Previous studies on forecasting Value-at-Risk mostly focus on using the information directly obtained from the market itself. In this paper, we propose a new method for predicting Value-at-Risk by incorporating both internal and external information…
Today, modern industrial equipment is very complex as it involves sophisticated assets and systems. Thus, machine equipment optimization and safety have become operators' main concerns in the quest for maintaining optimum operational efficiency,…
Energy is an important driving force for the social and economic development. However, with the development of the industrial revolution and the world economy, the energy crisis is becoming more and more serious, and with the increasing greenhouse…
Accurate and stable natural gas price forecasts are essential for effective management of energy systems. However, due to the mixed frequency of data and the inherent nonlinear fluctuation characteristics of natural gas price changes, it is difficult…
In recent decades, commodities have attracted the attention of a large number of investors and financial professionals, and their prices have become very important for investors and policy makers. Although natural gas is widely used as a clean…
The feed, temperature, pressure and other conditions of the catalytic cracking main fractionator will have an impact on the output of gasoline and diesel. From the perspective of economic efficiency and technology, it is so necessary to establish a…
The water injection system, which is prone to failure and high energy consumptions, consists of many different parts, perform complex system behaviors and has a high degree of correlation with the environment and strong coupling with each other. In…
This study aims to investigate how congestions at ports affect the shipping freight market using a System Dynamics model, particularly in the liquified petroleum gas (LPG) maritime transportation market. We utilize maritime big data derived from the…
In the oil and gas industry, there is a growing demand for application of big data analytics and artificial intelligence (AI) technologies to optimize operations and reduce cost. In this study, we work on the productivity prediction, which is an…
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…
Temperature and pressure variations have important significance in environmental protection and safety operation of oil reservoir in salt caverns. Shrinkage of salt caverns, effect of permeability and fluid thermal pressurization rate were discussed…
The objectives of this study were the following: (1) to investigate the correlations between data collected through Internet of Thing (IOT) and unintentional behavior of drivers (2) to create the models based on machine learning techniques to…
Understanding maritime network structure and traffic flow changes is a challenging task that must incorporate economic, energy, geopolitics, maritime transportation, and network sciences. Crude oil is the most imported energy in the world.…
During the sequential transportation of refined oil pipelines, mixed oil in the intersection area of two different types of oil needs to be identified and cut. Therefore, prediction of the length of the mixed oil (LMO) is significant for scheduling…
Petroleum consumption is an important factor for any country's economic and social growth. In India, petroleum consumption is increasing rapidly. India holds the third rank in oil consumption after the USA and China. One of the important sectors of…
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 inland waterways in the United States (U.S.) are used to transport approximately 20% of America's coal, 22% of U.S. petroleum products, and 60% of farm exports making these waterways a significant contributor to the U.S. multimodal transportation…
Many fire or explosion accidents have happened because of the high temperature which is the excellent indicator for risk evaluation caused by an oxidation exothermic reaction of sulfurized rust in the production and transportation of…
Phase Change Materials (PCMs) are used for thermal energy storage (TES) due to their high latent heat capacity. While inorganic PCMs have the ability to store large amounts of thermal energy (as they possess higher values of latent heat capacity)…
Crude oil fractionating column is an important unit in the refining processes of petrol production. The quality of gasoline from the fractionating column side stream is usually evaluated by dry point that is difficult to measure in real-time. In this…
The fundamental digital processing techniques used to analyze seismic records taken in the exploration for petroleum and natural gas are described. These methods include the determination of the seismic velocity function for a prospect, static and…
With the increasing of fracturing scale and displacement, the risk of engineering operation is increased because the high friction of string. Therefore, it is very important to predict the friction in fracturing operation. Used the local…
The Deep Water Horizon well blowout on April 20th 2010 discharged between 40,000-1.2 million tons of crude oil into the Gulf of Mexico. In order to understand the fate and impact of the discharged oil, particularly on the environmentally sensitive…
Crude oil blending is an important unit in petroleum refining industry. Most of blend automation system is a real-time optimizer (RTO). RTO is a model-based optimization approach that uses current process information to update the model and predict…
Water content of crude oil has always been an important indicator of evaluating the exploiting capacity of an oil field. Accurate rate of water content will optimize the production and decrease energy consumption. Due to the complicated working…
