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3D/4D Geological Modeling for Mineral Exploration / / edited by Gongwen Wang, Lizhen Cheng, Nan Li
3D/4D Geological Modeling for Mineral Exploration / / edited by Gongwen Wang, Lizhen Cheng, Nan Li
Pubbl/distr/stampa Hershey, PA : , : IGI Global, , 2023
Descrizione fisica 1 online resource (242 pages)
Disciplina 550.113
Soggetto topico Geological modeling
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910729781303321
Hershey, PA : , : IGI Global, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Deep-water processes and facies models : implications for sandstone petroleum reservoirs / / G. Shanmugam
Deep-water processes and facies models : implications for sandstone petroleum reservoirs / / G. Shanmugam
Autore Shanmugam G. <1944->
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; Oxford, : Elsevier, 2006
Descrizione fisica 1 online resource (496 p.)
Disciplina 551.303015118
Collana Handbook of petroleum exploration and production
Soggetto topico Sedimentation and deposition
Sedimentation and deposition - Mathematical models
Marine sediments
Geological modeling
Petroleum - Geology
ISBN 1-280-64178-9
9786610641789
0-08-045842-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Contents; Acknowledgements; Preface; Introduction and process sedimentology; Introduction; Process sedimentology; Synopsis; History of deep-water research (1885Ò2005); Introduction; History; Scientific revolutions; A Philosophical retrospective; Gravity-driven processes; Introduction; Mass-transport processes; Sediment flows; Synopsis; Deep-water bottom currents; Introduction; Bottom currents; Thermohaline-induced geostrophic bottom currents; Wind-driven bottom currents; Deep-marine tidal bottom currents in submarine canyons; Synopsis; Other processes and the phenomena of tsunamis
IntroductionLiquidization; Clastic injections; Mud diapirism; Sediment plumes, wind transport, ice rafting, nepheloid layers, and volcanism; Pelagic and hemipelagic settling; The phenomena of tsunamis; Synopsis; Depositional environments; Introduction; Deep-lacustrine environments; Submarine slope environments; Submarine canyon and gully environments; Submarine fan environments; Submarine non-fan environments; Submarine basin-plain environments; Synopsis; Process-related problems; Introduction; Conflicting definitions of turbidity currents; Conflicting definitions of turbidites
Conflicting definitions of high-density turbidity currentsUnknowable flow transformations; Conflicting definitions of slurry flows; Conflicting origins of flute structures; Conflicting definitions of normal grading; Problematic origin of traction structures; Problematic origin of mud waves; Problematic subaerial analogs; Problematic origin of sinuous forms; Problematic hyperpycnal flows; Conflicting origins of massive sands; Conflicting definitions of turbidite systems; Inadequate seismic resolution; Synopsis; The turbidite facies model; Introduction; The turbidite facies model
The Annot SandstoneBasal sedimentary features; Upper Înormally gradedÌ intervals; Origin of inverse to normally graded intervals; Inadequacy of the turbidite facies model; Problems with other facies models; Synopsis; Submarine fan models; Introduction; Modern-fan model; Ancient-fan model; General-fan model; Turbidite facies association; The Jackfork Group and the turbidite controversy; The impermanence of submarine fan models; Synopsis; Sequence-stratigraphic fan models; Introduction; Basin-floor fans and slope fans; Seismic geometries; Wireline-log motifs; Parasequence concept
Abandonment of submarine fan modelsSynopsis; Tectonic and eustatic controls; Introduction; Tectonic control; Eustatic control; Synopsis; Implications for sandstone petroleum reservoirs; Introduction; Grain-size distribution; Spatial distribution of sand; Dimensions and geometries; Lateral changes in sediment thickness; Reservoir heterogeneity; Sand injection and reservoir communication; Correlation of sandbodies; Depositional mud matrix; Reservoir quality; Depositional models; Epilogue; References; Index; About the Author
Record Nr. UNINA-9911006653903321
Shanmugam G. <1944->  
Amsterdam ; ; Oxford, : Elsevier, 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
GeoFlorida 2010 [[electronic resource] ] : advances in analysis, modeling & design / / sponsored by the Geo-Institute of the American Society of Civil Engineers ; edited by Dante Fratta, Anand J. Puppala, Balasingam Muhunthan
GeoFlorida 2010 [[electronic resource] ] : advances in analysis, modeling & design / / sponsored by the Geo-Institute of the American Society of Civil Engineers ; edited by Dante Fratta, Anand J. Puppala, Balasingam Muhunthan
Pubbl/distr/stampa Reston, Va., : ASCE, 2010
Descrizione fisica 1 online resource (3353 p.)
