NDLI: Quantitative integration of high-resolution hydrogeophysical data: A novel approach to Monte-Carlo-type conditional stochastic simulations and implications for hydrological predictions

Please wait, while we are loading the content...

Hammer-impact SH-wave seismic reflection methods in neotectonic investigations: General observations and case histories from the Mississippi Embayment, U.S.A.

Exploiting lateral resolution of near-surface seismic refraction methods

Applications of engineering seismology for site characterization

Three-dimensional modeling of shallow shear-wave velocities for Las Vegas, Nevada, using sediment type

High-frequency Rayleigh-Wave method

Quantitative integration of high-resolution hydrogeophysical data: A novel approach to Monte-Carlo-type conditional stochastic simulations and implications for hydrological predictions

Improvements in inversion of magnetic resonance exploration—Water content, decay time, and resistivity

Apparent formation factor for leachate-saturated waste and sediments: Examples from the USA and China

Early analogue modeling experiments and related studies to today’s problems of geo-electromagnetic exploration

Advances in microgeophysics for engineering and cultural heritage

Land 3D-seismic data: Preprocessing quality control utilizing survey design specifications, noise properties, normal moveout, first breaks, and offset

Journal of Earth Science : Volume 20, Issue 2, April 2009

Journal of Earth Science : Volume 20, Issue 1, February 2009

Quantitative integration of high-resolution hydrogeophysical data: A novel approach to Monte-Carlo-type conditional stochastic simulations and implications for hydrological predictions

Content Provider	Springer Nature Link
Author	Dafflon, Baptiste Irving, James Holliger, Klaus
Copyright Year	2009
Abstract	Geophysical techniques can help to bridge the inherent gap that exists with regard to spatial resolution and coverage for classical hydrological methods. This has led to the emergence of a new and rapidly growing research domain generally referred to as hydrogeophysics. Given the differing sensitivities of various geophysical techniques to hydrologically relevant parameters, their inherent trade-off between resolution and range, as well as the notoriously site-specific nature of petrophysical parameter relations, the fundamental usefulness of multi-method surveys for reducing uncertainties in data analysis and interpretation is widely accepted. A major challenge arising from such endeavors is the quantitative integration of the resulting vast and diverse database into a unified model of the probed subsurface region that is consistent with all available measurements. To this end, we present a novel approach toward hydrogeophysical data integration based on a Monte-Carlo-type conditional stochastic simulation method that we consider to be particularly suitable for high-resolution local-scale studies. Monte Carlo techniques are flexible and versatile, allowing for accounting for a wide variety of data and constraints of differing resolution and hardness, and thus have the potential of providing, in a geostatistical sense, realistic models of the pertinent target parameter distributions. Compared to more conventional approaches, such as co-kriging or cluster analysis, our approach provides significant advancements in the way that larger-scale structural information contained in the hydrogeophysical data can be accounted for. After outlining the methodological background of our algorithm, we present the results of its application to the integration of porosity log and tomographic crosshole georadar data to generate stochastic realizations of the detailed local-scale porosity structure. Our procedure is first tested on pertinent synthetic data and then applied to a field dataset collected at the Boise Hydrogeophysical Research Site. Finally, we compare the performance of our data integration approach to that of more conventional methods with regard to the prediction of flow and transport phenomena in highly heterogeneous media and discuss the implications arising.
Starting Page	580
Ending Page	591
Page Count	12
File Format	PDF
ISSN	1674487X
Journal	Journal of Earth Science
Volume Number	20
Issue Number	3
e-ISSN	1867111X
Language	English
Publisher	China University of Geosciences (Wuhan)
Publisher Date	2009-06-23
Publisher Place	China University of Geosciences (Wuhan)
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	aquifer characterization conditional simulation geostatistics hydrogeophysics hydrology quantitative data integration Monte Carlo methods simulated annealing flow and transport modeling Geology Geochemistry Computer Applications in Earth Sciences Biogeosciences Applied Earth Sciences Earth Sciences
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Quantitative integration of high-resolution hydrogeophysical data: A novel approach to Monte-Carlo-type conditional stochastic simulations and implications for hydrological predictions

Field characterization and data integration to define the hydraulic heterogeneity of a shallow granular aquifer at a sub-watershed scale

Assessment of alluvial aquifer heterogeneity and development of stochastic hydrofacies models for the Hat Yai Basin in Southern Thailand

Use of hydrogeophysical data to determine the role of faults in the geometry of the Barreiras Aquifer, Brazil

Annealing Stochastic Approximation Monte Carlo for Global Optimization

The multiplicative inverse misfit correlation approach for depth correlation of porosity in reservoir modeling

Hydrogeophysical imaging of alluvial aquifers: electrostratigraphic units in the quaternary Po alluvial plain (Italy)

Quantitative Integration of Hydrogeophysical and Hydrological Data: Geostatistical Approaches

Simulated effects of aquifer heterogeneity on ASR system performance

Quantitative integration of high-resolution hydrogeophysical data: A novel approach to Monte-Carlo-type conditional stochastic simulations and implications for hydrological predictions

Similar Documents

Quantitative integration of high-resolution hydrogeophysical data: A novel approach to Monte-Carlo-type conditional stochastic simulations and implications for hydrological predictions

Field characterization and data integration to define the hydraulic heterogeneity of a shallow granular aquifer at a sub-watershed scale

Assessment of alluvial aquifer heterogeneity and development of stochastic hydrofacies models for the Hat Yai Basin in Southern Thailand

Use of hydrogeophysical data to determine the role of faults in the geometry of the Barreiras Aquifer, Brazil

Annealing Stochastic Approximation Monte Carlo for Global Optimization

The multiplicative inverse misfit correlation approach for depth correlation of porosity in reservoir modeling

Hydrogeophysical imaging of alluvial aquifers: electrostratigraphic units in the quaternary Po alluvial plain (Italy)

Quantitative Integration of Hydrogeophysical and Hydrological Data: Geostatistical Approaches

Simulated effects of aquifer heterogeneity on ASR system performance

Quantitative integration of high-resolution hydrogeophysical data: A novel approach to Monte-Carlo-type conditional stochastic simulations and implications for hydrological predictions