram; Mavko, Gary
  • Water Resources Research, Vol. 29, Issue 8
  • DOI: 10.1029/93WR00745

Applying petrophysical models to radar travel time and electrical resistivity tomograms: Resolution-dependent limitations
journal, January 2005

  • Day-Lewis, Frederick D.
  • Journal of Geophysical Research, Vol. 110, Issue B8
  • DOI: 10.1029/2004JB003569

Zonation for 3D aquifer characterization based on joint inversions of multimethod crosshole geophysical data
journal, November 2010

  • Doetsch, Joseph; Linde, Niklas; Coscia, Ilaria
  • GEOPHYSICS, Vol. 75, Issue 6
  • DOI: 10.1190/1.3496476

Porosity from seismic data: A geostatistical approach
journal, October 1988

Inference from Iterative Simulation Using Multiple Sequences
journal, November 1992

Probabilistic petrophysical-properties estimation integrating statistical rock physics with seismic inversion
journal, May 2010

  • Grana, Dario; Della Rossa, Ernesto
  • GEOPHYSICS, Vol. 75, Issue 3
  • DOI: 10.1190/1.3386676

Joint inversion: a structural approach
journal, February 1997

Accounting for imperfect forward modeling in geophysical inverse problems — Exemplified for crosshole tomography
journal, May 2014

  • Hansen, Thomas Mejer; Cordua, Knud Skou; Jacobsen, Bo Holm
  • GEOPHYSICS, Vol. 79, Issue 3
  • DOI: 10.1190/geo2013-0215.1

Monte Carlo sampling methods using Markov chains and their applications
journal, April 1970

Direct prediction of spatially and temporally varying physical properties from time-lapse electrical resistance data: DIRECT FORECAST FROM TL RESISTANCE DATA
journal, September 2016

  • Hermans, Thomas; Oware, Erasmus; Caers, Jef
  • Water Resources Research, Vol. 52, Issue 9
  • DOI: 10.1002/2016WR019126

Improved extraction of hydrologic information from geophysical data through coupled hydrogeophysical inversion: COUPLED HYDROGEOPHYSICAL INVERSION
journal, April 2010

  • Hinnell, A. C.; Ferré, T. P. A.; Vrugt, J. A.
  • Water Resources Research, Vol. 46, Issue 4
  • DOI: 10.1029/2008WR007060

Hydrogeological characterization of the south oyster bacterial transport site using geophysical data
journal, October 2001

  • Hubbard, Susan S.; Chen, Jinsong; Peterson, John
  • Water Resources Research, Vol. 37, Issue 10
  • DOI: 10.1029/2001WR000279

Some Tests of Significance, Treated by the Theory of Probability
journal, April 1935

  • Jeffreys, Harold
  • Mathematical Proceedings of the Cambridge Philosophical Society, Vol. 31, Issue 2
  • DOI: 10.1017/S030500410001330X

Bayes Factors
journal, June 1995

On uncertainty quantification in hydrogeology and hydrogeophysics
journal, December 2017

Joint inversion of crosshole radar and seismic traveltimes acquired at the South Oyster Bacterial Transport Site
journal, July 2008

  • Linde, Niklas; Tryggvason, Ari; Peterson, John E.
  • GEOPHYSICS, Vol. 73, Issue 4
  • DOI: 10.1190/1.2937467

Distributed Soil Moisture from Crosshole Ground-Penetrating Radar Travel Times using Stochastic Inversion
journal, January 2013

Probabilistic electrical resistivity tomography of a CO2 sequestration analog
journal, August 2014

Structure-coupled joint inversion of geophysical and hydrological data
journal, May 2013

  • Lochbühler, Tobias; Doetsch, Joseph; Brauchler, Ralf
  • GEOPHYSICS, Vol. 78, Issue 3
  • DOI: 10.1190/geo2012-0460.1

Summary statistics from training images as prior information in probabilistic inversion
journal, February 2015

  • Lochbühler, Tobias; Vrugt, Jasper A.; Sadegh, Mojtaba
  • Geophysical Journal International, Vol. 201, Issue 1
  • DOI: 10.1093/gji/ggv008

Bayesian Interpolation
journal, May 1992

Equation of State Calculations by Fast Computing Machines
journal, June 1953

  • Metropolis, Nicholas; Rosenbluth, Arianna W.; Rosenbluth, Marshall N.
  • The Journal of Chemical Physics, Vol. 21, Issue 6
  • DOI: 10.1063/1.1699114