Disciplina 624.151
Altri autori (Persone) FrattaDante
PuppalaAnand J
MuhunthanBalasingam
Collana Geotechnical special publication
Soggetto topico Engineering geology
Geological modeling
Soil mechanics
Soggetto genere / forma Electronic books.
ISBN 0-7844-7335-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ""Cover""; ""Table of Contents""; ""Keynote Lectures""; ""Prediction in Geoenvironmental Engineering: Recommendations for Reliable Predictive Modeling""; ""Reliability-Based Geotechnical Engineering""; ""Dynamic Analysis of Free-Falling Penetrometers in Soil Deposits""; ""Application of Numerical Analysis in Geotechnical Engineering Practice""; ""Geotechnical Modeling""; ""Modeling and Design of Geoenvironmental Systems""; ""Parameters Controlling Strength of Coal Fly Ash�Lime Improved Soil""; ""Using WiscLEACH to Estimate Groundwater Impacts from Fly Ash Stabilized Layers in Roadways""
""Novel Implicit Automated Time Stepping Algorithm for Contaminant Transport through Soil""""Advances in Computational Limit State Analysis and Design""; ""State-of-the-Art: Consolidation-Induced Contaminant Transport for High Water Content Geo-Materials""; ""Modeling of Geotechnical Engineering Systems""; ""A Coupled Damage and Plasticity Drucker-Prager Model Based on Thermodynamics of Internal Variables""; ""Nonlinear Analysis for a Single Vertical Drain Including the Effects of Preloading Considering the Compressibility and Permeability of the Soil""
""Multi-Physical Simulation of Freezing Unsaturated Soil""""Limit Equilibrium of 2D and 3D Nonhomogeneous Loaded Ground Masses""; ""A Comparison of Numerical Algorithms in the Analysis of Pile Reinforced Slopes""; ""Numerical Study of Effect of Encasement on Stone Column Performance""; ""Development of Performance Upgrade Technique of Existing Rockfall Protection Fence""; ""Modeling Soil-Pile Interaction under Axial Loading Using a Bilinear Mohr-Coulomb Based Model""; ""Numerical Modeling of Discontinuous Rock Masses""
""Fracture and Fragmentation of Rock Subjected to Uniaxial Cyclical Loading""""Rock Catchment Area Design Charts""; ""Load Transfer to Micro Pile Rock Socket""; ""Evaluating Ground Settlement above a Mined Area""; ""Rock Slope Stability Modeling""; ""Prediction of Side Resistance in Poor Quality Rock: RQD vs. GSI""; ""Slope Stability with Permanent Rock Anchors""; ""Stability Analysis of Vertical Boreholes Using a Three-Dimensional Hoek-Brown Strength Criterion""; ""Simulation of Pore-Scale Fluid Flow through Glass Beads Using Lattice Boltzmann Method""
""Unsaturated Soil Modeling in Engineering Practice""""Analysis of Engineering Properties of Red Clay during Drying Process""; ""Shear Strength of Unsaturated Soil-Geotextile Interfaces""; ""Tidal Influence on Embankment Settlement in Coastal Louisiana""; ""Dynamic Capillary Effect and Its Impact on the Residual Water Content in Unsaturated Soils""; ""Characterization of Unusual Ground Fissuring in a Dry Lakebed�Broadwell Basin, San Bernardino County, California""; ""Performance of Reinforced Collapsible Soil""
""Unsaturated Hydraulic Conductivity of Compacted Lateritic Soil Treated with Bagasse Ash""
Record Nr. UNINA-9910456225303321
Reston, Va., : ASCE, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Geological modelling of hydrocarbon reservoirs and outcrop analogues / / edited by Stephen S. Flint and Ian D. Bryant
The Geological modelling of hydrocarbon reservoirs and outcrop analogues / / edited by Stephen S. Flint and Ian D. Bryant
Pubbl/distr/stampa Oxford, [England] : , : Blackwell Scientific Publications, , 1993
Descrizione fisica 1 online resource (311 p.)
Disciplina 551.3
Collana Special Publication Number 15 of the International Association of Sedimentologists
Soggetto topico Hydrocarbon reservoirs
Geological modeling
Soggetto genere / forma Electronic books.
