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Experimental design in petroleum reservoir studies / / Mohammad Jamshidnezhad
Experimental design in petroleum reservoir studies / / Mohammad Jamshidnezhad
Autore Jamshidnezhad Mohammad
Pubbl/distr/stampa Amsterdam, [Netherlands] : , : Elsevier, , 2015
Descrizione fisica 1 online resource (187 p.)
Disciplina 622.3382015118
Soggetto topico Oil reservoir engineering - Mathematical models
Petroleum - Geology - Mathematical models
Petroleum engineering - Mathematics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Experimental Design in Petroleum Reservoir Studies; Copyright Page; Contents; Biography; Preface; 1 Introduction; 1.1 Petroleum reservoirs; 1.2 Petroleum rock properties; 1.3 Volumetric calculations in a reservoir; 1.4 Reservoir heterogeneity; 1.5 Reservoir models; 1.6 Experimental design; 2 Reservoir modeling; 2.1 Introduction; 2.2 Sources of data for reservoir modeling; 2.3 Reservoir characterization; 2.3.1 Geophysical and geological data; 2.3.2 Engineering data; 2.3.2.1 Core data; 2.3.2.2 Well logging data; 2.3.2.3 Pressure transient data
2.3.2.4 Properties of reservoir fluids2.3.2.5 Rock-Fluid data; 2.3.2.6 Initialization data; 2.3.2.7 Well and recurrent data; 2.4 Mathematical modeling; 2.4.1 Decline curve analysis; 2.4.2 Analytical models; 2.4.3 Numerical simulation; 2.5 Model verification; 3 Experimental design in reservoir engineering; 3.1 Introduction; 3.2 Errors in mathematical modeling; 3.3 Uncertainty in reservoir data; 3.3.1 Uncertainty in geophysical data; 3.3.2 Uncertainty in geological data; 3.3.3 Uncertainty in dynamic data; 3.3.4 Uncertainty in PVT data; 3.3.5 Uncertainty in field performance data
3.4 Uncertainty analysis3.4.1 History matching; 3.4.2 Stochastic methods for uncertainty analysis; 3.4.2.1 Basic definitions; 3.4.3 Monte Carlo simulation; 3.5 Experimental design; 3.5.1 Basic rules in experimental design; 3.5.2 Outcomes of experimental design; 3.5.3 Designs; 3.5.3.1 Two-level full factorial designs; 3.5.3.2 Two-level fractional factorial designs; 3.5.3.3 Plackett-Burman design; 3.5.3.4 Three-level designs; 3.5.3.5 Latin hypercube design; 3.5.4 Response surface; 3.5.5 Sensitivity analysis; 3.5.5.1 Sensitivity analysis work flow; 4 Case studies; 4.1 Introduction
4.2 Case study 14.2.1 Ninth SPE comparative solution problem; 4.2.2 Uncertain parameters; 4.2.3 Experimental design; 4.2.4 Response surfaces; 4.3 Case study 2; 4.3.1 Undersaturated fractured reservoir in the middle east; 4.3.2 Uncertainty parameters; 4.4 Case study 3; 4.4.1 PUNQ case; 4.4.2 Uncertain parameters; 4.5 Case study 4; 4.5.1 Steam assisted gravity drainage in a heavy oil reservoir; 4.5.2 Experimental design; 4.6 Case study 5; 4.6.1 Barnett shale gas reservoir; 4.6.2 Reservoir modeling; 4.6.3 Uncertainty parameters; 4.6.4 Experimental design; 4.7 Case study 6
4.7.1 Miscible WAG injection4.7.2 Reservoir modeling; 4.7.3 Uncertain parameters; 4.7.4 Experimental design; Appendix: F distribution values; References; Index
Record Nr. UNINA-9910788143303321
Jamshidnezhad Mohammad  
Amsterdam, [Netherlands] : , : Elsevier, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Experimental design in petroleum reservoir studies / / Mohammad Jamshidnezhad
Experimental design in petroleum reservoir studies / / Mohammad Jamshidnezhad
Autore Jamshidnezhad Mohammad
Pubbl/distr/stampa Amsterdam, [Netherlands] : , : Elsevier, , 2015
Descrizione fisica 1 online resource (187 p.)
