Effect of Grain Irregularity on Rock Petrophysical Parameters: A Numerical Pore-level Study

dc.contributor.advisorKantzas, Apostolos K.
dc.contributor.authorRahmanian Shahri, Meysam
dc.contributor.committeememberAguilera, Roberto F.
dc.contributor.committeememberClarkson, Christopher R.
dc.date2018-11
dc.date.accessioned2018-05-17T21:16:50Z
dc.date.available2018-05-17T21:16:50Z
dc.date.issued2018-05-08
dc.description.abstractA good evaluation of transport properties in reservoir rocks plays a major role in the design of recovery process and prediction of recovery performance. Permeability, thermal and electrical conductivity, are important physical properties affecting fluid flow and fluid distribution. Numerical techniques based on image analysis can be considered as reliable alternative approaches to either experimental methods or empirical correlations to estimate petrophysical properties. There are various numerical approaches to directly simulate fluid flow through a virtual porous medium. For instance, Computational Fluid Dynamics (CFD) and Lattice-Boltzmann as dynamic methods, and pore morphological as quasi-static approaches are the most popular techniques to simulate flow through porous materials. A virtual porous medium can be provided by binarizing either the real CT scan images of porous media or even the synthetic images generated by statistical approaches. In this regard, the virtual porous media have to properly mimic the physical features of real sands. As providing real CT scan images with high-resolution of rock samples is expensive and time consuming, utilizing statistical approaches to generating synthetic porous media based on Particle Size Distribution (PSD) and porosity of real sands could be considered as an alternative to reconstruct virtual porous media. To generate a virtual porous medium statistically, an innovative algorithm is proposed in this research generating irregular grains based on a given porosity and particle size distribution (PSD). The proposed procedure is inspired from the crystallization concept. In this method, the shape, orientation and structure of the grains can be readily controlled by the user. This provides the opportunity to investigate the effect of some geometrical parameters such as grain irregularity on rock and flow properties. In this study, several virtual porous media with different porosities, sphericities and PSD are constructed using the proposed approach. Based on the simulation results on these media the effect of grain irregularity on transport properties and onset of non-Darcy flow is investigated.en_US
dc.identifier.citationRahmanian Shahri, M. (2018). Effect of Grain Irregularity on Rock Petrophysical Parameters: A Numerical Pore-level Study (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/31923en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/31923
dc.identifier.urihttp://hdl.handle.net/1880/106642
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.facultySchulich School of Engineering
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjecttransport properties
dc.subjectSimulation
dc.subjectgrain irregularity
dc.subjectpermeability
dc.subjectformation factor
dc.subjectporosity
dc.subjectnon-Darcy flow
dc.subjectcrystallization process
dc.subjectstatistical approach
dc.subject.classificationStatisticsen_US
dc.subject.classificationEngineering--Chemicalen_US
dc.subject.classificationEngineering--Petroleumen_US
dc.titleEffect of Grain Irregularity on Rock Petrophysical Parameters: A Numerical Pore-level Study
dc.typemaster thesis
thesis.degree.disciplineChemical and Petroleum Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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