ISBN 1-282-17173-9
9786612171734
1-4443-0395-3
1-4443-0396-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Geological Modelling of Hydrocarbon Reservoirs and Outcrop Analogues; Contents; Preface; Quantitative Data Collection; Quantitative clastic reservoir geological modelling: problems and perspectives; Alluvial architecture in a sequence stratigraphic framework: a case history from the Upper Cretaceous of southern Utah, USA; Sedimentary architecture of field analogues for reservoir information (SAFARI): a case study of the fluvial Escanilla Formation, Spanish Pyrenees; Quantitative facies analysis of coal-bearing sequences in the Bowen Basin, Australia: applications to reservoir description
Quantification of turbidite facies in a reservoir-analogous submarine-fan channel sandbody, south-central Pyrenees, SpainOutcrop studies of shale smears on fault surface; Applications of the formation micro-scanner to modelling of Palaeozoic reservoirs in Oman; Predicting reservoir sandbody orientation from dipmeter data: the use of sedimentary dip profiles from outcrop studies; Permeability patterns in point bar deposits: Tertiary Loranca Basin, central Spain C.A. Hartkamp-Bakker & M.E. Donselaar
Knowledge base development for the estimation of reservoir rock properties in the interwell area: examples from the Texas Gulf coastThe use of 3-D seismic in reservoir geological modelling; Modelling Methods; Sedimentary flow units in hydrocarbon reservoirs: some shortcomings and a case for high-resolution permeability data; The use of length distributions in geological modelling; A theoretical study of fluvial sandstone body dimensions; Stochastic modelling of fluvial sandstone bodies; A 3-D modelling approach for providing a complex reservoir description for reservoir simulations; Index
Record Nr. UNINA-9910143127003321
Oxford, [England] : , : Blackwell Scientific Publications, , 1993
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Geological modelling of hydrocarbon reservoirs and outcrop analogues / / edited by Stephen S. Flint and Ian D. Bryant
The Geological modelling of hydrocarbon reservoirs and outcrop analogues / / edited by Stephen S. Flint and Ian D. Bryant
Pubbl/distr/stampa Oxford, [England] : , : Blackwell Scientific Publications, , 1993
Descrizione fisica 1 online resource (311 p.)
Disciplina 551.3
Collana Special Publication Number 15 of the International Association of Sedimentologists
Soggetto topico Hydrocarbon reservoirs
Geological modeling
ISBN 1-282-17173-9
9786612171734
1-4443-0395-3
1-4443-0396-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Geological Modelling of Hydrocarbon Reservoirs and Outcrop Analogues; Contents; Preface; Quantitative Data Collection; Quantitative clastic reservoir geological modelling: problems and perspectives; Alluvial architecture in a sequence stratigraphic framework: a case history from the Upper Cretaceous of southern Utah, USA; Sedimentary architecture of field analogues for reservoir information (SAFARI): a case study of the fluvial Escanilla Formation, Spanish Pyrenees; Quantitative facies analysis of coal-bearing sequences in the Bowen Basin, Australia: applications to reservoir description
Quantification of turbidite facies in a reservoir-analogous submarine-fan channel sandbody, south-central Pyrenees, SpainOutcrop studies of shale smears on fault surface; Applications of the formation micro-scanner to modelling of Palaeozoic reservoirs in Oman; Predicting reservoir sandbody orientation from dipmeter data: the use of sedimentary dip profiles from outcrop studies; Permeability patterns in point bar deposits: Tertiary Loranca Basin, central Spain C.A. Hartkamp-Bakker & M.E. Donselaar
Knowledge base development for the estimation of reservoir rock properties in the interwell area: examples from the Texas Gulf coastThe use of 3-D seismic in reservoir geological modelling; Modelling Methods; Sedimentary flow units in hydrocarbon reservoirs: some shortcomings and a case for high-resolution permeability data; The use of length distributions in geological modelling; A theoretical study of fluvial sandstone body dimensions; Stochastic modelling of fluvial sandstone bodies; A 3-D modelling approach for providing a complex reservoir description for reservoir simulations; Index
Record Nr. UNISA-996202005203316
Oxford, [England] : , : Blackwell Scientific Publications, , 1993
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The Geological modelling of hydrocarbon reservoirs and outcrop analogues / / edited by Stephen S. Flint and Ian D. Bryant
The Geological modelling of hydrocarbon reservoirs and outcrop analogues / / edited by Stephen S. Flint and Ian D. Bryant
Pubbl/distr/stampa Oxford, [England] : , : Blackwell Scientific Publications, , 1993
Descrizione fisica 1 online resource (311 p.)
Disciplina 551.3
Collana Special Publication Number 15 of the International Association of Sedimentologists
Soggetto topico Hydrocarbon reservoirs
Geological modeling
ISBN 1-282-17173-9
9786612171734
1-4443-0395-3
1-4443-0396-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Geological Modelling of Hydrocarbon Reservoirs and Outcrop Analogues; Contents; Preface; Quantitative Data Collection; Quantitative clastic reservoir geological modelling: problems and perspectives; Alluvial architecture in a sequence stratigraphic framework: a case history from the Upper Cretaceous of southern Utah, USA; Sedimentary architecture of field analogues for reservoir information (SAFARI): a case study of the fluvial Escanilla Formation, Spanish Pyrenees; Quantitative facies analysis of coal-bearing sequences in the Bowen Basin, Australia: applications to reservoir description
Quantification of turbidite facies in a reservoir-analogous submarine-fan channel sandbody, south-central Pyrenees, SpainOutcrop studies of shale smears on fault surface; Applications of the formation micro-scanner to modelling of Palaeozoic reservoirs in Oman; Predicting reservoir sandbody orientation from dipmeter data: the use of sedimentary dip profiles from outcrop studies; Permeability patterns in point bar deposits: Tertiary Loranca Basin, central Spain C.A. Hartkamp-Bakker & M.E. Donselaar
Knowledge base development for the estimation of reservoir rock properties in the interwell area: examples from the Texas Gulf coastThe use of 3-D seismic in reservoir geological modelling; Modelling Methods; Sedimentary flow units in hydrocarbon reservoirs: some shortcomings and a case for high-resolution permeability data; The use of length distributions in geological modelling; A theoretical study of fluvial sandstone body dimensions; Stochastic modelling of fluvial sandstone bodies; A 3-D modelling approach for providing a complex reservoir description for reservoir simulations; Index
Record Nr. UNINA-9910830228003321
Oxford, [England] : , : Blackwell Scientific Publications, , 1993
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The GFDL finite-volume cubed-sphere dynamical core: release 201912 / / document prepared by Lucas Harris [and three others]
The GFDL finite-volume cubed-sphere dynamical core: release 201912 / / document prepared by Lucas Harris [and three others]
Autore Harris Lucas
Pubbl/distr/stampa [Princeton, N.J.] : , : GFDL Weather and Climate Dynamics Division, , 2020
Descrizione fisica 1 online resource (10 unnumbered pages)
Collana Technical memorandum GFDL
Soggetto topico Microphysics
Mathematical optimization
Geological modeling
Earth sciences
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti GFDL finite-volume cubed-sphere dynamical core
Record Nr. UNINA-9910713551303321
Harris Lucas  
[Princeton, N.J.] : , : GFDL Weather and Climate Dynamics Division, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Global optimization methods in geophysical inversion / / Mrinal K. Sen, University of Texas, Austin, USA and Paul L. Stoffa, The University of Texas, Austin, USA [[electronic resource]]
Global optimization methods in geophysical inversion / / Mrinal K. Sen, University of Texas, Austin, USA and Paul L. Stoffa, The University of Texas, Austin, USA [[electronic resource]]
Autore Sen Mrinal K.
Edizione [2nd ed.]
