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…
With gigantic growth of data volume that is moved across the web links today, there has been a gigantic measure of perplexing information produced. Extremely huge sets of data including universities, organizations framework, institution gas,…
Reciprocating compressors are widely used in the petroleum industry, and a small fault in reciprocating compressors may cause serious issues in operation. Monitoring and detecting potential faults help compressors to continue normal operation. This…
with the advent of the era of big data, people’s way of thinking and habits have changed greatly. In Colleges and universities, big data has the characteristics of massive, high growth and diversity. Colleges and universities should seize the…
Big data analysis technology can be used to transform massive data of oil production engineering into knowledge that can be used to guide oilfield production. Due to the lack of suitable large data analysis tools, a large data analysis software…
At present, the application of big data analysis technology is developing rapidly. It has achieved remarkable results and benefits in the electricity business, the internet and other areas. But in the field of petroleum engineering, the big data…
COVID-19 Pandemic is still happening. In order to prevent the spread of the virus, many of countries closes its border, and change their Immigration policy quickly. As per April 2020, there is 40,000 travel restriction policy implemented globally,…
Language is a symbol reflecting ideas and is an important medium for people to realize information transfer and communication. Culture is all the material and spiritual wealth created during the historical development of human society. Language and…
With the growing development of the era of big data, data acquisition and analysis have become hot spots, and Python-based crawler technology is one of the most widely used tools in data analysis work at present. In this paper, we apply Python…
Big Data is a popular research area where a vast amount of data is created, replicated, and consumed by society. The quality of the data used directly influences big data knowledge discovery. The existence of noise is the most prevalent problem…
In order to improve the effect of intelligent fertilisation, according to actual fertilisation needs, this paper combines big data technology to perform data analysis, and designs a variable fertilisation mechanical structure that can be used for…
In recent years, the continuous development of big data, cloud services, Internet+, artificial intelligence, and other technologies has accelerated the improvement of data communication services in the traditional pharmaceutical industry. It plays a…
With the development of information technology, the era of big data has gradually entered classroom teaching, and the evaluation of students' learning quality and classroom teaching efficiency has been widely concerned. In order to further improve…
In order to improve the effect of precision intelligent agricultural decision support system, this paper combines big data technology to carry out precision mining of agricultural data, and combines decision tree algorithm to carry out data…
One of the problems in implementing DRPs is the lack of sufficient understanding of consumers' behaviour when implementing DRPs. This paper compares consumers' load patterns annually by the improved Weighted Fuzzy Average (WFA) K‐means clustering…
The explosion in the number of Internet of Things (IoT) devices simply reflects how the growth of big data overlaps perfectly with the growth of the Internet of Things. With the advent of the era of big data, the continuous development of our…
In order to promote the development of agro-ecological economy and improve the reliability of the development model of agricultural circular economy, this paper explores the general framework of the coordinated development of the agricultural…
With the rise of "Internet+" as a national strategy, traditional industries have accelerated their integration with the Internet, and the education industry has also begun to seek innovative development. The fast-paced life of modern people makes…
The Ruhrstahl–Heraeus (RH) degassing plant is essential for producing ultraclean steel, but its vacuum‐based nature is hiding the process from scrutiny. Despite recording the many inputs and outputs of process control and measurements surrounding the…
Vocational education is an important means to promote the development of the national manufacturing industry. To correctly grasp the relationship between vocational education and the labor market, we start with the quality of vocational education and…
This paper adopts "digital landscape design logic," analyzes and researches smart city and digital landscape design, and builds a digital city based on design logic, design basis, environment analysis, and results in a presentation based on the…
Plant variety rights are essential for agricultural development and food security. This paper mainly starts with the cost-benefit issue of plant variety rights that enterprises are concerned about, and introduces the cost-benefit analysis method into…
In recent years, driver behavior analysis plays a vital role to enhance passenger coverage and management resources in the smart transportation system. The real-world environment possesses the driver principles contains a lot of information like…
To expand agricultural business and upgrade the effects of product marketing, supported by the concept of smart agricultural, this paper introduces us the methods to undertake agricultural business promotion and build up product marketing system in…
It is well known that the work condition of pipeline, the leak included, can be identified by a pressure signal analysis. Because of the high frequency data collection and always on-line pipeline leak detection, the pressure signal brings up massive…
Magnetic flux leakage (MFL) methods are widely employed for the nondestructive evaluation (NDE) of gas pipelines. The inspection typically generates over 25 GB of compressed data for every 100 mile of pipeline inspected. Currently, the data is…
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…
The paper is devoted to a new method for defect detecting in pumping units. Traditional methods of equipment diagnostics have a significant degree of subjectivity. Modern requirements for methods of technical condition monitoring and defect locating…
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…
An autonomous pipeline pigging system has been developed for determining position, orientation, curvature, ovality, and deformations such as dents and wrinkles of operating pipelines. At the heart of this integrated system is a strapdown inertial…
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…
The paper is devoted to a new method for defect detecting in pumping units. Traditional methods of equipment diagnostics have a significant degree of subjectivity. Modern requirements for methods of technical condition monitoring and defect locating…
It is well known that the work condition of pipeline, the leak included, can be identified by a pressure signal analysis. Because of the high frequency data collection and always on-line pipeline leak detection, the pressure signal brings up massive…
In order to achieve the purpose of efficient, safe and reliable operation, it has become the development trend and direction to build an intelligent oilfield transportation pipeline network with big data analysis, comprehensive situation awareness…
According to accident data obtained from the China Chemical Information Net, relevant information was extracted from the 5,207 hazardous chemical leakage accidents (HCLAs) and evacuations caused by some HCLAs (157) in China from 2009 to 2018. After…
In order to achieve the purpose of efficient, safe and reliable operation, it has become the development trend and direction to build an intelligent oilfield transportation pipeline network with big data analysis, comprehensive situation awareness…
According to accident data obtained from the China Chemical Information Net, relevant information was extracted from the 5,207 hazardous chemical leakage accidents (HCLAs) and evacuations caused by some HCLAs (157) in China from 2009 to 2018. After…
Drill pipe sticking has a major effect on drilling efficiency and well costs. This problem is affected by many parameters, such as geological parameters, technical and technological drilling parameters, technological and rheological parameters and…
The machine learning revolution is starting to be implemented in machinery maintenance and has become inevitable in highly industrialized and integrated plants. These measures save time, money and effort through new and dynamic condition-monitoring…
Two-dimensional piping layout is widely used in chemical, petroleum, power, environmental protection, municipal works and other engineering constructions. