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مخازن شکافدار مدلسازی شبکه شکاف گسسته discrete fracture network

NFR-1

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مخازن شکافدار مدلسازی شبکه شکاف گسسته discrete fracture network

اسلاید 1: Investigation of the modeling of fractured reservoirs by DFN methodClass Seminar: fractured reservoir student: Sevda SaediEmail: sevdasaedi@ut.ac.irSupervisor :Dr.Mirispring 13981

اسلاید 2: introductionFracture characterization Field data sourcesTable of Content 2Fracture data analysisDiscrete fracture modelReferences

اسلاید 3: 3introductionCarbonate reservoir oil 60% gas 40%Oil shale Gas shaleFig 1: carbonate reservoir distribution

اسلاید 4: 44introductionWhat is fracture?Necessity for Modeling Natural Fractures?Necessity for Discrete Fracture Network Models?

اسلاید 5: 5Fracture Characteristics: Location, Orientation and SizeFracture ApertureFracture DensityFracture Permeability, Connectivity and Porosity 5معرفیFra.characterization

اسلاید 6: 66Fra.characterization thickness :Aperture coordinates of center : x, y, zOrientation: Dip and Azimuth radius :RadFig 2: 3D fracture[4]

اسلاید 7: 77Fra.characterization Fig 3: fracture[14] Fig 4: fracture plane morphology[14]

اسلاید 8: 88Fra.characterization

اسلاید 9: 99Fra.characterization Fig 5: 3D fracture[31]

اسلاید 10: 10SeismologyOutcrop AnalysisConventional Logging Measurements Core DescriptionsDrilling Data Flow and Pressure TestsProduction Data10Field data sources

اسلاید 11: 1111معرفیField data sourcesFig 6: Showing 3 faults in seismic map[4]Fig 7 : Outcrop of joints in the limb of a non-cylindrical fold in Lavernock Point[4]

اسلاید 12: 1212معرفیField data sourcesFig 8: Core samples in well A, Palm Valley NFR: open fractures of high dip and large aperture.Fig 9: FMS fracture interpretation in well E, Palm Valley NFR[4]

اسلاید 13: 1313Field data sourcesData sources Fracture parameters Scale/coverage of investigation Seismic Orientation Fracture sizeFracture densityFracture perm and connectivity Regional OutcropsOrientationFracture sizeFracture densityFracture perm and connectivity Local and Regional Conventional logsOrientationFracture sizeFracture porosityFracture perm and connectivityWellbore Core OrientationFracture sizeFracture densityFracture perm and connectivityWellboreWell production testingFracture sizeFracture densityFracture perm and connectivityWellboreTable 1: data sources as tools for fracture detection: scales, response characteristics[4]

اسلاید 14: 1414Fracture data analysis

اسلاید 15: 15Statistical analysisFracture Orientation probability distribution function : normal – uniform - von Mises- circularFracture Size Multifractal Geometry15Frac.data analysis

اسلاید 16: 16Statistical analysisFracture Orientation 16معرفیFrac.data analysisFig 10: Orientation data available a section of well F, Palm Valley NFR[4]Fig 11: Left: one fracture set, right two fracture set[28]𝑈= 0 𝑥 𝑓 𝛳 𝑑𝛳= 1 2 ( 𝑒 𝑘 − 𝑒 𝑘𝑐𝑜𝑠(𝑘) )𝐶𝑠𝑐ℎ(𝑘) 𝑥=𝐴𝑟𝑐𝐶𝑜𝑠[ 𝐿𝑜𝑔[ 𝑒 𝑘 −2𝑈𝑆𝑖𝑛ℎ 𝑘 ] 𝑘 ]

اسلاید 17: 17Statistical analysisFracture Size Multifractal Geometry 17معرفیFrac.data analysisFig 12:Box-counting method for a natural fracture system[4].Fig 13: logarithmic plots for estimation of fractal dimension [4].N(l) = C l D

اسلاید 18: 18Spatial analyses using geostatistics Fracture location distributionpoisson distribution parent-daughter modelGeostatistical analyses semivariogram - variogram – Kriging Fracture density distribution ANN- fuzzy logic 18Frac.data analysis

اسلاید 19: 1919Frac.data analysisFig 14: Procedure for the NFR characterization - from raw data to statistics and behaviors of the DFN.[4]

اسلاید 20: 2020 DFN modeling Discrete fracture model:simulate individual fracture propertiespredict fluid flow behavior from knowledge of fracture geometry and conductivitydeterministic – stochastic - integrated

اسلاید 21: 2121 DFN modeling Fig.15: Overall methodology for NFR characterisation and modelling[4]

اسلاید 22: 2222 DFN modeling Fig 17: 3D fracture network (disk showing)[27]Fig 16:fractal model of fracture network[27].Fig 18: Major faults in Palm Valley NFR

اسلاید 23: 2323References1 Application of fracture network model with crack permeability tensor on flow and transport in fractured rock )Jian-Bang Pan, Chen-Chang Lee, Cheng-Haw Lee ⁎, Hsin-Fu Yeh, Hung-I Lin(2- D fracture modeling integrating geomechanics and geologic data.)Laetitia Mace)3-Discrete fracture network approach for studying contamination in fractured rock)Beth L. Parker, John A. Cherry and Steven W. Chapman(.4- Characterisation and modeling of naturally fractured reservoirs)Nam Hong Tran(-5 Discrete fracture network modeling for a carbonate reservoir)Adlet S. Jambayev( 6- Permeability tensor for discontinuous rock masses)M. Oda)7-An interactive 3-D fracture modelling environment) Swaby, P.A. and Rawnsley, K.D. (1996)(.

اسلاید 24: 2424References8- Nested geological modelling Of naturally fractured reservoirs. )Cacas, M.C., Daniel, J.M(9- Integrated fractured reservoir characterisation using neural networks and fuzzy logic)Zellou, M(-10Generation of a realistic discrete fracture network model using deterministic Input data derived from 3D multicomponent seismic amplitude data)Simon Emsley*, Shihong Chi, Jim Hallin (11-deterministic versus stochastic discrete fracture network(DFN) modellingTapplication in a heterogeneous naturally fractured reservoir12-Potential utilizations of 3D printed Fracture network model(Anna Suzuki1,2, Kewen, Li)13-Three dimensional modeling of fractures in rock (Kevin Hestir, Jean-Paul Chiles,l Jane Long)-14Fractured porous media(Pierre M.Adler,Jean-Franc)

اسلاید 25: 2525References15- Modelling Fracture Flow With A Stochastic Discrete Fracture Network(Cacas et al. (1990))16- Geometry and topology of fracture) Huseby, O., Thovert, J.-F., and Adler, P.M.(1997) (-17numerical and stochastic models of flow in 3D discrete fracture networks(J-R. de Dreuzy 1, J. Erhel 2)18-Flow simulation in three dimentinal discrete fracture network(Jocelyne Erhel) 19-http://www.statisticshowto.com/unimodal-distribution-2/20- تحلیل فضایی گردشگری با استفاده از مدلهای ترکیبی در محیط )سید یاسر حکیم دوست(21- http://girps.net/interpolation-kriging-in-arcgis/

اسلاید 26: 2626References22 - مشخصات نویسندگان مقاله تخمین تخلخل مؤثر و تراوایی به روش منطق فازی در مخزن آسماری،یکی از میادین نفتی خلیج فارس)مریم ارغا(23- Finite element generation of arbitrary 3-D fracture networks for flown analysis in complicated discrete fracture networks(Qi-Hua Zhang )24-A three dimensional stochastic fracture network model for geothermal reservoir (Xiaonan Wang, Ahmad Ghassemi)25-Deterministic versus stochastic discrete fracture network moelling application in heterogeneous NFR(Meyssam tavakkoli)26-Three dimentional modeling of fractures in rock(Kevin Hestir, Jean-Paul Chiles,l Jane Long, and Daniel Billaux2)-27 Flow and transport in porous media and fractured rock)Muhammad Sahimi(28- Microseismicity-constrained discrete fracture network models for stimulated reservoir simulation (Sherilyn Williams-Stroud1, Chet Ozgen2)29- Fracture network modeling of Hijiori hot dry rock reservoir by deterministic and stochastic crack network simulator(D/SC)( Kazuhiko Tezuka1 and Kimio Watanabe2)30- Fractal and geostatistical methods for modeling of a fracture network I(J. P. Chil)

اسلاید 27: 2727Thanks for your attentio

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