Pubbl/distr/stampa Cambridge : , : Cambridge University Press, , 2013
Descrizione fisica 1 online resource (xii, 289 pages) : digital, PDF file(s)
Disciplina 550.1/515357
Soggetto topico Geological modeling
Geophysics - Mathematical models
Inverse problems (Differential equations)
Mathematical optimization
ISBN 1-107-23477-8
1-139-61021-X
1-139-60864-9
1-139-62509-8
0-511-99757-4
1-139-61579-3
1-139-61207-7
1-299-25764-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Global Optimization Methods in Geophysical Inversion; Title; Copyright; Contents; Preface to the first edition (1995); Preface to the second edition (2013); 1 Preliminary statistics; 1.1 Random variables; 1.2 Random numbers; 1.3 Probability; 1.4 Probability distribution, distribution function, and density function; 1.4.1 Examples of distribution and density functions; 1.4.1.1 Normal or Gaussian distribution; 1.4.1.2 Cauchy distribution; 1.4.1.3 Gibbs' distribution; 1.5 Joint and marginal probability distributions; 1.6 Mathematical expectation, moments, variances, and covariances
1.7 Conditional probability and Bayes' rule1.8 Monte Carlo integration; 1.9 Importance sampling; 1.10 Stochastic processes; 1.11 Markov chains; 1.12 Homogeneous, inhomogeneous, irreducible, and aperiodic Markov chains; 1.13 The limiting probability; 2 Direct, linear, and iterative-linear inverse methods; 2.1 Direct inversion methods; 2.2 Model-based inversion methods; 2.2.1 Linear/linearized methods; 2.2.2 Iterative-linear or gradient-based methods; 2.2.3 Enumerative or grid-search method; 2.2.4 Monte Carlo method; 2.2.4.1 Directed Monte Carlo methods; 2.3 Linear/linearized inverse methods
2.3.1 Existence2.3.2 Uniqueness; 2.3.3 Stability; 2.3.4 Robustness; 2.4 Solution of linear inverse problems; 2.4.1 Method of least squares; 2.4.1.1 Maximum-likelihood methods; 2.4.2 Stability and uniqueness - singular-value-decomposition (SVD) analysis; 2.4.3 Methods of constraining the solution; 2.4.3.1 Positivity constraint; 2.4.3.2 Prior model; 2.4.3.3 Model smoothness; 2.4.4 Uncertainty estimates; 2.4.5 Regularization; 2.4.5.1 Method for choosing the regularization parameter; The L-curve; Generalized cross-validation (GCV) method; Morozov's discrepancy principle
Engl's modified discrepancy principle2.4.6 General Lp Norm; 2.4.6.1 IRLS; 2.4.6.2 Total variation regularization (TVR); 2.5 Iterative methods for non-linear problems: local optimization; 2.5.1 Quadratic function; 2.5.2 Newton's method; 2.5.3 Steepest descent; 2.5.4 Conjugate gradient; 2.5.5 Gauss-Newton; 2.6 Solution using probabilistic formulation; 2.6.1 Linear case; 2.6.2 Case of weak non-linearity; 2.6.3 Quasi-linear case; 2.6.4 Non-linear case; 2.7 Summary; 3 Monte Carlo methods; 3.1 Enumerative or grid-search techniques; 3.2 Monte Carlo inversion; 3.3 Hybrid Monte Carlo-linear inversion
3.4 Directed Monte Carlo methods4 Simulated annealing methods; 4.1 Metropolis algorithm; 4.1.1 Mathematical model and asymptotic convergence; 4.1.1.1 Irreducibility; 4.1.1.2 Aperiodicity; 4.1.1.3 Limiting probability; 4.2 Heat bath algorithm; 4.2.1 Mathematical model and asymptotic convergence; 4.2.1.1 Transition probability matrix; 4.2.1.2 Irreducibility; 4.2.1.3 Aperiodicity; 4.2.1.4 Limiting probability; 4.3 Simulated annealing without rejected moves; 4.4 Fast simulated annealing (FSA); 4.5 Very fast simulated reannealing; 4.6 Mean field annealing; 4.6.1 Neurons and neural networks
4.6.2 Hopfield neural networks
Record Nr. UNINA-9910465378203321
Sen Mrinal K.  
Cambridge : , : Cambridge University Press, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Global optimization methods in geophysical inversion / / Mrinal K. Sen, University of Texas, Austin, USA and Paul L. Stoffa, The University of Texas, Austin, USA [[electronic resource]]
Global optimization methods in geophysical inversion / / Mrinal K. Sen, University of Texas, Austin, USA and Paul L. Stoffa, The University of Texas, Austin, USA [[electronic resource]]
Autore Sen Mrinal K.
Edizione [2nd ed.]
