Assisted history matching for unconventional reservoirs /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Tripoppoom, Sutthaporn
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, MA : Gulf Professional Publishing, 2021.
Temas:
Oil reservoir engineering.
Hydraulic fracturing.
Hydrocarbon reservoirs > Computer simulation.
�Etude des gisements p�etrolif�eres.
Fracturation hydraulique.
R�eservoirs d'hydrocarbures > Simulation par ordinateur.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover
  • Assisted History Matching for Unconventional Reservoirs
  • Copyright Page
  • Dedication
  • Contents
  • About the authors
  • Preface
  • 1 Introduction and literature review
  • 1.1 Motivation
  • 1.2 Literature review
  • 1.2.1 History matching algorithms
  • 1.2.2 Fracture modeling
  • 1.2.3 Other challenges in unconventional reservoirs
  • 1.3 Assisted history matching in unconventional reservoirs
  • References
  • 2 Methodology
  • 2.1 Assisted history-matching framework
  • 2.2 Embedded discrete fracture model
  • 2.3 Reservoir simulator
  • 2.3.1 Multiphase flow governing equations
  • 2.4 Proxy model
  • 2.4.1 k-nearest neighbors
  • 2.4.2 Neural networks
  • 2.5 Proxy-based Markov chain Monte Carlo algorithm
  • 2.5.1 Markov chain Monte Carlo
  • 2.5.2 Proxy-based MCMC algorithm and stopping criteria
  • 2.6 Steps in assisted history-matching workflow
  • 2.6.1 Parameters identification and screening
  • 2.6.1.1 Multiple objective functions
  • 2.6.2 History matching
  • 2.6.3 Probabilistic forecasting
  • References
  • 3 Validation of assisted history matching for a synthetic shale gas well
  • 3.1 Introduction
  • 3.2 Case 1: hydraulic fractures only
  • 3.2.1 Reservoir model
  • 3.2.2 History matching
  • 3.2.3 Posterior distribution
  • 3.2.4 Production forecast
  • 3.2.5 Pressure visualization
  • 3.3 Case 2: hydraulic fractures and natural fractures
  • 3.3.1 Reservoir model
  • 3.3.2 History matching
  • 3.3.3 Posterior distribution
  • 3.3.4 Production forecast
  • 3.3.5 Pressure visualization
  • 3.4 Remarks
  • 4 Shale-gas well in Longmaxi Shale with bi-wing hydraulic fractures
  • 4.1 Introduction
  • 4.2 Reservoir model
  • 4.3 Comparison between EDFM and LGR
  • 4.4 Parameters identification and screening
  • 4.5 History matching
  • 4.6 Probabilistic production forecasting
  • 4.7 Remarks
  • References
  • 5 Shale-gas well in Marcellus Shale with bi-wing hydraulic fractures
  • 5.1 Introduction
  • 5.2 Reservoir model
  • 5.3 Sensitivity analysis
  • 5.4 History matching
  • 5.5 Posterior distribution of matrix and fracture parameters
  • 5.6 Probabilistic production forecasting
  • 5.7 Remarks
  • Reference
  • 6 Proxy comparison between neural network and k-nearest neighbors
  • 6.1 Introduction
  • 6.2 Reservoir model
  • 6.3 Parameters identification and screening
  • 6.4 History matching
  • 6.5 Probabilistic forecasting
  • 6.6 Remarks
  • References
  • 7 Shale-gas well with and without enhanced permeability area
  • 7.1 Introduction
  • 7.2 Parameters identification and screening
  • 7.3 History matching
  • 7.4 Probabilistic forecasting
  • 7.5 Remarks
  • References
  • 8 Shale-gas well with and without natural fractures
  • 8.1 Introduction
  • 8.2 Reservoir model
  • 8.3 History matching
  • 8.3.1 Case 1: hydraulic fractures only (no natural fractures)
  • 8.3.2 Case 2: hydraulic fractures and natural fractures (with NF)
  • 8.4 Discussion
  • 8.5 Probabilistic production forecast
  • 8.6 1000 History-matching solutions from neural networks

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