Jingyu Zhu

TL;DR: An integrated methodology for evaluating deepwater drilling risk by combining directed acyclic graph (DAG) and risk entropy is presented and shows that changes of uncertainties of risk factors result in the variation of the shortest path both in probability values and event sequences.

TL;DR: A sequence-based dynamic reliability assessment method, which focuses on the dynamic modeling of sequential operations for the MPD system by integrating GO-FLOW and dynamic Bayesian Network, which provides an important technique that can be implemented with online condition monitoring tools to assess and monitor the reliability of theMPD operation in real-time.

TL;DR: The result shows that changes of failure probabilities of risk factors lead to the variation of the shortest path both in probabilities and event sequences.

TL;DR: In this paper , the authors present an integrated method using the system-theoretic accident model and process (STAMP)-Bayesian network (BN) for evaluation of the structure safety and prediction of the failure scenarios.

TL;DR: In this paper , a risk updating method based on the dynamic Bayesian network (DBN) is proposed to incorporate data monitoring into PRA in real-time, which is validated using the RT 580 experimental setup and managed pressure drilling operations.