Integrated Probabilistic Modeling of the Structural Integrity of Subsea Wells
Safety Barriers, System Reliability, Well Integrity, Failure Probability
The increasing global demand for energy, coupled with the availability of hydrocarbons, positions petroleum as one of the primary non-renewable sources in the world's energy matrix. Within the scope of well projects, ensuring their structural integrity under increasingly challenging conditions, especially in deep waters, has become a critical factor for the oil and gas industry. As a result, there has been a significant investment in modelling extreme environmental scenarios encountered in these demanding wells to ensure their integrity throughout their entire operational lifespan. This implies that the processes of well construction, operation, and monitoring must be conducted in a way that prevents fluid migration between the well and its surrounding environment. It is evident that there is a direct relationship between a well's integrity and its safety, as the loss of integrity significantly increases the risk of accidents that can lead to loss of human lives, environmental damage, and economic losses. In this doctoral project, a new methodology is proposed for probabilistic analysis of structural integrity during the construction and operation phases of wells, taking into account the uncertainties associated with the variables that govern their behaviour. The goal is to assess well integrity by considering failure events of its safety barriers under different drilling and production loading scenarios, using the theory of structural reliability. The calculation of the failure probability will be performed using the First-Order Reliability Method (FORM) and Monte Carlo simulation. It is understood that the proposed methodology can be applied in the well design and monitoring stages, aiming to maintain operational safety.