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Autor(en): 
  • Jebraeel Gholinezhad
  • Reza Yousefzadeh
  • Mohammad Ahmadi
  • Alireza Kazemi
  • Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization: Robust Optimization and History Matching 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  April 2023  
    Genre:  Naturwissensch., Medizin, Technik 
     
    EconomicUncertainty / GeologicalUncertainty / Geologie und die Lithosphäre / Historymatching / Konstruktiver Ingenieurbau, Baustatik / Mathematische / Computergestützte / Theoretische Physik / RobustOptimization / Technologien für fossile Brennstoffe, allgemein
    ISBN:  9783031280788 
    EAN-Code: 
    9783031280788 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 9 mm 
    Gewicht:  236 gr 
    Seiten:  148 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book explores methods for managing uncertainty in reservoir characterization and optimization. It covers the fundamentals, challenges, and solutions to tackle the challenges made by geological uncertainty. The first chapter discusses types and sources of uncertainty and the challenges in different phases of reservoir management, along with general methods to manage it. The second chapter focuses on geological uncertainty, explaining its impact on field development and methods to handle it using prior information, seismic and petrophysical data, and geological parametrization. The third chapter deals with reducing geological uncertainty through history matching and the various methods used, including closed-loop management, ensemble assimilation, and stochastic optimization. The fourth chapter presents dimensionality reduction methods to tackle high-dimensional geological realizations. The fifth chapter covers field development optimization using robust optimization, including solutions for its challenges such as high computational cost and risk attitudes. The final chapter introduces different types of proxy models in history matching and robust optimization, discussing their pros and cons, and applications. The book will be of interest to researchers and professors, geologists and professionals in oil and gas production and exploration.

      



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