This paper examines the determinants of carbon price in Hubei carbon market using VECM model. Six factors from three dimensions (international carbon price, energy price and exchange rate) are taken into account, both cointegration test and impulse…
In recent years, polymer flooding has become a mature technology to improve the reservoir recovery rate and has been successfully implemented in many oil fields. Because of high operating costs of a polymer flooding project and the impact to the…
One of the most important tools for studying fluid flow behavior in oil and gas reservoirs is reservoir simulation. It is constructed based on a comprehensive geological information. A comprehensive numerical reservoir model has tens of millions of…
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…
Based on the big data theory and data mining of gas pipeline failure history, the key factors determining the safety of pipeline system are found out, such as probability, function, time and prescribed conditions. Based on the reliability principle,…
Machine learning is becoming prevalent increasingly for reservoir characteristics analysis in the petroleum industry. This investigation proposes an alternative way for evaluating interwell connectivity in oil fields utilizing machine learning. In…
Big data analytics (BDA) applications are software applications that process huge amounts of data using large-scale parallel processing infrastructure to obtain hidden value. Hadoop is the most mature open source BDA processing framework, which…
Oil and gas pipeline integrity management has always been a field of huge data accumulation. In recent years, the rise of big data technology has provided new ideas for pipeline integrity evaluation technology. Firstly, this paper systematically…
In order to put an end to rampancy rob oil, reduce losses and protect normal work of oil management department, it is necessary to detect the occurrence of leak immediately and locate the exact leak position. For negative pressure cause by leak will…
Pipeline systems are widely applied in the areas of power, chemistry and petroleum. Model-based leak detection methods for the pipeline systems get more and more attentions. Among these model-based methods, the state observer and state feedback based…
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…
Leakage is the most important factor for unaccounted losses in any pipe network around the world. However, most state-of-the-art leak detection systems have limited applicability, lack in reliability and depend on user experience for data…
Based on inverse hydraulic-thermodynamic transient analyses and on an improved particle swarm optimization (PSO), a leak detection and localization method is proposed for liquid pipelines. The finite volume method is employed to numerically model the…
Pipelines are one of great important components for gas and petrochemical industries. Normally, they are used to transport gas by hundreds or even thousands of miles. It is a momentous task to keep the gas pipeline under safety operation. Leak…
The monitoring of oil pipeline is an important task for economical and safe operation, loss prevention and environmental protection from crude oil emission. A leak detection of oil pipeline, therefore, plays a key role in the overall integrity…
The fluid behavior in a pipeline of Liquefied Petroleum Gas (LPG)-according to the principles of conservation of mass and momentum-is governed by a set of Partial Differential Equations (PDE). In this work, such equations are modified with the…
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…
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…
The increasing penetration of behind-the-meter distributed energy resources opens up opportunities to improve distribution grids’ resilience and reliability. In this context, the paper studies islanded operation of radial low-voltage (LV)…
The resilience and reliability of modern power systems are threatened by increasingly severe weather events and cyber-physical security events. An effective restoration methodology is desired to optimally integrate emerging smart grid technologies…
Opting for a multiphase electrical machine may provide, in several industrial cases, significant benefits in terms of performance, resilience and reliability. The interest in multiphase topologies is recently increasing due to the trend for more…
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…
The article presents the approach to modelling the global natural gas market. As endogenous variables of the model, evaluating the world market, three variables are selected: world exports, world natural gas production, world market natural gas…
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…
Crude oil transportation is a central logistics operation in petrochemical industry because its cost represents a significant part in the cost of petrochemical products. In this paper, we consider the transportation by tankers or trucks. We show that…
The natural gas network is important for residential heating, industrial manufacturing, and electricity generation. Although it is reliable and resilient to local disruptions, extreme situations, such as natural disasters and political conflicts, can…
Electrical energy source in Malaysia is commonly from by fossil fuel such as coal, petroleum, LNG, LPG, kerosene, etc. However, these unrenewable sources of energy are neither economical nor favorable to the environment. Even though Malaysia produces…