Disciplina 622.3382015118
Soggetto topico Oil reservoir engineering - Mathematical models
Petroleum - Geology - Mathematical models
Petroleum engineering - Mathematics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Experimental Design in Petroleum Reservoir Studies; Copyright Page; Contents; Biography; Preface; 1 Introduction; 1.1 Petroleum reservoirs; 1.2 Petroleum rock properties; 1.3 Volumetric calculations in a reservoir; 1.4 Reservoir heterogeneity; 1.5 Reservoir models; 1.6 Experimental design; 2 Reservoir modeling; 2.1 Introduction; 2.2 Sources of data for reservoir modeling; 2.3 Reservoir characterization; 2.3.1 Geophysical and geological data; 2.3.2 Engineering data; 2.3.2.1 Core data; 2.3.2.2 Well logging data; 2.3.2.3 Pressure transient data
2.3.2.4 Properties of reservoir fluids2.3.2.5 Rock-Fluid data; 2.3.2.6 Initialization data; 2.3.2.7 Well and recurrent data; 2.4 Mathematical modeling; 2.4.1 Decline curve analysis; 2.4.2 Analytical models; 2.4.3 Numerical simulation; 2.5 Model verification; 3 Experimental design in reservoir engineering; 3.1 Introduction; 3.2 Errors in mathematical modeling; 3.3 Uncertainty in reservoir data; 3.3.1 Uncertainty in geophysical data; 3.3.2 Uncertainty in geological data; 3.3.3 Uncertainty in dynamic data; 3.3.4 Uncertainty in PVT data; 3.3.5 Uncertainty in field performance data
3.4 Uncertainty analysis3.4.1 History matching; 3.4.2 Stochastic methods for uncertainty analysis; 3.4.2.1 Basic definitions; 3.4.3 Monte Carlo simulation; 3.5 Experimental design; 3.5.1 Basic rules in experimental design; 3.5.2 Outcomes of experimental design; 3.5.3 Designs; 3.5.3.1 Two-level full factorial designs; 3.5.3.2 Two-level fractional factorial designs; 3.5.3.3 Plackett-Burman design; 3.5.3.4 Three-level designs; 3.5.3.5 Latin hypercube design; 3.5.4 Response surface; 3.5.5 Sensitivity analysis; 3.5.5.1 Sensitivity analysis work flow; 4 Case studies; 4.1 Introduction
4.2 Case study 14.2.1 Ninth SPE comparative solution problem; 4.2.2 Uncertain parameters; 4.2.3 Experimental design; 4.2.4 Response surfaces; 4.3 Case study 2; 4.3.1 Undersaturated fractured reservoir in the middle east; 4.3.2 Uncertainty parameters; 4.4 Case study 3; 4.4.1 PUNQ case; 4.4.2 Uncertain parameters; 4.5 Case study 4; 4.5.1 Steam assisted gravity drainage in a heavy oil reservoir; 4.5.2 Experimental design; 4.6 Case study 5; 4.6.1 Barnett shale gas reservoir; 4.6.2 Reservoir modeling; 4.6.3 Uncertainty parameters; 4.6.4 Experimental design; 4.7 Case study 6
4.7.1 Miscible WAG injection4.7.2 Reservoir modeling; 4.7.3 Uncertain parameters; 4.7.4 Experimental design; Appendix: F distribution values; References; Index
Record Nr. UNINA-9910817607503321
Jamshidnezhad Mohammad  
Amsterdam, [Netherlands] : , : Elsevier, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Integrated flow modeling / / John R. Franchi
Integrated flow modeling / / John R. Franchi
Autore Fanchi John R
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam [Netherlands] ; ; New York, : Elsevier Science B.V., 2000
Descrizione fisica 1 online resource (305 p.)