Pubbl/distr/stampa Cambridge : , : Cambridge University Press, , 2013
Descrizione fisica 1 online resource (xii, 289 pages) : digital, PDF file(s)
Disciplina 550.1/515357
Soggetto topico Geological modeling
Geophysics - Mathematical models
Inverse problems (Differential equations)
Mathematical optimization
ISBN 1-108-44584-5
1-107-23477-8
1-139-61021-X
1-139-60864-9
1-139-62509-8
0-511-99757-4
1-139-61579-3
1-139-61207-7
1-299-25764-X
Classificazione SCI032000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Global Optimization Methods in Geophysical Inversion; Title; Copyright; Contents; Preface to the first edition (1995); Preface to the second edition (2013); 1 Preliminary statistics; 1.1 Random variables; 1.2 Random numbers; 1.3 Probability; 1.4 Probability distribution, distribution function, and density function; 1.4.1 Examples of distribution and density functions; 1.4.1.1 Normal or Gaussian distribution; 1.4.1.2 Cauchy distribution; 1.4.1.3 Gibbs' distribution; 1.5 Joint and marginal probability distributions; 1.6 Mathematical expectation, moments, variances, and covariances
1.7 Conditional probability and Bayes' rule1.8 Monte Carlo integration; 1.9 Importance sampling; 1.10 Stochastic processes; 1.11 Markov chains; 1.12 Homogeneous, inhomogeneous, irreducible, and aperiodic Markov chains; 1.13 The limiting probability; 2 Direct, linear, and iterative-linear inverse methods; 2.1 Direct inversion methods; 2.2 Model-based inversion methods; 2.2.1 Linear/linearized methods; 2.2.2 Iterative-linear or gradient-based methods; 2.2.3 Enumerative or grid-search method; 2.2.4 Monte Carlo method; 2.2.4.1 Directed Monte Carlo methods; 2.3 Linear/linearized inverse methods
2.3.1 Existence2.3.2 Uniqueness; 2.3.3 Stability; 2.3.4 Robustness; 2.4 Solution of linear inverse problems; 2.4.1 Method of least squares; 2.4.1.1 Maximum-likelihood methods; 2.4.2 Stability and uniqueness - singular-value-decomposition (SVD) analysis; 2.4.3 Methods of constraining the solution; 2.4.3.1 Positivity constraint; 2.4.3.2 Prior model; 2.4.3.3 Model smoothness; 2.4.4 Uncertainty estimates; 2.4.5 Regularization; 2.4.5.1 Method for choosing the regularization parameter; The L-curve; Generalized cross-validation (GCV) method; Morozov's discrepancy principle
Engl's modified discrepancy principle2.4.6 General Lp Norm; 2.4.6.1 IRLS; 2.4.6.2 Total variation regularization (TVR); 2.5 Iterative methods for non-linear problems: local optimization; 2.5.1 Quadratic function; 2.5.2 Newton's method; 2.5.3 Steepest descent; 2.5.4 Conjugate gradient; 2.5.5 Gauss-Newton; 2.6 Solution using probabilistic formulation; 2.6.1 Linear case; 2.6.2 Case of weak non-linearity; 2.6.3 Quasi-linear case; 2.6.4 Non-linear case; 2.7 Summary; 3 Monte Carlo methods; 3.1 Enumerative or grid-search techniques; 3.2 Monte Carlo inversion; 3.3 Hybrid Monte Carlo-linear inversion
3.4 Directed Monte Carlo methods4 Simulated annealing methods; 4.1 Metropolis algorithm; 4.1.1 Mathematical model and asymptotic convergence; 4.1.1.1 Irreducibility; 4.1.1.2 Aperiodicity; 4.1.1.3 Limiting probability; 4.2 Heat bath algorithm; 4.2.1 Mathematical model and asymptotic convergence; 4.2.1.1 Transition probability matrix; 4.2.1.2 Irreducibility; 4.2.1.3 Aperiodicity; 4.2.1.4 Limiting probability; 4.3 Simulated annealing without rejected moves; 4.4 Fast simulated annealing (FSA); 4.5 Very fast simulated reannealing; 4.6 Mean field annealing; 4.6.1 Neurons and neural networks
4.6.2 Hopfield neural networks
Record Nr. UNINA-9910792070103321
Sen Mrinal K.  
Cambridge : , : Cambridge University Press, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Global optimization methods in geophysical inversion / / Mrinal K. Sen, University of Texas, Austin, USA and Paul L. Stoffa, The University of Texas, Austin, USA [[electronic resource]]
Global optimization methods in geophysical inversion / / Mrinal K. Sen, University of Texas, Austin, USA and Paul L. Stoffa, The University of Texas, Austin, USA [[electronic resource]]
Autore Sen Mrinal K.
Edizione [2nd ed.]