Using nitrogen as the blanket for the construction of a gas storage salt cavern by the solution mining under gas (SMUG) method has many advantages, such as improved safety, enhanced environmental protection and better economy. A critical issue for…
With a combinatorial nature and hybrid characteristics, it is very challenging to schedule crude oil operations in a refinery and, up to now, there is no software tool for practical use in this field. To solve this problem, based on the two-level…
A new direction of researches is the development of the methods to find effective technologies for natural gas processing. The practical interest to this researches is stimulated by the current situation when the degree of natural gas processing in…
Because of the complexity of the propagation path and high attenuation near the ground surface, during the process of micro-seismic monitoring, compared with the down well monitoring, the information obtained by the ground monitoring contains lower…
Accurate and reliable measurement of oil, gas and water flow rates as they flow along a pipe as a mixture continues to be a challenging problem in the oil and gas industry. Most of the solutions rely on radioactive sources. This paper explores the…
The actual refining processes exist delays and the control effect is sensitive to the disturbance and the model mismatch, which are likely the reasons of control failure. Motivated by this problem, a feedforward decoupling dynamic matrix control with…
In this paper, an artificial bee colony algorithm with tree- seed searching (tsABC) is proposed for modeling multivariable systems using GRNN. In the tsABC, the local search operator of tree-seed algorithm is added to the onlooker bee phase of ABC.…
The research performed in this work are aimed at the optimization of technological mode to increase the yield of light fractions (gasoline and diesel) in the catalytic cracking of vacuum distillate taking into account feedstock composition. The…
THE PETROLEUM and natural gas industries utilize fractionating columns to separate hydrocarbons of high volatility from hydrocarbons of low volatility. Each column, or tower, is a type of equipment which permits a liquid stream to cascade down over a…
Evidential reasoning (ER) rule has been widely used in dealing with uncertainty. As an important parameter to measure the inherent property of evidence, the evidence reliability makes the ER rule constitute a generalized reasoning framework. In…
The aggravation of global energy crisis and environmental pollution impels people to speed up the research of energy utilization. The multi-carrier energy system (MES) can greatly improve the energy utilization efficiency, the construction of Energy…
Given its physical characteristics and the range of services that it can provide, energy storage raises unique modeling challenges. This paper summarizes capabilities that operational, planning, and resource-adequacy models that include energy…
Given that the capital cost of energy storage systems is still high, the concept of energy sharing attracts more attention. In this article, an energy sharing model in the forms of hydrogen and electricity is proposed. In this integrated sharing…
This study proposes an optimized model of a micro-energy network (MEN) that includes electricity and natural gas with integrated solar, wind, and energy storage systems (ESSs). The proposed model is based on energy hubs (EHs) and it aims to minimize…
The micro turbine (MT) is scheduled to catch up wind power uncertainty and thus lead to great variations in the state of natural gas system (NGS). To meet this challenge, firstly, a dynamic model of gas-electricity combined system with wind power is…
To improve the resilience of distribution networks (DNs), a multi-stage dynamic recovery strategy is proposed in this paper, which is designed for post-disaster DN considering an integrated energy system (IES) and transportation network (TN). First,…
We formulate a nonlinear optimal control problem for intraday operation of a natural gas pipeline network that includes storage reservoirs. The dynamics of compressible gas flow through pipes, compressors, reservoirs, and wells are considered. In…
We propose a multi-case, multi-period AC model to coordinate the procurement of grid services from an aggregation of connected distributed energy resources and microgrids. The proposed model aggregates the capabilities of all resources in the system…
Today's smart grid faces many challenges due to the rapid evolution of generation, distribution, and storage means which enable users to produce, store, and sell energy back to the providers. Demand response management plays a key role in achieving…
With the improvement of Micro-Electro-Mechanical Systems(MEMS), which include miniature structure, miniature sensor, actuator, control circuit, communication, and power supply in one or more chips, the Functionally Graded Materials (FGMs) gradually…
Pipeline systems are safe and economic infrastructures for transporting gas and oil. However, leakage failure is the most common problem encountered with the use of pipeline and affects operation. The accuracy in locating a leakage point…
Electrical energy source in Malaysia is commonly from by fossil fuel such as coal, petroleum, LNG, LPG, kerosene, etc. However, these unrenewable sources of energy are neither economical nor favorable to the environment. Even though Malaysia produces…
Ukraine Power Sector is facing the dramatic challenge - a necessity to essentially change its generating capacity structure caused by such main factors: the rapid implementation of intermittent renewables, mainly wind and solar