Disciplina 553.28
622.3382015118
622/.3382/015118 21
Collana Developments in petroleum science
Soggetto topico Hydrocarbon reservoirs - Mathematical models
Traps (Petroleum geology)
ISBN 1-281-05463-1
9786611054632
0-08-053481-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Contents; About the Author; Preface; Chapter 1. Overview; 1.1 Program Overview; 1.2 Conventional Black Oil Simulator Equations; 1.3 Extended Black Oil Simulator Equations; 1.4 Program Operation; 1.5 Input Data File- ITEMP.DAT; 1.6 Output Data Files; Exercises; Chapter 2. Reservoir Structure; 2.1 Coordinate Orientation; 2.2 Traditional Mapping; 2.3 Computer Generated Maps; 2.4 Geostatistical Mapping; 2.5 Bulk Volume and Net Volume; Exercises; Chapter 3. Porosity; 3.1 Porosity Defined; 3.2 Net Pore Volume and Saturation; 3.3 Statistics of Porosity Distributions; 3.4 Characteristic Volume
ExercisesChapter 4. Permeability; 4.1 Darcy's Law; 4.2 Permeability; 4.3 Directional De pendence of Permeability; 4.4 Permeability Averaging; Exercises; Chapter 5. Critical Sample Size; 5.1 Critical Sample Size for Porosity; 5.2 Permeability Distributions; 5.3 Critical Sample Size for Permeability; 5.4 Measures of Permeability Heterogeneity; Exercises; Chapter 6. Petrophysical Model; 6.1 Compressional and Shear Velocities; 6.2 Estimates of Moduli; 6.3 Moduli from Acoustic Velocities; 6.4 Acoustic Impedance and Reflection Coefficient; 6.5 Geostatistical Correlations; Exercises
Chapter 7. Relative Permeability7.1 Effective Permeability and Relative Permeability; 7.2 Two-Phase Relative Permeability; 7.3 Averaging Relative Permeability Data; 7.4 Two-Phase Relative Permeability Correlations; 7.5 Three-Phase Relative Permeability Correlations; Exercises; Chapter 8. Capillary Pressure; 8.1 Basic Concepts; 8.2 Capillary Pressure; 8.3 Capillary Pressure Measurements; 8.4 Capillary Pressure Correlation Methods; Exercises; Chapter 9. Extended Rock-Fluid Interactions; 9.1 Miscible Conditions; 9.2 Solid Precipitation; 9.3 Water Blocking; 9.4 Mobility Control
9.5 Effective Relative Permeability and Capillary Pressure9.6 Transmissibility; Exercises; Chapter 10. Fluid Properties; 10.1 Fundamental Fluid Property Concepts; 10.2 Black Oil Model PVT Data; 10.3 Extrapolating Saturated Curves; 10.4 Bubble Point Tracking; 10.5 Extended Fluid Properties Model; Exercises; Chapter 11. Fluid Displacement; 11.1 Mobility; 11.2 Fractional Flow; 11.3 Recovery Efficiency; 11.4 Production Stages; 11.5 Miscible Displacement Models; Exercises; Chapter 12. Formulation of Flow Equations; 12.1 Conservation of Mass; 12.2 Flow Equations for Three-Phase Flow
12.3 Recasting the Flow Equations12.4 Introduction of the Capillary Pressure Concept; 12.5 Extended Black Oil Simulator Equations; Exercises; Chapter 13. Source/Sink Terms; 13.1 Productivity Index; 13.2 Rate Constraint Representation; 13.3 Pressure Constraint Representation; 13.4 Well Constraints; 13.5 Aquifer Models; Exercises; Chapter 14. Solution of the Extended Flow Equations; 14.1 The Finite Difference Concept; 14.2 Derivative of Accumulation Terms; 14.3 Volume Integration and Discretization; 14.4 Multi-Variable Newton-Raphson IMPES Procedure; Exercises; Chapter 15. IFLO Applications
15.1 Monitoring Frontal Advance
Record Nr. UNINA-9911004768103321
Fanchi John R  
Amsterdam [Netherlands] ; ; New York, : Elsevier Science B.V., 2000
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui