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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 | ||
| ||
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 | ||
| ||
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 | ||
| ||
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 | ||
| ||
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 | ||
| ||
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 | ||
| ||
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 | ||
| ||
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 | ||
| ||
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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Guide to the development and application of geographic information systems for sedimentary basin analysis : case study for the San Juan Basin, New Mexico and Colorado / / by Betty M. Miller
| Guide to the development and application of geographic information systems for sedimentary basin analysis : case study for the San Juan Basin, New Mexico and Colorado / / by Betty M. Miller |
| Autore | Miller Betty M. |
| Pubbl/distr/stampa | Washington, D.C. : , : United States Government Printing Office, , 1992 |
| Descrizione fisica | 1 online resource (iv, 37 pages) : illustrations (some color), maps (some color) |
| Collana | U.S. Geological Survey bulletin |
| Soggetto topico |
Geographic information systems
Geological modeling Sedimentary basins - San Juan Basin (N.M. and Colo.) - Data processing Sedimentary basins - Data processing |
| Soggetto genere / forma | Case studies. |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Guide to the development and application of geographic information systems for sedimentary basin analysis |
| Record Nr. | UNINA-9910708076303321 |
|
Miller Betty M.
|
||
| Washington, D.C. : , : United States Government Printing Office, , 1992 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
