Data science application in structural integrity analysis of fixed offshore jacket platform

Abstract Accuracy in analysing the integrity of a structure is critical for determining structure’s fitness service and reliability status. Today, variety techniques approaches are applied, including use data science applications. Data synthesis computer science, mathematics, statistics. Meanwhile, susceptible to mix statistical technical design uncertainties that may remain flexible as long capable successfully managing encountered load. Numerous applications used oil gas sector estimate probability failure (POF), but they all have particular restriction. Integral interference equations based on load versus strength reliable POF fixed offshore structures. This study quantitative risk assessment, emphasising Python application, an improved method calculating value. A representative sample monopod was chosen subjected global non-linear analysis this study. The most form distribution predetermined, algorithm created using apply compute suitable integral equation depending conditions. method’s result demonstrated high degree confidence new intact condition from perspective, inspection interval, consider.