Pubbl/distr/stampa Cambridge : , : Cambridge University Press, , 2013
Descrizione fisica 1 online resource (xii, 289 pages) : digital, PDF file(s)
Disciplina 550.1/515357
Soggetto topico Geological modeling
Geophysics - Mathematical models
Inverse problems (Differential equations)
Mathematical optimization
ISBN 1-108-44584-5
1-107-23477-8
1-139-61021-X
1-139-60864-9
1-139-62509-8
0-511-99757-4
1-139-61579-3
1-139-61207-7
1-299-25764-X
Classificazione SCI032000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Global Optimization Methods in Geophysical Inversion; Title; Copyright; Contents; Preface to the first edition (1995); Preface to the second edition (2013); 1 Preliminary statistics; 1.1 Random variables; 1.2 Random numbers; 1.3 Probability; 1.4 Probability distribution, distribution function, and density function; 1.4.1 Examples of distribution and density functions; 1.4.1.1 Normal or Gaussian distribution; 1.4.1.2 Cauchy distribution; 1.4.1.3 Gibbs' distribution; 1.5 Joint and marginal probability distributions; 1.6 Mathematical expectation, moments, variances, and covariances
1.7 Conditional probability and Bayes' rule1.8 Monte Carlo integration; 1.9 Importance sampling; 1.10 Stochastic processes; 1.11 Markov chains; 1.12 Homogeneous, inhomogeneous, irreducible, and aperiodic Markov chains; 1.13 The limiting probability; 2 Direct, linear, and iterative-linear inverse methods; 2.1 Direct inversion methods; 2.2 Model-based inversion methods; 2.2.1 Linear/linearized methods; 2.2.2 Iterative-linear or gradient-based methods; 2.2.3 Enumerative or grid-search method; 2.2.4 Monte Carlo method; 2.2.4.1 Directed Monte Carlo methods; 2.3 Linear/linearized inverse methods
2.3.1 Existence2.3.2 Uniqueness; 2.3.3 Stability; 2.3.4 Robustness; 2.4 Solution of linear inverse problems; 2.4.1 Method of least squares; 2.4.1.1 Maximum-likelihood methods; 2.4.2 Stability and uniqueness - singular-value-decomposition (SVD) analysis; 2.4.3 Methods of constraining the solution; 2.4.3.1 Positivity constraint; 2.4.3.2 Prior model; 2.4.3.3 Model smoothness; 2.4.4 Uncertainty estimates; 2.4.5 Regularization; 2.4.5.1 Method for choosing the regularization parameter; The L-curve; Generalized cross-validation (GCV) method; Morozov's discrepancy principle
Engl's modified discrepancy principle2.4.6 General Lp Norm; 2.4.6.1 IRLS; 2.4.6.2 Total variation regularization (TVR); 2.5 Iterative methods for non-linear problems: local optimization; 2.5.1 Quadratic function; 2.5.2 Newton's method; 2.5.3 Steepest descent; 2.5.4 Conjugate gradient; 2.5.5 Gauss-Newton; 2.6 Solution using probabilistic formulation; 2.6.1 Linear case; 2.6.2 Case of weak non-linearity; 2.6.3 Quasi-linear case; 2.6.4 Non-linear case; 2.7 Summary; 3 Monte Carlo methods; 3.1 Enumerative or grid-search techniques; 3.2 Monte Carlo inversion; 3.3 Hybrid Monte Carlo-linear inversion
3.4 Directed Monte Carlo methods4 Simulated annealing methods; 4.1 Metropolis algorithm; 4.1.1 Mathematical model and asymptotic convergence; 4.1.1.1 Irreducibility; 4.1.1.2 Aperiodicity; 4.1.1.3 Limiting probability; 4.2 Heat bath algorithm; 4.2.1 Mathematical model and asymptotic convergence; 4.2.1.1 Transition probability matrix; 4.2.1.2 Irreducibility; 4.2.1.3 Aperiodicity; 4.2.1.4 Limiting probability; 4.3 Simulated annealing without rejected moves; 4.4 Fast simulated annealing (FSA); 4.5 Very fast simulated reannealing; 4.6 Mean field annealing; 4.6.1 Neurons and neural networks
4.6.2 Hopfield neural networks
Record Nr. UNINA-9910822272103321
Sen Mrinal K.  
Cambridge : , : Cambridge University Press, , 2013
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