Browse Items (72 total)

  • Tags: Accident prevention

Inspection interval of safety valves is generally at least once a year specified by the Safety Technical Supervision Regulations for Safety Valves (TSG ZF001-2006) in China, while the maintenance interval of production equipment in oil refining and…

HSE (Health, Safety, and Environment) management is one of the most concerned matters of every business, especially in petroleum Industry. Currently, analyzing the origin of accident and tracing the responsibility of accident commonly happened after…

Big data refers to store, manage, analyze, and process efficiently a huge amount of datasets and to distribute it. Recent advancements in big data technologies include data recording, storage, and processing, and now big data is used in the refinery…

Due to the potential severity of oil and gas pipeline accidents, accurate assessments on the reliability and viability of pipelines in the petroleum industry is of paramount importance. Nevertheless, the safety factor (SF) parameter in some…

Inspection interval of safety valves is generally at least once a year specified by the Safety Technical Supervision Regulations for Safety Valves (TSG ZF001-2006) in China, while the maintenance interval of production equipment in oil refining and…

This paper reviews the utilization of Big Data analytics, as an emerging trend, in the upstream and downstream oil and gas industry. Big Data or Big Data analytics refers to a new technology which can be employed to handle large datasets which…

HSE (Health, Safety, and Environment) management is one of the most concerned matters of every business, especially in petroleum Industry. Currently, analyzing the origin of accident and tracing the responsibility of accident commonly happened after…

Big data refers to store, manage, analyze, and process efficiently a huge amount of datasets and to distribute it. Recent advancements in big data technologies include data recording, storage, and processing, and now big data is used in the refinery…

Due to the potential severity of oil and gas pipeline accidents, accurate assessments on the reliability and viability of pipelines in the petroleum industry is of paramount importance. Nevertheless, the safety factor (SF) parameter in some…

This paper reviews the utilization of Big Data analytics, as an emerging trend, in the upstream and downstream oil and gas industry. Big Data or Big Data analytics refers to a new technology which can be employed to handle large datasets which…

Inspection interval of safety valves is generally at least once a year specified by the Safety Technical Supervision Regulations for Safety Valves (TSG ZF001-2006) in China, while the maintenance interval of production equipment in oil refining and…

This paper is devoted to the analysis of the multidisciplinary problems of the big data technology in the oil and gas industry. Application capabilities of big data technologies in issues such as reducing the exploitation risks, crude oil price…

HSE (Health, Safety, and Environment) management is one of the most concerned matters of every business, especially in petroleum Industry. Currently, analyzing the origin of accident and tracing the responsibility of accident commonly happened after…

Big data refers to store, manage, analyze, and process efficiently a huge amount of datasets and to distribute it. Recent advancements in big data technologies include data recording, storage, and processing, and now big data is used in the refinery…

In the recent past, there has been cases of carbon dioxide leak related incidents and casualties. Carbon dioxide has been recognized as a significant worthy hazard in the industrial environment for about 100 years. low concentrations of carbon…

Due to the potential severity of oil and gas pipeline accidents, accurate assessments on the reliability and viability of pipelines in the petroleum industry is of paramount importance. Nevertheless, the safety factor (SF) parameter in some…

With the drilling and completions industry constantly changing, salt water disposal well (SWD) evaluation has become increasingly more challenging. By looking at water production and disposal problems using big data analytics, a better evaluation is…

The management of hot work is the key element of petroleum refinery safety management. A large amount of hot-work data has been accumulated, which is underexploited. Driving new insights using big data analytics is the trend. However, there have been…

This paper is devoted to the analysis of the multidisciplinary problems of the big data technology in the oil and gas industry. Application capabilities of big data technologies in issues such as reducing the exploitation risks, crude oil price…

The Oil and Gas (O&G) industry is embracing modern and intelligent digital technologies such as big data analytics, cloud services, machine learning etc. to increase productivity, enhance operations safety, reduce operation cost and mitigate adverse…

This paper reviews the utilization of Big Data analytics, as an emerging trend, in the upstream and downstream oil and gas industry. Big Data or Big Data analytics refers to a new technology which can be employed to handle large datasets which…

In the recent past, there has been cases of carbon dioxide leak related incidents and casualties. Carbon dioxide has been recognized as a significant worthy hazard in the industrial environment for about 100 years. low concentrations of carbon…

With the drilling and completions industry constantly changing, salt water disposal well (SWD) evaluation has become increasingly more challenging. By looking at water production and disposal problems using big data analytics, a better evaluation is…

It is well known that corrosion drastically shortens the lifespan of pipelines. Pipe wall thinning and leakage due to corrosion are important safety concerns for pipes used in oil, petrochemical, and power plant industries. Cross-sectional…

The management of hot work is the key element of petroleum refinery safety management. A large amount of hot-work data has been accumulated, which is underexploited. Driving new insights using big data analytics is the trend. However, there have been…

The Oil and Gas (O&G) industry is embracing modern and intelligent digital technologies such as big data analytics, cloud services, machine learning etc. to increase productivity, enhance operations safety, reduce operation cost and mitigate adverse…

This paper is devoted to the analysis of the multidisciplinary problems of the big data technology in the oil and gas industry. Application capabilities of big data technologies in issues such as reducing the exploitation risks, crude oil price…

It is well known that corrosion drastically shortens the lifespan of pipelines. Pipe wall thinning and leakage due to corrosion are important safety concerns for pipes used in oil, petrochemical, and power plant industries. Cross-sectional…

Safety enhancement is the priority of every organization. Annually millions of dollars are spent to develop procedures and practices to diminish the health, safety and environmental disasters. Monitoring incidents and hazards and performing timely…

Despite considerable effort and a broad range of new approaches to safety management over the years, the upstream oil & gas industry has been frustrated by the sector's stubbornly high rate of injuries and fatalities. This short communication points…

Providing quick response time and accurate detection of small leaks in multiphase pipelines is of great importance for risk mitigation in the oil and gas industry. The emphasis of implementing state-of-the-art technologies to mitigate both safety and…

In the recent past, there has been cases of carbon dioxide leak related incidents and casualties. Carbon dioxide has been recognized as a significant worthy hazard in the industrial environment for about 100 years. low concentrations of carbon…

With the drilling and completions industry constantly changing, salt water disposal well (SWD) evaluation has become increasingly more challenging. By looking at water production and disposal problems using big data analytics, a better evaluation is…

The management of hot work is the key element of petroleum refinery safety management. A large amount of hot-work data has been accumulated, which is underexploited. Driving new insights using big data analytics is the trend. However, there have been…

The Oil and Gas (O&G) industry is embracing modern and intelligent digital technologies such as big data analytics, cloud services, machine learning etc. to increase productivity, enhance operations safety, reduce operation cost and mitigate adverse…

Safety enhancement is the priority of every organization. Annually millions of dollars are spent to develop procedures and practices to diminish the health, safety and environmental disasters. Monitoring incidents and hazards and performing timely…

Despite considerable effort and a broad range of new approaches to safety management over the years, the upstream oil & gas industry has been frustrated by the sector's stubbornly high rate of injuries and fatalities. This short communication points…

Providing quick response time and accurate detection of small leaks in multiphase pipelines is of great importance for risk mitigation in the oil and gas industry. The emphasis of implementing state-of-the-art technologies to mitigate both safety and…

Inspection interval of safety valves is generally at least once a year specified by the Safety Technical Supervision Regulations for Safety Valves (TSG ZF001-2006) in China, while the maintenance interval of production equipment in oil refining and…

HSE (Health, Safety, and Environment) management is one of the most concerned matters of every business, especially in petroleum Industry. Currently, analyzing the origin of accident and tracing the responsibility of accident commonly happened after…

Big data refers to store, manage, analyze, and process efficiently a huge amount of datasets and to distribute it. Recent advancements in big data technologies include data recording, storage, and processing, and now big data is used in the refinery…

Due to the potential severity of oil and gas pipeline accidents, accurate assessments on the reliability and viability of pipelines in the petroleum industry is of paramount importance. Nevertheless, the safety factor (SF) parameter in some…

This paper reviews the utilization of Big Data analytics, as an emerging trend, in the upstream and downstream oil and gas industry. Big Data or Big Data analytics refers to a new technology which can be employed to handle large datasets which…

This paper is devoted to the analysis of the multidisciplinary problems of the big data technology in the oil and gas industry. Application capabilities of big data technologies in issues such as reducing the exploitation risks, crude oil price…

Inspection interval of safety valves is generally at least once a year specified by the Safety Technical Supervision Regulations for Safety Valves (TSG ZF001-2006) in China, while the maintenance interval of production equipment in oil refining and…

HSE (Health, Safety, and Environment) management is one of the most concerned matters of every business, especially in petroleum Industry. Currently, analyzing the origin of accident and tracing the responsibility of accident commonly happened after…

Big data refers to store, manage, analyze, and process efficiently a huge amount of datasets and to distribute it. Recent advancements in big data technologies include data recording, storage, and processing, and now big data is used in the refinery…

Due to the potential severity of oil and gas pipeline accidents, accurate assessments on the reliability and viability of pipelines in the petroleum industry is of paramount importance. Nevertheless, the safety factor (SF) parameter in some…

Safety of any energy storage technology is a key attribute for all existing power plants and energy storage utilities. Another no less important area is the storage of energy in biogas plants where gas formation is time-dependent. Accumulation of…

Big data refers to store, manage, analyze, and process efficiently a huge amount of datasets and to distribute it. Recent advancements in big data technologies include data recording, storage, and processing, and now big data is used in the refinery…
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