This paper proposes a systemic framework for dynamic safety risk analysis for natural gas pipeline leakage in a utility tunnel, which merges the bow-Tie model (BT), Bayesian network (BN), and fuzzy set theory (FST) combined with monitoring data.…
In recent years, the global demand for liquefied natural gas (LNG) as an energy source is increasing at a very fast rate. In order to meet this demand, a large number of facilities such as platforms, FPSO (floating production, storage and…
In recent years, the global demand for liquefied natural gas (LNG) as an energy source is increasing at a very fast rate. In order to meet this demand, a large number of facilities such as platforms, LNG-FPSO's, floating storage and regasification…
In order to solve the problem of unclear evolution paths after oil-gas storage and transportation accidents, which lead to a lack of targeted accident emergency, delayed disposal measures, and further deterioration of the accident, based on the…
Cascading failure has a great negative impact on the operation of multilevel systems. Although the frequency of this kind of failure is lower than that of general failure, it may cause outage and considerable human and economic losses. In this paper,…
This paper takes the safety in emergency processes as the starting point, from the perspective of scenario deduction, to study the consequences of fire accidents for oil-gas storage and transportation. Through the statistical analysis of actual…
The terrorist attack on the Abqaiq oil plant in Saudi Arabia on September 14, 2019 attracted global attention to the significant role of safety and security in the sustainable oil and gas supply chain and the vulnerability of supply infrastructures…
The prospects for CO2 sequestration in depleted shale gas formations are widely studied. Reported studies offer quantitative predictions of ultimate storage capacity as well as CO2 injection rate for a typical injection site or on an areal basis.…
This paper takes the safety in emergency processes as the starting point, from the perspective of scenario deduction, to study the consequences of fire accidents for oil-gas storage and transportation. Through the statistical analysis of actual…
The semi-submersible production platform in the Lingshui 17-2 Gas Field of the northern South China Sea is the first domestic deepwater semi-submersible production platform (water depth 1 500 m) with high-volume condensate oil stored in the vertical…
Natural gas is an important source of energy in the global economy, hence understanding the drivers of its prices is of significant interest for economic agents. This paper investigates the role of structural shocks for the dynamics of the U.S.…
Brazilian presalt carbonate reservoirs are highly heterogeneous. This feature is mostly justified by the nature of the original depositional system and subsequently diagenetic processes. Consequently, reserve estimates and production forecasting are…
In this study, we propose algorithms to predict future stock market trends based on 8 different input features, including financial technology indicators, gold prices, a gold price volatility index, crude oil price, a crude oil price volatility…
In seismic exploration, the wavelet-filtering effect and Q-filtering (amplitude attenuation and velocity dispersion) effect blur the reflection image of subsurface layers. Therefore, both wavelet- and Q-filtering effects should be reduced to retrieve…
Decision on a strategy for effective predictive Reliability, Availability, Maintainability and Safety (RAMS), by the application of Bayesian networks, while ensuring a better preserving of the operators and installation safety in its entirety. A…
Mounting evidence suggests that the brain works in a Bayesian way. Probabilistic inference models based on Bayesian theory have been widely applied in human memory modeling, such as search of associative memory (SAM) and retrieving effectively from…
This paper presents the design of soft sensors for estimation of froth quality in oil sands extraction processes. One of the most important quality indexes for bitumen froth is the water content. Due to the variations of oil sands compositions and…
For large-scale process monitoring, traditional decentralized monitoring methods fail to discriminate real faults from normal operation deviations. This paper proposes a novel decentralized method for monitoring large-scale industrial processes by…
Deep learning technology can fit the nonlinear relations between different logging sequences. It solves the prediction problems that cannot be effectively disposed by traditional physical or empirical models. However, these deep learning models lack…
Natural gas is an important source of energy in the global economy, hence understanding the drivers of its prices is of significant interest for economic agents. This paper investigates the role of structural shocks for the dynamics of the U.S.…
In the vulnerability analysis, correlations among failure modes have significant effects on the estimation of failure probabilities. However, the failure modes were assumed to be independent with each other or only parts of dependencies of failure…
In this study, we empirically investigate whether or not the conventional belief that new information about fundamental value is revealed in the futures market ahead of the spot market is applicable to four important storable energy commodities, oil,…
In recent years, domino effect accidents and domino effect prediction have been intensively studied by the scientific community. The reason for this is the serious impact of these phenomena on people, the environment, the economy, and society as…
Corrosion is a threat to asset integrity, with engineering challenges and economic burdens. Since the last decade, microbiologically influenced corrosion (MIC) began to be recognized among corrosion professionals as a severe corrosion form. It is…
This paper examines the advantages and drawbacks of alternative methods of estimating oil supply and oil demand elasticities and of incorporating this information into structural VAR models of the global oil market. I show that some of these…
