Risk Management in Oil Field Development Projects

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There are interrelations between various risk factors and propose that decision-makers should identify "interactive risk paths" rather than "independent individual risks" for better simulation of project conditions. This study is an effort to mitigate negligence of previous studies that depend on separate risk categories, generic checklists and one way risk hierarchies and propose an alternative Risk-Path Model. In this model, risk factors, their sources, and their consequences are assumed to be causally dependent. Moreover, within the context of this study, the vulnerability factors inherent in the project environment are assumed to act as the initiatives of the possible risk paths. It is believed that incorporating system's vulnerabilities into the risk-path identification process will lead to more realistic and more accurate estimations about the future since these factors are known with higher level of certainties at early stages of the projects. All the possible interactions among diverse identified vulnerability generated risk paths are tested and the cross impacts are estimated employing Structural Equation Modeling (SEM) technique.

Autorentext

Ishan is currently working in Sapient Global Markets as an Associate Trade & Risk Manager. Have done Masters in the domain of Energy Trading from University of Petroleum and Energy Studies. He takes particular interests in Financial Prospects of Energy Trading and Petroleum Accounting. Research and consultancy interests him in the Energy domain.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659540486
    • Sprache Englisch
    • Größe H220mm x B150mm x T17mm
    • Jahr 2018
    • EAN 9783659540486
    • Format Kartonierter Einband
    • ISBN 365954048X
    • Veröffentlichung 15.09.2018
    • Titel Risk Management in Oil Field Development Projects
    • Autor Ishan Wadhwa , Sumeet Gupta
    • Untertitel Structural Equation Modeling for Risk Management
    • Gewicht 417g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 268
    • Genre Management

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