[HTML][HTML] Application of machine learning and artificial intelligence in oil and gas industry
Oil and gas industries are facing several challenges and issues in data processing and
handling. Large amount of data bank is generated with various techniques and processes …
handling. Large amount of data bank is generated with various techniques and processes …
Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review
Abstract System safety, reliability and risk analysis are important tasks that are performed
throughout the system life-cycle to ensure the dependability of safety-critical systems …
throughout the system life-cycle to ensure the dependability of safety-critical systems …
Evolution of safety and security risk assessment methodologies towards the use of bayesian networks in process industries
Process Industries handling, producing and storing bulk amount of hazardous materials are
a major source of concern in terms of both safety and security. Safety and security cannot be …
a major source of concern in terms of both safety and security. Safety and security cannot be …
Uncertainty handling in fault tree based risk assessment: state of the art and future perspectives
Risk assessment methods have been widely used in various industries, and they play a
significant role in improving the safety performance of systems. However, the outcomes of …
significant role in improving the safety performance of systems. However, the outcomes of …
Quantitative risk analysis on leakage failure of submarine oil and gas pipelines using Bayesian network
X Li, G Chen, H Zhu - Process Safety and Environmental Protection, 2016 - Elsevier
Submarine pipeline is the major transportation way of subsea oil and gas production. Due to
the internal and external factor, the failure probability of submarine pipeline is increasing …
the internal and external factor, the failure probability of submarine pipeline is increasing …
Risk assessment on deepwater drilling well control based on dynamic Bayesian network
Z Liu, Q Ma, B Cai, Y Liu, C Zheng - Process safety and environmental …, 2021 - Elsevier
Deepwater drilling involves complex operations and equipment, so it is faced with various
operational challenges including well control accidents. This paper proposes a dynamic risk …
operational challenges including well control accidents. This paper proposes a dynamic risk …
Artificial intelligence techniques and their application in oil and gas industry
Data are being continuously generated from various operational steps in the oil and gas
industry. The recordings of these data and their proper utilization have become a major …
industry. The recordings of these data and their proper utilization have become a major …
Risk coupling analysis of subsea blowout accidents based on dynamic Bayesian network and NK model
Z Liu, Q Ma, B Cai, X Shi, C Zheng, Y Liu - Reliability Engineering & System …, 2022 - Elsevier
Risk analysis of subsea blowout accidents is critical to well control strategies and the overall
safety of offshore drilling operations. Therefore, the interactive relationships among different …
safety of offshore drilling operations. Therefore, the interactive relationships among different …
A multi-criteria decision-making framework for site selection of offshore wind farms in Australia
In addition to the concerns around global climate changes, the population and urbanization
growth have necessitated both academia and industrial sectors to investigate cleaner and …
growth have necessitated both academia and industrial sectors to investigate cleaner and …
The role of machine learning in drilling operations; a review
Drilling problems such as stick slip vibration/hole cleaning, pipe failures, loss of circulation,
BHA whirl, stuck pipe incidents, excessive torque and drag, low ROP, bit wear, formation …
BHA whirl, stuck pipe incidents, excessive torque and drag, low ROP, bit wear, formation …