Characterization of operational safety in offshore oil wells

Abstract The main concern of activities developed in oil and gas well construction is safety. But safety during the well construction process is not a trivial subject. Today risk evaluation approaches are based in static analyses of existent systems. In other words, those approaches do not allow a dynamic analysis that evaluates the risk for each alteration of the context. This paper proposes the use of Quantitative and Dynamic Risk Assessment (QDRA) to assess the degree of safety of each planned job. The QDRA can be understood as a “safe job analysis” approach, developed with the purpose of quantifying the safety degree in entire well construction and maintenance activities. The QDRA is intended to be used in the planning stages of well construction and maintenance, where the effects of hazard on job sequence are important unknowns. This paper also presents definitions of “barrier” and “barriers integrated set” (BIS), and a modeling technique showing their relationships.

[1]  Ricardo M. S. Accioly,et al.  Modeling dependence with copulas: a useful tool for field development decision process , 2004 .

[2]  W. Pedrycz,et al.  An introduction to fuzzy sets : analysis and design , 1998 .

[3]  J. G. Ross Risk and uncertainty in portfolio characterisation , 2004 .

[4]  Jann Rune Ursin,et al.  Fault block modelling — a material balance model for early production forecasting from strongly compartmentalised gas reservoirs , 2000 .

[5]  L. Durlofsky,et al.  Decision analysis under uncertainty for smart well deployment , 2004 .

[6]  Rao S. Divi,et al.  Probabilistic methods in petroleum resource assessment, with some examples using data from the Arabian region , 2004 .

[7]  Marc Sachon Managing Technology Development for Safety-Critical Systems , 2004 .

[8]  Daniel Moos,et al.  Comprehensive wellbore stability analysis utilizing Quantitative Risk Assessment , 2003 .

[9]  Jan Dirk Jansen,et al.  Probabilistic analysis of the value of a smart well for sequential production of a stacked reservoir , 2004 .

[10]  Denis José Schiozer,et al.  Risk Analysis Applied To Petroleum Exploration And Production: An Overview , 2004 .

[11]  Jerome Schubert,et al.  HAZOP of Well Control Procedures Provides Assurance of the Safety of the SubSea MudLift Drilling System , 2002 .

[12]  C K Morooka,et al.  OFFSHORE WELL COMPLETION OPERATIONAL KNOWLEDGE ACQUISITION AND STRUCTURING , 1993 .

[13]  Saul B. Suslick,et al.  Quantifying the value of technological, environmental and financial gain in decision models for offshore oil exploration , 2001 .

[14]  Hiromitsu Kumamoto,et al.  Evaluation of a dynamic reliability problem based on order of component failure , 1989 .

[15]  J. P. Yu,et al.  A simulation approach in economic assessment and risk analysis of the CO2 miscible flooding process , 1990 .

[16]  Emmanuel Manceau,et al.  Uncertainty management: From geological scenarios to production scheme optimization , 2004 .

[17]  Michael R. Walls,et al.  Combining decision analysis and portfolio management to improve project selection in the exploration and production firm , 2004 .

[18]  Denis José Schiozer,et al.  Use of representative models in the integration of risk analysis and production strategy definition , 2004 .