EGU General Assembly, 7–12 April 2019 call for contribution (deadline 10 January 2019, 13:00 CET)

Post date: Dec 16, 2018 4:30:28 PM


Advances in petrophysics and rock-physics: integrating models, laboratory experiments and field studies

Convener: Damien Jougnot

Co-Conveners: Ludovic Bodet, Lucas Pimienta

Geophysical methods have a great potential for characterizing subsurface 

properties and processes to inform geological, reservoir, hydrological, 

and biogeochemical studies. In these contexts, the classically used 

geophysical tools only provide indirect information about subsurface 

heterogeneities, reservoir rocks characteristics, and associated 

processes (e.g. flow, transport, biogeochemical reactions). 

Petrophysical relationships hence have to be developed to provide links 

between physical properties (e.g. electrical conductivity, seismic 

velocity or attenuation) and the intrinsic parameters of interest (e.g. 

fluid content, hydraulic properties). In addition, geophysical methods 

are increasingly deployed as time-lapse, or even continuous, and 

distributed monitoring tools on more and more complex environments. Here 

again, there is a great need for accurate and efficient physical 

relationships such that geophysical data can be correctly interpreted 

(e.g. included in fully coupled inversions). Establishing such models 

requires multidisciplinary approaches since involved theoretical 

frameworks differ. Each physical property has its intrinsic dependence 

to pore-scale interfacial, geometrical, and biogeochemical properties or 

to external condition (such as pressure or temperature). Each associated 

geophysical method has its specific investigation depth and spatial 

resolution which adds a significant level of complexity in combining and 

scaling theoretical developments with laboratory studies/validations 

and/or with field experiments. This session consequently invites 

contributions from various communities to share their models, their 

experiments, or their field tests and data in order to discuss about 

multidisciplinary ways to improve our knowledge on reservoir and near 

surface environment.