Rigorous mechanistic models of refining processes are often too complex, which results in long modeling times, low model computational efficiencies, and poor convergence, limiting the application of mechanistic-model-based process optimization and…
Rigorous mechanistic models of refining processes are often too complex, which results in long modeling times, low model computational efficiencies, and poor convergence, limiting the application of mechanistic-model-based process optimization and…
Rigorous mechanistic models of refining processes are often too complex, which results in long modeling times, low model computational efficiencies, and poor convergence, limiting the application of mechanistic-model-based process optimization and…
Big data analysis and cloud computing are gaining much interest in various applications including disaster management. One of the major difficulties in the process of exchanging environmental data in the disaster affected areas has been considered as…
Big data analysis and cloud computing are gaining much interest in various applications including disaster management. One of the major difficulties in the process of exchanging environmental data in the disaster affected areas has been considered as…
This paper presents a novel optimization algorithm for monitoring a complex water pipeline using Wireless Sensor Networks (WSN), in order to solve the trade-off between a timely and accurate detection of a leak, and an efficient utilization of the…
Recently, the big data technology has been applied in many field widely, such as finance, trade and medical healthy. But the applications in process industries are only in the beginning stages. In this paper, the characteristics, analyzing methods…
Big data analysis and cloud computing are gaining much interest in various applications including disaster management. One of the major difficulties in the process of exchanging environmental data in the disaster affected areas has been considered as…
Rigorous mechanistic models of refining processes are often too complex, which results in long modeling times, low model computational efficiencies, and poor convergence, limiting the application of mechanistic-model-based process optimization and…
Rigorous mechanistic models of refining processes are often too complex, which results in long modeling times, low model computational efficiencies, and poor convergence, limiting the application of mechanistic-model-based process optimization and…
This special issue of the IEEE Transactions on Control of Network Systems (TCNS) contains original contributions which identify and solve the emerging challenges in power systems and, more generally, in complex energy networks. Thirty papers were…
Direct load control (DLC) is an important way to achieve energy balance in power-gas coupled systems, but there is in lack of system reliability evaluation method considering the influence of DLC currently. Therefore, a power-gas coupled model based…
Drilling data shows the features of a large number, various types and dispersing. To make drilling decisions, these features can not support the analysis of multidimensional rapidly and effectively. Based on the HADOOP architecture, this paper puts…
Underground strata are reflected in various information sources in petroleum exploration, including good logging and drilling data. Real-time measurement parameters obtained from mud logging can provide data support for the early discovery of oil and…
MapReduce has become the standard model for supporting big data analytics. In particular, MapReduce job optimization has been widely considered to be crucial in the implementations of big data analytics. However, there is still a lack of guidelines…
As the main tool for rock breaking, the bit with features of personalized and high efficiency is more and more popular in different strata, different well sections and different working conditions. By using Intelligent design and manufacturing…
Over the past years, frameworks such as MapReduce and Spark have been introduced to ease the task of developing big data programs and applications. However, the jobs in these frameworks are roughly defined and packaged as executable jars without any…
The electrical power system is one of the largest complex networks, which significantly changes human life and society development. With more than 100 years of development, the modern power system is facing a dramatic innovation recently. Not only it…
Petroleum industry has started to embrace the advanced Petroleum Cyber-Physical System (CPS) technologies. Offshore petroleum CPS is particularly difficult to build, mainly due to the challenge in detecting and preventing offshore oil leaking. During…
As extreme weather events have become more frequent in recent years, improving the resilience and reliability of power systems has become an important area of concern. In this paper, a robust preventive-corrective security-constrained optimal power…
Electrical energy is now the biggest driving force on earth. The dependence and widespread use of electricity has its equivalent pros and cons. Thus modernization of the traditional grid system in order to overcome the major setbacks is the need of…
Grid modernization efforts are on the rise for many utilities in the US with major investments seen in the distribution networks where conventional visibility and control has been scarce. Primary drivers for such investments include the increasing…
The current pricing climate for natural gas and liquid transportation fuels adds a significant amount of uncertainty when designing new natural gas to liquid transportation fuel (GTL) refineries. Robust optimization is a useful tool for optimization…
Natural gas transmission networks (NGTNs) are the main facility connecting upstream gas sources and downstream consumers. For a cyclic NGTN with multiple gas transmission routes, different gas transportation schemes will affect not only the energy…
The layout optimization of oil-gas gathering and transportation system is to minimize the total construction investment of oil-gas pipeline network by using optimization theory. In the process of optimization, it is necessary to collaboratively…
In Thailand, onshore drill cuttings (DC) contaminated with total petroleum hydrocarbon (TPH) are currently transported off-site for incineration, causing high transportation cost and potential leakage to the environment. To address the issues, we…
The paper analyzes the existing methods and tools for removing oil or petroleum products from the water surface as a result of the oil and petroleum product pipeline rupture. The main groups of methods with indication of their main disadvantages are…
The reserve of crude oil in Arctic area is abundant. Ice melting is making it possible to have intermediate access to the Arctic crude oil and its transportation. A novel compositional datas grey model is proposed in this paper to structurally…
The direct conversion of crude oil to light olefins is considered one the cheapest and most reliable sources of petrochemical primary feedstocks. Unlike in the past when refineries operated to produce mainly transportation fuels, such as gasoline and…
Crude oil operations are an important part of petroleum supply chain, including multiple industrial processes such as crude oil procurement, crude oil distribution, crude oil transportation, crude oil storage and crude oil blending in the production…
The import and export of crude oil are vastly affected by the economy of a developing country. It can be useful for the production of petroleum products. Likewise, the developing country, India is completely relying on the import of crude oil from…
Natural gas releases 45–50% less CO2 emissions as compared with coal and the liquefaction process is employed for storage and transport of liquefied natural gas that is an energy-intensive process. Numerous scientific efforts are being directed to…
The key idea is to reduce the Iraqi crude oil viscosity, and enhance its rheological properties during its pipeline transportation at low temperatures. To achieve this objective, four different graphene supercapacitor designs are tested, by the…
Carbon emission has been widely studied in transportation research in general, yet research on carbon emission specifically in hazardous material transportation remains surprisingly limited. This study presents a multi-objective model for locating…
The purpose of this paper is to investigate the role of pipeline arrangement in the oil industry, especially for crude oil transportation. The need often arises for increasing the flow rate per unit pressure drop in pipelines. The usual and most…
The 2019 EU energy security agenda has led to the concept of solidarity: a coordinated response of Member States to “high-impact, low-probability” events jeopardizing the EU energy supply. At the core of this paper is a modeling analysis of storage…
China’s second offshore natural gas hydrate production reveals the urgency and potential demand for ship-based gas storage and transportation technology. Three possible gas storage processes including hydrate-based natural gas (HNG), pressurized…
CO2 removal in raw natural gas is required to meet the sale gas specifications. The chemical solvent absorption method is one of the most commonly used technologies. The absorption-based processes, however, require an enormous amount of energy to…
The advantages of natural gas based power plants (NGPPs) have propelled the demand of natural gas as a preferred fuel for power generation [7]. With increase in NGPP consumption, the importance of interdependence between electricity and natural gas…
In the later stage of development of Dagang Oilfield, many problems, such as inadaptable process, severe corrosion of equipment, high energy consumption and high maintenance cost, have been presented in the oilfield surface system. Through the…
With the increasing global demands for energy, fuel supply management is a challenging task of todays industries in order to decrease the cost of energy and diminish its adverse environmental impacts. To have a more environmentally friendly fuel…
Light alkanes from shale resources can potentially be converted to an easy-to-transport liquid hydrocarbon product by catalytic dehydrogenation followed by catalytic oligomerization. The chemical species in the liquid product and their concentrations…
The aim of the paper is to describe the possibilities of using various modeling techniques, such as real time transient model, online look-ahead model and some offline calculations for operational planning. Short time horizon of one or two days is…
In a liquefied natural gas (LNG) receiving terminal, the recirculation flow rate and the branch flow rate entering the tank are important operating parameters that affect the amount of produced boil-off gas (BOG) in the system. However, the operating…
Power systems are exceedingly faced with extreme events such as natural disasters and deliberate attacks. In comparison, the underground natural gas system is considered less vulnerable to such extreme events. We consider that the overhead power grid…
Clean energy resources, like wind, have a stochastic nature, which involves uncertainties in the power system. Introducing energy storage systems (ESS) to the network can compensate for the uncertainty in wind plant output and allow the plant to…
This work introduces a mixed-integer nonlinear programming (MINLP) formulation for the efficient planning of crude oil supplies to a major refinery, through a long-distance pipeline. The proposed approach combines the potentials of slot-based and…
Due to advances in hydraulic fracturing and horizontal drilling, the abundance of inexpensive natural gas has revolutionized the energy industry. As the world population increases, natural gas will play a prominent role in satisfying new energy…
The advance of the dynamic wireless charging technique for electric vehicles makes the electrified transportation system to be the development trend. On the other hand, the interdependency between electricity and natural gas systems has been…