In this paper, an in-depth study on the quantification of influencing factors and big data visualization of key monitoring indicators in the refined oil products market is carried out through fuzzy mathematical methods, and a system for quantifying…
This paper reports the development and tests of an advance methodologies to predict Upstream plant risky events, such as flaring, applying an integrated framework. The core idea is to exploit Machine Learning and big data analytics techniques to…
In this paper, an in-depth study on the quantification of influencing factors and big data visualization of key monitoring indicators in the refined oil products market is carried out through fuzzy mathematical methods, and a system for quantifying…
Intelligent transportation systems (ITS) typically rely on massive sources of data to monitor the transportation system, estimate its current state, forecast its future state, and react with a set of control and management strategies in real time.…
This paper reports the development and tests of an advance methodologies to predict Upstream plant risky events, such as flaring, applying an integrated framework. The core idea is to exploit Machine Learning and big data analytics techniques to…
Intelligent transportation systems (ITS) typically rely on massive sources of data to monitor the transportation system, estimate its current state, forecast its future state, and react with a set of control and management strategies in real time.…
In this paper, an in-depth study on the quantification of influencing factors and big data visualization of key monitoring indicators in the refined oil products market is carried out through fuzzy mathematical methods, and a system for quantifying…
This paper reports the development and tests of an advance methodologies to predict Upstream plant risky events, such as flaring, applying an integrated framework. The core idea is to exploit Machine Learning and big data analytics techniques to…
Intelligent transportation systems (ITS) typically rely on massive sources of data to monitor the transportation system, estimate its current state, forecast its future state, and react with a set of control and management strategies in real time.…
Terabytes of data are being collected every day in the oilfield. Intuition suggests that the more data the better and that if a little bit of information is valuable, then a lot must be incredibly more so. And yet, is it? It is not the data itself,…
Air pollution is a severe health issue in today's contemporary world. In India, at least 40 million people breathe unsafe air (i.e. 10 times or more over the WHO safe limits). The main sources of air pollution are well known - emissions are from cars…
Terabytes of data are being collected every day in the oilfield. Intuition suggests that the more data the better and that if a little bit of information is valuable, then a lot must be incredibly more so. And yet, is it? It is not the data itself,…
Air pollution is a severe health issue in today's contemporary world. In India, at least 40 million people breathe unsafe air (i.e. 10 times or more over the WHO safe limits). The main sources of air pollution are well known - emissions are from cars…
In recent years, the application of Big Data technologies and associated analytics has enjoyed significant attention and has seen an enormous growth in the oil industry. This is due to exponential growth of both historical and real-time data being…
In this paper, an in-depth study on the quantification of influencing factors and big data visualization of key monitoring indicators in the refined oil products market is carried out through fuzzy mathematical methods, and a system for quantifying…
This paper reports the development and tests of an advance methodologies to predict Upstream plant risky events, such as flaring, applying an integrated framework. The core idea is to exploit Machine Learning and big data analytics techniques to…
Intelligent transportation systems (ITS) typically rely on massive sources of data to monitor the transportation system, estimate its current state, forecast its future state, and react with a set of control and management strategies in real time.…
In this paper, an in-depth study on the quantification of influencing factors and big data visualization of key monitoring indicators in the refined oil products market is carried out through fuzzy mathematical methods, and a system for quantifying…
This paper reports the development and tests of an advance methodologies to predict Upstream plant risky events, such as flaring, applying an integrated framework. The core idea is to exploit Machine Learning and big data analytics techniques to…
Despite the fact that pipelines remain the safest means of oil and gas transportation, incidents still persist and pipeline acceptance from the public has become compromised. In an attempt to address this growing problem, a novel pipeline system is…
Regardless of the failure in the power system or in the natural gas system, it will threaten the operation of the integrated electricity and gas energy systems. In view of the lack of current research on the unified identification of the fault in the…
The combination of big data industry and traditional fishery can greatly promote the level of fishery modernization. This paper mainly analyzes the development status of domestic and international fishery internet of things and big data industry, the…
A review of corrosion monitoring and inspection technologies is presented including descriptions of the available techniques and examples of their application in various industries. The advantages of online corrosion monitoring and inspection are…
Corrosion can cause serious damage, which leads to large economic loss, sometimes combined with environmental pollution, or risk of personnel injuries. Today, corrosion has a far-reaching impact on society and the associated degradation of materials,…
Internal corrosion due to under deposit corrosion (UDC) is responsible for at least 20% of incidents in the oil and gas industry. As a result, over the past decade, UDC has received much attention from researchers, corrosion technologists, and…
Wireless Sensor Networks (WSNs) involve top potential technologies that will dramatically change the way of human living and working. Many scientific, industrial and environmental applications require real time information related to physical events…
The oil and gas industrial sector is nowadays inclined towards utilizing smart field technologies for optimizing various operations of upstream, midstream and downstream sectors. The recent advances in Internet of things (IoTs) have promising…
Corrosion monitoring and early detection of pits and wall thinning for casing pipes are considerably important to gas and petroleum industries since the frequently occurring corrosion at the internal or external parts of those steel casing pipes used…
Steel casing pipes used in underground gas storage or in oil fields are subjected to corrosion. Corrosion frequently causes some pitting or wall thinning to the internal or external of casing pipes. More serious corrosion would form holes on the…
Within any country, the safety of the citizens is a major concern. Since LPG is highly flammable and can create dangerous situations in life. To avoid such situations, this system modifies the existing safety system of LPG leakage detection. The…
Hydrogen sulfide (h2s) leakage and dispersion from a sulfide recycle installation in different wind speeds are simulated by implementing a 3D Computational Fluid Dynamics (CFD) model. h2s concentrations of monitor points which represent dispersion…
The control and managing of pipelines have been assuming a major importance for all kinds of fluids to be conveyed through. When the fluid is like oil, harmful liquid and/or water for human beings necessity, the monitoring of pipelines becomes…
The paper deals with the comparison of different mathematical models with regard to their usage in the model-based leak-monitoring scheme. The pipeline is represented as a two-port system. Three models are compared: a nonlinear distributed parameters…
The presented initiative aims at the development of a low cost and low energy wireless sensor system for the immediate detection of leaks in metallic piping systems for the transport of liquid and gaseous petroleum products in a noisy industrial…
One of the crucial and challenging issue with the use of Wireless Sensor Network (WSN) for monitoring pipelines, detecting and locating leaks is that of energy saving. With the use of real-time acquisition using heterogeneous sensors, communication…
The problem of gas leakage and fire is often encountered in our day-to-day life. LPG, Liquified Petroleum Gas, is highly flammable gas used as fuel in heating appliances. Leakage of this gas raises the risk of building fire, suffocation or an…
In this paper, we have proposed a Liquefied Petroleum Gas (LPG) monitoring and leakage detection system. With the large demand and use of LPG, this system would be helpful to monitor the usage of LPG on a regular basis and to alert about any hazards…
Through a comprehensive and aggressive research program, the Consolidated Edison Company of New York, Inc. (Con Edison) has designed, developed and installed several new products to address the environmental impact of leaked dielectric fluid from…
Monitoring oil transporting pipelines is an important task for economical and safe operation, loss prevention, and environmental protection from crude oil emission. The leak detection of oil pipelines, therefore, plays a key role in the overall…
The pipeline leakage problem is a very challenging and critical issue. Solving this problem will save the nation a lot of money, resources and more importantly, it will save the environment. This paper discusses the state of the art of leak detection…
An overview of classical leak detection systems is given and the engineering basis of a novel type of detector is examined. This system is a flexible hydrocarbon-sensing cable that can be installed along pipelines, in double-containment tanks and…
The performance monitoring of energy storage pipelines has been investigated using efficient optical strain sensors. Leakage and corrosion are major hazard that occur in underground energy storage pipelines due to cracks, drilling, geohazards and…
Pipeline leak detection has attracted great research interests for years in the energy industry. Continuous pressure monitoring is one of the most straightforward approaches in leak detection which utilizes pressure point analysis (PPA) algorithms to…
Wireless sensor networks (WSN) provide a powerful solution to the task of monitoring the operational conditions of buried and non-buried pipes of different lengths and materials. Due to the limited energy stored in the sensor nodes, the use of…
With the development of science and technology, the Internet of things technology has been gradually applied to various fields, it has become one of hot spot after the computer, the Internet and mobile communication technology. This paper focuses on…
Air pollution is a severe health issue in today's contemporary world. In India, at least 40 million people breathe unsafe air (i.e. 10 times or more over the WHO safe limits). The main sources of air pollution are well known - emissions are from cars…
In recent times the oil and gas industry is following the trend of digital transformation. The digital transformation includes implementing innovative solutions to improve and control the assets of the Oil and Gas companies with more reliable and…
This paper presents an automated monitoring solution for the process of transportation crude oil and petroleum products through pipelines. The proposed system has a hierarchical, partially distributed architecture, based on microcontrollers systems…
The petroleum products leakage from the storage tank bottom could not be discovered in time without store contents emptied out because of the bottom not being accessed easily and the amount of leakage in the beginning being too small to be detected…
As energy systems transition towards decarbonization, natural gas is expected to play an important role as a cleaner hydrocarbon fuel source to bridge the gap between renewable energy production and increasing energy demand. Regulations aim to reduce…