H14A:
Advances in Petrophysics for Hydrogeophysics and Near Surface Geophysics II


Session ID#: 10642

Session Description:
Geophysical methods used in hydrogeophysics and near surface geophysics have great potential for characterizing subsurface properties and processes to inform hydrological, geological, and biogeochemical studies. However, geophysical methods only provide indirect information about subsurface properties and processes of interest (e.g. for subsurface flow and transport). The link between geophysical properties (e.g. electrical conductivity) and the variables of interest (e.g. water content) requires petrophysical relationships. The increasing use of geophysics for mapping complex environments and time-lapse monitoring necessitates that these relationships be accurate and efficient such that geophysical data can be correctly interpreted and/or included in fully coupled inversions. Establishing petrophysical relationships is inherently multidisciplinary as such models are influenced by pore-scale interfacial biogeochemical and geometric properties and require upscaling. This session seeks theoretical developments, laboratory studies for experimental validation, and field studies that demonstrate the correct use of novel and established petrophysical relationships for hydrogeophysical and near surface applications.
Primary Convener:  Damien Jougnot, Sorbonne Universite, UMR 7619 METIS, Paris, France
Convener:  Kristina Keating, Rutgers University Newark, Earth and Environmental Sciences, Newark, NJ, United States
Chairs:  Damien Jougnot, Sorbonne Universite, UMR 7619 METIS, Paris, France and Kristina Keating, Rutgers University Newark, Earth and Environmental Sciences, Newark, NJ, United States
OSPA Liaison:  Kristina Keating, Rutgers University Newark, Earth and Environmental Sciences, Newark, NJ, United States

Cross-Listed:
  • NS - Near Surface Geophysics
Index Terms:

Abstracts Submitted to this Session:

Philippe Leroy, BRGM, Orleans, France, Andre Revil, Colorado School of Mines, Golden, CO, United States; Université de Savoie, ISTerre, CNRS, Le Bourget du Lac, France, Damien Jougnot, Sorbonne Universite, UMR 7619 METIS, Paris, France and Shuai Li, Organization Not Listed, Washington, DC, United States
Qifei Niu1, Andre Revil2, Milad Saidian2 and Manika Prasad3, (1)University of Kansas, Lawrence, KS, United States, (2)Colorado School of Mines, Golden, CO, United States, (3)Colorado School of Mines, Department of Geophysics, Golden, CO, United States
Gordon K Osterman, USDA ARS, Geophysics, Stanford, United States, Kristina Keating, Rutgers University Newark, Earth and Environmental Sciences, Newark, NJ, United States, Andrew M. Binley, University of Lancaster, Lancaster, United Kingdom and Lee D Slater, Rutgers University, Department of Earth & Environmental Sciences, Newark, NJ, United States
John R Nimmo and Kimberlie S Perkins, USGS National Research Program, Menlo Park, CA, United States
Toshiki Iwasaki1, Hirotaka Saito1 and Seiichiro Kuroda2, (1)Tokyo University of Agriculture and Technology, Tokyo, Japan, (2)Natl. Inst. for Rural Eng., Tsukuba Ibaraki, Japan
Ludovic Bodet1, Sylvain Pasquet1, Paolo Bergamo2, Roland Martin3, Regis Mourgues4 and Vincent Tournat4, (1)University Pierre and Marie Curie Paris VI, Paris, France, (2)Queens University Belfast, Northern Ireland, United Kingdom, (3)GET Géosciences Environnement Toulouse, Toulouse, France, (4)Université du Maine, Le Mans, France
Judy Robinson1, Lee D Slater2, Kristina Keating3, Beth L Parker4, Carla Rose5, Jessica R Meyer5, Carole D Johnson6, Tonian Robinson1, Peeter Pehme5, Steven Chapman5 and Frederick David Day-Lewis7, (1)Rutgers Univ, Newark, NJ, United States, (2)Rutgers University, Department of Earth & Environmental Sciences, Newark, United States, (3)Rutgers University Newark, Earth and Environmental Sciences, Newark, NJ, United States, (4)University of Guelph, School of Engineering, Guelph, ON, Canada, (5)University of Guelph, Guelph, ON, Canada, (6)USGS Hydrologic Remote Sensing Branch, Storrs, United States, (7)USGS, Storrs, CT, United States

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