Improved hydrogeophysical characterization and monitoring through parallel modeling and inversion of time-domain resistivity and induced-polarization data

Johnson, Timothy C; Versteeg, Roeof J; Ward, Andy; Day-Lewis, Frederick D; Revil, Andre

Title: Improved hydrogeophysical characterization and monitoring through parallel modeling and inversion of time-domain resistivity and induced-polarization data

Full Record
Other Related Research

Abstract

Electrical geophysical methods have found wide use in the growing discipline of hydrogeophysics, both for characterizing the electrical properties of the subsurface, and for monitoring subsurface processes in terms of the spatiotemporal changes in subsurface conductivity, chargeability, and source currents they govern. Current multichannel and multielectrode data collections systems are able to collect large amounts of data in relatively short periods of time. However, practitioners are often unable to fully utilize these large data sets and the information they contain due to the processing limitations of standard desktop computers. This limitation can be addressed by utilizing the storage and processing capabilities of high-performance parallel computing environments. We present a parallel distributed-memory forward and inverse modeling algorithm for analyzing resistivity and time-domain induced polarization data. The primary components of the parallel computations include distributed computation of the pole solutions in forward mode, distributed storage and computation of the Jacobian matrix in inverse mode, and parallel execution of the inverse equation solver. We demonstrate the corresponding parallel code for three efforts: (1) resistivity characterization of the Hanford 300 Area Integrated Field Research Challenge site in Hanford, WA; (2) resistivity characterization of a volcanic island in the southern Tyrrhenian Sea in Italy; andmore »« less

Authors:: Johnson, Timothy C; Versteeg, Roeof J; Ward, Andy; Day-Lewis, Frederick D; Revil, Andre

Publication Date:: Wed Sep 01 00:00:00 EDT 2010

Research Org.:: Idaho National Lab. (INL), Idaho Falls, ID (United States)

Sponsoring Org.:: DOE - EM

OSTI Identifier:: 990351

Report Number(s):: INL/JOU-09-16448
Journal ID: ISSN 0016-8033; GPYSA7; TRN: US201020%%351

DOE Contract Number:: DE-AC07-05ID14517

Resource Type:: Journal Article

Journal Name:: Geophysics

Additional Journal Information:: Journal Volume: 75; Journal Issue: 5; Journal ID: ISSN 0016-8033

Country of Publication:: United States

Language:: English

Subject:: 58 GEOSCIENCES; ALGORITHMS; COMPUTERS; ELECTRICAL PROPERTIES; ISLANDS; ITALY; MONITORING; POLARIZATION; PROCESSING; SEAS; SIMULATION; STORAGE; US SUPERFUND; geophysical inversion; monitoring; parameter estimation; parrallel computing

Citation Formats


                    Johnson, Timothy C, Versteeg, Roeof J, Ward, Andy, Day-Lewis, Frederick D, and Revil, Andre. Improved hydrogeophysical characterization and monitoring through parallel modeling and inversion of time-domain resistivity and induced-polarization data.  United States: N. p., 2010. 
        Web.

Copy to clipboard


                    Johnson, Timothy C, Versteeg, Roeof J, Ward, Andy, Day-Lewis, Frederick D, & Revil, Andre. Improved hydrogeophysical characterization and monitoring through parallel modeling and inversion of time-domain resistivity and induced-polarization data.  United States.

Copy to clipboard


                    Johnson, Timothy C, Versteeg, Roeof J, Ward, Andy, Day-Lewis, Frederick D, and Revil, Andre. 2010.  
        "Improved hydrogeophysical characterization and monitoring through parallel modeling and inversion of time-domain resistivity and induced-polarization data".  United States.

Copy to clipboard


                    
@article{osti_990351,

  title        = {Improved hydrogeophysical characterization and monitoring through parallel modeling and inversion of time-domain resistivity and induced-polarization data},

  author       = {Johnson, Timothy C and Versteeg, Roeof J and Ward, Andy and Day-Lewis, Frederick D and Revil, Andre},

  abstractNote = {Electrical geophysical methods have found wide use in the growing discipline of hydrogeophysics, both for characterizing the electrical properties of the subsurface, and for monitoring subsurface processes in terms of the spatiotemporal changes in subsurface conductivity, chargeability, and source currents they govern. Current multichannel and multielectrode data collections systems are able to collect large amounts of data in relatively short periods of time. However, practitioners are often unable to fully utilize these large data sets and the information they contain due to the processing limitations of standard desktop computers. This limitation can be addressed by utilizing the storage and processing capabilities of high-performance parallel computing environments. We present a parallel distributed-memory forward and inverse modeling algorithm for analyzing resistivity and time-domain induced polarization data. The primary components of the parallel computations include distributed computation of the pole solutions in forward mode, distributed storage and computation of the Jacobian matrix in inverse mode, and parallel execution of the inverse equation solver. We demonstrate the corresponding parallel code for three efforts: (1) resistivity characterization of the Hanford 300 Area Integrated Field Research Challenge site in Hanford, WA; (2) resistivity characterization of a volcanic island in the southern Tyrrhenian Sea in Italy; and (3) resistivity and IP monitoring of biostimulation at a superfund site in Brandywine, MD. Inverse analysis of each of these data sets would be limited (or impossible) in a standard serial computing environment which underscores the need for high-performance computing to fully utilize the potential of electrical geophysical methods in hydrogeophysical applications.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/990351},
  journal      = {Geophysics},

