The development of information technologies such as the internet of things(IoT), big data, cloud computing, and artificial intelligence has made the global energy rapid advancement in digitalization and intelligence. Based on electric power systems,…
Artificial Intelligence (AI) has been widely applied for Safety Inspection in a number of industrial domains. However, individual company usually could not provide sufficient data to support well-trained AI models. Federated Learning, as a new AI…
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…
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…
In order to ensure the safety of industrial production process, identification and early-warning of abnormal working conditions are very important. In this paper, the abnormal "foaming phenomenon" of natural gas purification desulfurization solution…
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…
With the rapid development of energy industry, more requirements are put forward for the processing of energy data. In order to extract more value from multi-source heterogeneous data, it is necessary to combine various sources and different forms of…
In recent years economic an social activity fields is based on data. Oil and gas industry leaders understand the value of big data and are interested in digital oil industry becoming a reality. Here is big data is analysed as a key component in based…
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…
With the rapid development and comprehensive popularization of information technology, in order to reduce resource consumption and environmental pollution, all walks of life have made efforts to promote the construction of information technology in…
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…
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…
Smart devices in an Internet of Things (IoT) generate a massive amount of big data through sensors. The data is used to build intelligent applications through machine learning (ML). To build these applications, the data is collected from devices into…
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…
With the development of network technology, music recommendation system has also developed rapidly, and online music platform has become the first choice for people to listen to music. However, the music recommendation system also faces some…
With the gradual deepening and expansion of the scale of enterprise information construction, it is increasingly required that the system can break business barriers and data barriers, so that it can realize a new software design idea of data…
Lithology recognition is an essential part of reservoir parameter prediction. Compared to conventional algorithms, deep learning that needs a large amount of training data as support can extract features automatically. In the process of real data…
today, multimedia database management is the most important for the new generation and specifically in big data issues for instant saving, calling and modifying operations for many types of documents as text, video and audio. A huge number of…
In recent years economic an social activity fields is based on data. Oil and gas industry leaders understand the value of big data and are interested in digital oil industry becoming a reality. Here is big data is analysed as a key component in based…
The energy data scope is very broad including oil and gas, coal, minerals, new energy, renewable and conversion energy, electricity, and others. The different volume, variety, veracity, and velocity of data have challenge to address with the energy…
This paper summarizes the related contents of artificial intelligence and big data, analyzes the development of financial field comprehensively, and presents the application of artificial intelligence and big data in the field of finance and…
In sample analysis, because of different types of sample assaying project result in different types of data models to be used for storing these different types of assaying data. So far, all assaying data models almost employ relational data model, it…
With the rapid growth of the Internet-of-Things (IoT), security issues for the IoT are becoming increasingly serious. Memory leaks are a common and harmful software defect for IoT programs running on resource-limited devices. Static analysis is an…
This paper provides a conceptual framework for designing a disaster response system based on Internet of Things (IoT) and Device to Device (D2D) under the new generation 5G mobile networks. The next generation of mobile network and technologies such…
The Internet of Things (IoT) has been widely adopted in a range of verticals, e.g., automation, health, energy, and manufacturing. Many of the applications in these sectors, such as self-driving cars and remote surgery, are critical and high stakes…
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…
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…
Reliable estimate of the anelastic attenuation factor- Q from seismic records is highly desirable for improving seismic resolution. However, the conventional equivalent- Q or horizontal interval- Q estimation ignores that Q-distribution should hold…
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…
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…
In order to ensure the safety of industrial production process, identification and early-warning of abnormal working conditions are very important. In this paper, the abnormal "foaming phenomenon" of natural gas purification desulfurization solution…
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 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…
When under production, after harvest ‚curing and redrying, tobacco lamina also need a mellowing process in the warehouse of not less than 24 months to achieve naturally mellowy, during which certain temperature and humidity is needed. In the…
Engineering geophysical prospecting is used to identify anomalous underground bodies, which are typically identified by inversion results. In recent years, machine learning has been applied to many geophysics studies, including geophysical data…
The energy data scope is very broad including oil and gas, coal, minerals, new energy, renewable and conversion energy, electricity, and others. The different volume, variety, veracity, and velocity of data have challenge to address with the energy…
The Internet of things (IoT) has certainly become one of the hottest technology frameworks of the year. It is deep in many industries, affecting people’s lives in all directions. The rapid development of the IoT technology accelerates the process of…
today, multimedia database management is the most important for the new generation and specifically in big data issues for instant saving, calling and modifying operations for many types of documents as text, video and audio. A huge number of…
The computer model of a solar power plant based on a multifunctional integrated electromagnetic component has been developed. This model consists of rectifier-inverter blocks, a battery and a load. The main tasks of modeling are the study of matching…
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…
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…
The evolving nature of electricity production, transmission, and consumption necessitates an update to the IEEE's Reliability Test System (RTS), which was last modernized in 1996. The update presented here introduces a generation mix more…
Technological parameters and technical level of the equipment at an oil storage facility influence motor fuel's quality and its waste during reception, storage and transfer. The use of intelligent systems during the oil storage and handling process…
With the rapid development of energy industry, more requirements are put forward for the processing of energy data. In order to extract more value from multi-source heterogeneous data, it is necessary to combine various sources and different forms of…
Desalter and crude distillation unit is an equipment used for desalting of salt and other impurities to minimize corrosion during the crude oil refining process. This study presents the predictive analysis of data from desalter and crude distillation…
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…
It is important to assess environmental impact of intelligent transportation systems, and hence developing a vehicle emission model with high accuracy has been a long-standing topic in transportation research. However, current vehicle emission models…
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…
To study the fluctuation characteristics of the Yangtze river ro-ro freight index, the monthly data of Yangtze river ro-ro freight index, international crude oil price and sales volume of Chinese commercial vehicles are selected, and the empirical…
Pipeline safety early warning (PSEW) systems based on distributed optical fiber sensors are used to recognize and locate third-party events that may damage long-distance energy transportation pipelines and are essential to ensure pipeline safety and…