High strength steels such as X80 steels have recently been used more frequently in production of offshore structures. However, they may still be subject to degradation processes such as corrosion considering the conditions in marine environment.…
Leakage is a significant threat to gas pipeline reliability, causing serious safety incidents such as fire and explosion, which is determined by the leakage rate. Leakage rate estimation are critical to predict leakage level and take effective…
The terrorist attack on the Abqaiq oil plant in Saudi Arabia on September 14, 2019 attracted global attention to the significant role of safety and security in the sustainable oil and gas supply chain and the vulnerability of supply infrastructures…
The industrial revolution has brought about great development in the economy, but it has also increased the dependence on fossil energy. The emissions of CO2 and other greenhouse gases have contradicted economic development and the ecological…
The oil and gas supply chain (OGSC) is considered to have one of the most significant stakes in the U.S. economy because of its interconnectedness with supply chains in other sectors, such as health and medicine, food, heavy manufacturing, and…
In recent years, with the increasing demand for liquefied natural gas (LNG) worldwide, a large amount of LNG is stored, processed, and transported in ports. The port's LNG storage tanks may become a hot target for terrorist attacks because the…
Life and property losses along environmental pollution caused by accidents in the transportation of hazardous goods have raised serious concerns over the efficient handling of hazardous cargo vessels in a port environment. Very few studies have…
Coastal communities are vulnerable to the consequences of disasters such as hurricanes, earthquakes and tsunamis. Often, such communities are heavily dependent on maritime transportation for the ingress of essential goods such as food, fuel, and…
In the system reliability evaluation of the process industries, it is sometimes difficult to get precise and sufficient failure data of system components utilized to calculate the failure probability. In this study, a Noisy-OR gate Bayesian network…
The present study investigates the environmental benefits of phasing-in autonomous ships in global maritime transportation along major dry bulk and tanker routes using Bayesian probabilistic forecasting algorithm. The focus is on the simulations and…
This paper takes the safety in emergency processes as the starting point, from the perspective of scenario deduction, to study the consequences of fire accidents for oil-gas storage and transportation. Through the statistical analysis of actual…
Natural gas is an important source of energy in the global economy, hence understanding the drivers of its prices is of significant interest for economic agents. This paper investigates the role of structural shocks for the dynamics of the U.S.…
The terrorist attack on the Abqaiq oil plant in Saudi Arabia on September 14, 2019 attracted global attention to the significant role of safety and security in the sustainable oil and gas supply chain and the vulnerability of supply infrastructures…
Frequent mine gas incident in China fully shows there must be many undiscovered essential factors in all previous gas incident investigations. Exploring a new analysis approach is vital to prevent and control mine gas emergency. A Bayesian…
Decision on a strategy for effective predictive Reliability, Availability, Maintainability and Safety (RAMS), by the application of Bayesian networks, while ensuring a better preserving of the operators and installation safety in its entirety. A…
The rising demand for Natural Gas (NG) in India, a developing country, necessitates adequate, uninterrupted and safe transmission and distribution of the gas to consumers at various points within the country. Though pipelines are considered as the…
The frequency of occurrences per facility-year, their probabilities, and their uncertainties are critical inputs to hazard and risk management plans for underground storage facilities. We used Bayesian analysis to investigate and quantify the…
The frequency of occurrences per facility-year, their probabilities, and their uncertainties are critical inputs to hazard and risk management plans for underground storage facilities. We used Bayesian analysis to investigate and quantify the…
Hurricane as one of the most destructive natural hazards can make a devastating impact on the industrial equipment, especially atmospheric storage tanks, leading to the release of stored chemicals and disastrous safety and environmental issues. These…
Corrosion is a significant concern causing tremendous losses to all pipeline operators. To combat this operational issue, new methods and tools are needed to analyze and model degradation, to predict failure, and finally to develop strategies for…
The terrorist attack on the Abqaiq oil plant in Saudi Arabia on September 14, 2019 attracted global attention to the significant role of safety and security in the sustainable oil and gas supply chain and the vulnerability of supply infrastructures…
This paper aims to identify the risks influencing oil and gas (O&G) pipeline safety caused by third-party damage (TPD). After comprehensive literature study, we found that the traditional risk identification of TPD suffers from defining binary states…
A utility tunnel typically houses various types of urban lifelines. As one of the assembled pipelines in a utility tunnel, the sewer pipeline is of great importance for city life. For example, leakage of toxic and combustible gases and a subsequent…
Failures of urban buried gas pipelines have caused significant fire and explosion accidents with tremendous losses. This work presents an advanced two-step approach to analyze failure probabilities of the urban buried gas pipeline. First, a logical…
Gas pipelines are complex and sensitive structures within gas systems. Gas pipeline networks encompass mainly compression stations and pipelegs. Compressor stations, on the other hand, includes several compression units installed, in most cases, in…