  issn         = {0016-8033},

  number       = 5,

  volume       = 75,

  place        = {United States},

  year         = {Wed Sep 01 00:00:00 EDT 2010},

  month        = {Wed Sep 01 00:00:00 EDT 2010}

}

Copy to clipboard

Journal Article:

Other availability

Find in Google Scholar

Search WorldCat to find libraries that may hold this journal

Save / Share:

Export Metadata

Save to My Library

Similar records in OSTI.GOV collections:

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

Journal Article Johnson, Timothy; Versteeg, Roelof; Ward, Andy; ... - Geophysics

Electrical geophysical methods have found wide use in the growing discipline of hydrogeophysics, both for characterizing the electrical properties of the subsurface, and for monitoring subsurface processes in terms of the spatiotemporal changes in subsurface conductivity, chargeability, and source currents they govern. Current multichannel and multielectrode data collections systems are able to collect large amounts of data in relatively short periods of time. However, practitioners are often unable to fully utilize these large data sets and the information they contain due to the processing limitations of standard desktop computers. This limitation can be addressed by utilizing the storage and processingmore »« less
https://doi.org/10.1190/1.3475513
Hydrogeophysics

Journal Article Vereecken, H; Hubbard, S; Binley, A; ... - Vadose Zone

The vadose zone is an extremely important zone that recharges our subsurface water resources and also serves as the repository for municipal, industrial and government waste. It acts as a buffer and filter for contaminants introduced by agricultural activities, and also serves as a reservoir for many agricultural crops. As safe and effective use of the vadose zone environment is a major challenge facing our society, there is a great need to improve our understanding of processes, their dynamics and their spatial and temporal patterns. With an increasing demand for investigation methods that have both high accuracy and high resolutionmore »« less
https://doi.org/10.2136/vzj2004.1060

Full Text Available
Geoelectrical Measurement of Multi-Scale Mass Transfer Parameters

Technical Report Day-Lewis, Frederick; Singha, Kamini; Haggerty, Roy; ...

Mass transfer affects contaminant transport and is thought to control the efficiency of aquifer remediation at a number of sites within the Department of Energy (DOE) complex. An improved understanding of mass transfer is critical to meeting the enormous scientific and engineering challenges currently facing DOE. Informed design of site remedies and long-term stewardship of radionuclide-contaminated sites will require new cost-effective laboratory and field techniques to measure the parameters controlling mass transfer spatially and across a range of scales. In this project, we sought to capitalize on the geophysical signatures of mass transfer. Previous numerical modeling and pilot-scale field experimentsmore »« less
https://doi.org/10.2172/1114652

Full Text Available
Deep learning to estimate permeability using geophysical data

Journal Article Mudunuru, Maruti; Cromwell, Erol; Wang, Hongsheng; ... - Advances in Water Resources

Time-lapse electrical resistivity tomography (ERT) is a popular geophysical method to estimate three-dimensional (3D) permeability fields from electrical potential difference measurements. Traditional inversion and data assimilation methods are used to ingest this ERT data into hydrogeophysical models to estimate permeability. Due to ill-posedness and the curse of dimensionality, existing inversion strategies provide poor estimates and low resolution of the 3D permeability field. Recent advances in deep learning provide us with powerful algorithms to overcome this challenge. This paper presents a deep learning (DL) framework to estimate the 3D subsurface permeability from time-lapse ERT data. To test the feasibility of themore »« less
https://doi.org/10.1016/j.advwatres.2022.104272

Full Text Available
Ground Penetrating Radar in Hydrogeophysics

Journal Article Hubbard, Susan; Lambot, S; Binley, A; ... - Vadose Zone Journal

To meet the needs of a growing population and to provide us with a higher quality of life, increasing pressures are being placed on our environment through the development of agriculture, industry, and infrastructures. Soil erosion, groundwater depletion, salinization, and pollution have been recognized for decades as major threats to ecosystems and human health. More recently, the progressive substitution of fossil fuels by biofuels for energy production and climate change have been recognized as potential threats to our water resources and sustained agricultural productivity. The vadose zone mediates many of the processes that govern water resources and quality, such asmore »« less
Full Text Available

Similar Records