We investigate the physics, chemistry, and techno-economics of CO2 storage underground

Our research includes exploring fundamental pore scale fluid dynamics, developing digital rocks analysis techniques, increasing the accuracy of field scale reservoir simulation, and evaluating the feasibility of scaling up CO2 storage to climate relevant scales.

Our Research Projects

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StrataTrapper Advanced Modelling of CO2 Migration and Trapping

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THMC4CCS: ThorougH experiMental and numerical investigation of Coupled processes for geologiC Carbon ‎Storage

Royal Academy of Engineering Senior Research Fellowship

ExpReCCS: Expansion of ResourCes for CO2 Storage on the Horda Platform

inFUSE Prosperity Partnership

Shell Digital Rocks Laboratory

Citation

BibTex format

@article{Franchini:2020:10.1007/s00348-020-02968-w,
author = {Franchini, S and Krevor, S},
doi = {10.1007/s00348-020-02968-w},
journal = {EXPERIMENTS IN FLUIDS},
title = {Cut, overlap and locate: a deep learning approach for the 3D localization of particles in astigmatic optical setups},
url = {http://dx.doi.org/10.1007/s00348-020-02968-w},
volume = {61},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AU  - Franchini,S
AU  - Krevor,S
DO  - 10.1007/s00348-020-02968-w
PY  - 2020///
SN  - 0723-4864
TI  - Cut, overlap and locate: a deep learning approach for the 3D localization of particles in astigmatic optical setups
T2  - EXPERIMENTS IN FLUIDS
UR  - http://dx.doi.org/10.1007/s00348-020-02968-w
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000538056800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL  - 61
ER  -
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