Mapping lithofacies and pore‐fluid probabilities in a North Sea reservoir: Seismic inversions and statistical rock physics
journal, July 2001

  • Mukerji, T.; Jørstad, A.; Avseth, P.
  • GEOPHYSICS, Vol. 66, Issue 4
  • DOI: 10.1190/1.1487078

Finite difference computation of traveltimes in very contrasted velocity models: a massively parallel approach and its associated tools
journal, April 1991

Mapping permeability in heterogeneous aquifers using hydrologic and seismic data
journal, July 1992

  • Rubin, Yoram; Mavko, Gary; Harris, Jerry
  • Water Resources Research, Vol. 28, Issue 7
  • DOI: 10.1029/92WR00154

Lessons Learned from Bacterial Transport Research at the South Oyster Site
journal, June 2011

Finding the right balance between groundwater model complexity and experimental effort via Bayesian model selection
journal, December 2015

A statistical concept to assess the uncertainty in Bayesian model weights and its impact on model ranking: ASSESSING THE UNCERTAINTY IN BAYESIAN MODEL WEIGHTS
journal, September 2015

  • Schöniger, Anneli; Wöhling, Thomas; Nowak, Wolfgang
  • Water Resources Research, Vol. 51, Issue 9
  • DOI: 10.1002/2015WR016918

Fast probabilistic nonlinear petrophysical inversion
journal, March 2011

  • Shahraeeni, Mohammad S.; Curtis, Andrew
  • GEOPHYSICS, Vol. 76, Issue 2
  • DOI: 10.1190/1.3540628

Fast probabilistic petrophysical mapping of reservoirs from 3D seismic data
journal, May 2012

  • Shahraeeni, Mohammad S.; Curtis, Andrew; Chao, Gabriel
  • GEOPHYSICS, Vol. 77, Issue 3
  • DOI: 10.1190/geo2011-0340.1

Joint inversion of multiple geophysical data using guided fuzzy c -means clustering
journal, May 2016

Joint inversion of multiple geophysical and petrophysical data using generalized fuzzy clustering algorithms
journal, November 2016

  • Sun, Jiajia; Li, Yaoguo
  • Geophysical Journal International, Vol. 208, Issue 2
  • DOI: 10.1093/gji/ggw442

Utilizing the onset of time-lapse changes: a robust basis for reservoir monitoring and characterization
journal, January 2014

  • Vasco, D. W.; Daley, Thomas M.; Bakulin, Andrey
  • Geophysical Journal International, Vol. 197, Issue 1
  • DOI: 10.1093/gji/ggt526

Sworn testimony of the model evidence: Gaussian Mixture Importance (GAME) sampling: SWORN TESTIMONY OF THE MODEL EVIDENCE
journal, July 2017

  • Volpi, Elena; Schoups, Gerrit; Firmani, Giovanni
  • Water Resources Research, Vol. 53, Issue 7
  • DOI: 10.1002/2016WR020167

A Bayesian approach to improved calibration and prediction of groundwater models with structural error
journal, November 2015

  • Xu, Tianfang; Valocchi, Albert J.
  • Water Resources Research, Vol. 51, Issue 11
  • DOI: 10.1002/2015WR017912
    Sort by:
    [ × clear filter / sort ]

    Works referencing / citing this record:

    On the Field Estimation of Moisture Content Using Electrical Geophysics: The Impact of Petrophysical Model Uncertainty
    journal, August 2019

    • Tso, Chak‐Hau Michael; Kuras, Oliver; Binley, Andrew
    • Water Resources Research, Vol. 55, Issue 8
    • DOI: 10.1029/2019wr024964
      Sort by:
      [ × clear filter / sort ]

      Figures / Tables found in this record:

      Table 1 (p. 14)table
      Figure 1 (p. 15)figure
      Figure 2 (p. 17)figure
      Table 2 (p. 18)table
      Figure 3 (p. 19)figure
      Figure 4 (p. 21)figure
      Figure 5 (p. 23)figure
      Table 3 (p. 24)table
      Table 4 (p. 25)table
      Figure 6 (p. 26)figure
      Figure 7 (p. 28)figure
      Figure 8 (p. 29)figure
      Table 5 (p. 31)table
      Figure 9 (p. 33)figure
      Figure 10 (p. 35)figure
      Figure 11 (p. 36)figure
      Figure 12 (p. 37)figure
        [ × clear filter / sort ]
        Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.

        Similar Records in DOE PAGES and OSTI.GOV collections: