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dc.contributor.authorPatino-Ramirez, Fernando
dc.contributor.authorArson, Chloé
dc.date.accessioned2017-05-17T19:42:56Z
dc.date.available2017-05-17T19:42:56Z
dc.date.issued2017-06
dc.identifier.citationF. Patino-Ramirez & C. Arson (2017). Bio-Inspired Fluid Extraction Model for Reservoir Rocks. 51st US Rock Mechanics/Geomechanics Symposium of the American Rock Mechanics Association (ARMA), San Francisco, CA, June 25-28 2017, Paper 17-0515.en_US
dc.identifier.urihttp://hdl.handle.net/1853/58103
dc.descriptionCopyright © 2017 by the American Rock Mechanics Association.en_US
dc.descriptionARMA 17-515en_US
dc.description.abstractBiological and engineering flow systems maximize their efficiency by following the path of minimum energy over the domain they are embedded in. This fact motivates the present research, since industrial fluid extraction and injection processes are designed to minimize the implementation cost (energy, materials) and maximize the volume of fluid injected (or withdrawn). This work presents a bio-inspired fluid flow model to optimize the path that connects resource-rich pores in a rock. We explain the commonalities between the equations governing flow in a porous medium and growth of slime mold, an organism that dynamically deploys tube-like structures and adapts them as a function of their contribution to the overall network. We perform several simulations to analyze the influence of the pore size distribution and of pore spatial distribution on the topology of the extraction network predicted by the slime mold growth algorithm. We discuss the suitability of the biomimicry model to design fracture patterns for optimal fluid extraction from a porous rock.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectFluid extractionen_US
dc.subjectPoresen_US
dc.subjectRock massen_US
dc.subjectSlime molden_US
dc.titleBio-Inspired Fluid Extraction Model for Reservoir Rocksen_US
dc.typePost-printen_US
dc.typeProceedingsen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Civil and Environmental Engineeringen_US


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