Best Selection of Oil and Gas Environmentally Friendly Drilling Systems Using Bayesian Decision Networks Conference Paper uri icon


  • This paper introduces a decision-making methodology using Bayesian Decision Networks to integrate oil and gas Environmentally Friendly Drilling (EFD) technologies into an optimal drilling system. The aim of the proposed methodology is to minimize the environmental impacts, optimize the cost-benefits, and at the same time consider the effects of the public perception on the drilling process, which can be applicable to both onshore and offshore operations. A simplified model is discussed to prove the concept and to show the theoretical and computational foundations of the Bayesian approach. It is anticipated that industry, government agencies, environmental organizations, and other oil and gas stakeholders will benefit from an uncertainty-based EFD system selection method as a way to identify critical components that require further design and research, which can allow for a reduction on the existing operating risk in similar processes. 2012: The Royal Institution of Naval Architects.

name of conference

  • ICSOT Korea 2012 - Developments in fixed and floating offshore structures

published proceedings

  • ICSOT Korea 2012 - Developments in fixed and floating offshore structures

author list (cited authors)

  • Yu, O., & Medina-Cetina, Z.

citation count

  • 0

complete list of authors

  • Yu, O-Y||Medina-Cetina, Z

publication date

  • May 2012