Operational & on-line risk analysis

The work with integration of human and organizational aspects into quantitative operational risk analysis for fixed and floating offshore installations and shuttle tankers started in the mid 1990s, and a number of research projects has been managed in this field, with government and private funding, with a total budget of more than 30 million NOK.

The latest step is through the MIRMAP NFR project and the RISCOPS initiative, with the on-line risk analysis approach for improved detection and operations advice.

 

Papers:

Aven, Sklet, and Vinnem (2006)"Barrier and operational risk analysis of hydrocarbon releases (BORA-Release); Part I Method description"
Journal of Hazardous Materials, A137, 681-691
Sklet, Vinnem and Aven (2006)"Barrier and operational risk analysis of hydrocarbon releases (BORA-Release); Part II Results from a case study"
Journal of Hazardous Materials, A137, 692-708
Aven, Hauge, Sklet and Vinnem (2006)"Methodology for incorporating human and organizational factors in risk analyses for offshore installations"
Int. J. of Materials & Structural Reliability, 4, 1-14
Vinnem, Seljelid, Haugen, Sklet, and Aven (2009)"Generalized methodology for operational risk analysis of offshore installations"
Proc. IMechE, Part O: J. Risk and Reliability, 223(O1), 87-97
Skogdalen, Vinnem (2011)"Quantitative risk analysis offshore-Human and organizational factors", Reliability Engineering & System Safety, 96, 468–479.
Skogdalen, Vinnem (2011)"Combining precursor incidents investigations and QRA in oil and gas industry", Reliability Engineering & System Safety, 101, pp. 48-58
Vinnem, Bye, Gran, Kongsvik, Nyheim, Okstad, Seljelid & Vatn (2012)"Risk modelling of maintenance work on major process equipment on offshore petroleum installations", Loss Prevention in the Process Industries 25/2, pp 274-292
Gran, Bye, Nyheim, Okstad, Seljelid, Sklet, Vatn, Vinnem (2012). "Evaluation of the risk model of maintenance work on major process equipment on offshore petroleum installations", Loss Prevention in the Process Industries, 25/3, pp. 582–593