Ultrasonic technology has potential application prospect in measurement of phase fraction in oil-water two-phase flow. An ultrasound attenuation method is discussed in the oil-water two-phase flow. Geometric simulation models of oil-water two-phase…
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…
We propose a method to use historical data to improve disturbance estimation in dynamic matrix control. It is proposed to compute the Kalman gain matrix of a step response model directly from plant data through a spectral or state-space realization.…
This paper is concerned with the evaluation of a constrained long range predictive control algorithm on a simulated multivariable model of a heavy oil fractionator. A multivariable generalized predictive controller (MGPC) is combined with a quadratic…
This paper focuses on the application of steady-state operability to Model Predictive Control (MPC) of the Shell Heavy Oil Fractionator (SHOF) control problem. Operability for non-square systems is a relatively new area in the literature, and…
This paper analyzes technological process of the main fractionator, and takes improvement of product quality as the control target. The control algorithm based on chain system is brought forward. Two major factors which affect quality of the crude…
The feed, temperature, pressure and other conditions of the catalytic cracking main fractionator will have an impact on the output of gasoline and diesel. From the perspective of economic efficiency and technology, it is so necessary to establish a…
Crude oil fractionating column is an important unit in the refining processes of petrol production. The quality of gasoline from the fractionating column side stream is usually evaluated by dry point that is difficult to measure in real-time. In this…
Inferential analysis using neural network technology is proposed for an existing crude fractionation section of an oil refinery. Plant data for a three month operation period is analyzed in order to construct various neural network models using a…
Reservoir classification is an important component of reservoir geological modelling and reservoir evaluation and identification. Using a single conventional logging curve to identify complex heterogeneous reservoir types has always been a difficult…
In order to solve the multiple uncertainties of wind, light and load forecasting, as well as the influence of the different transmission characteristics of heterogeneous energy flow in power grid, gas network and cold/hot network on the optimal…
The development of power-to-gas technology provides new ideas for alleviating the problem of wind power and photovoltaic power curtailment. In this paper, the power-to-gas process is divided into two modes: power-to-hydrogen and power-to-natural gas,…
The mooring systems give stability to the floating platforms against environmental conditions, stabilizing the platform with mooring lines attached to the seabed. The mooring systems are among the main components that guarantee the safety of the…
Reservoir characterization is a crucial step in developing the oil and gas fields. In this research, a new technique has been demonstrated for analyzing pressure transient tests conducted in oil wells using deep learning. The pressure data recorded…
This paper presents a recent metaheuristic optimization approach of multi-verse optimizer (MVO) to design load frequency control (LFC) based model predictive control (MPC) incorporated in large multi-interconnected system. The constructed system…
Most of the time the mechanical equipment is in normal operation state, which results in high imbalance between fault data and normal data. In addition, traditional signal processing methods rely heavily on expert experience, making it difficult for…
Phase Change Materials (PCMs) are used for thermal energy storage (TES) due to their high latent heat capacity. While inorganic PCMs have the ability to store large amounts of thermal energy (as they possess higher values of latent heat capacity)…
Due to natural conditions in northern China, heat power is the main energy supply, and there is a large proportion of wind power connected to the grid. During the heating period in winter, combined heat and power (CHP) unit operates in the…
Asphaltene is apt to deposit from crude oil under high pressure condition, and the sediment will reduce the pipeline flow area and the performance of equipments, even block the submarine pipeline in extreme cases. The pressure is relatively high in…
The accurate prediction of vacant parking space availability is becoming increasingly essential for assisting drivers to determine where to park in advance. It helps ease traffic pressure and reduce gas emission and pollution. This article proposes a…
Durability is considered as one of the main technical obstacles to the large-scale commercialization of proton exchange membrane fuel cells (PEMFCs), which can be effectively improved through degradation prediction techniques. This article proposes a…
The objectives of this study were the following: (1) to investigate the correlations between data collected through Internet of Thing (IOT) and unintentional behavior of drivers (2) to create the models based on machine learning techniques to…
Understanding maritime network structure and traffic flow changes is a challenging task that must incorporate economic, energy, geopolitics, maritime transportation, and network sciences. Crude oil is the most imported energy in the world.…
In the recent years, industries such as aeronautical, railway, and petroleum has transitioned from corrective/preventive maintenance to condition based maintenance (CBM). One of the enablers of CBM is Prognostics which primarily deals with prediction…
Machine learning, especially deep learning, has been extensively applied and studied in the area of machine health monitoring. For machine health monitoring systems (MHMS), major efforts have been put into designing and deploying more and more…