A Framework for Project Risk Assessment in Dynamic Networks: A Case Study of Oil and Gas Megaproject Construction

Conventionally, risk assessment methods suffer from ignoring the dynamic nature of risks. Therefore, this study demonstrates an interactive approach to risks and prioritizes based on their overall cyclic events acting attainment goals a project during its life cycle. Hence, gas condensate storage tank construction (G.C.S.T.C) are first identified evaluated by using fuzzy inference system (F.I.S); then, created network is simulated over cycle results F.I.S; finally, impacts assessed applying purposeful indicators. Based results, increase in economic sanctions most significantly achieving goals, lack governmental support, variation fiscal policy, high inflation rates, sharp changes exchange rate considered as important The also demonstrated that these five improved more than 55%, while total improvement 21 other enhanced achievement less 45%.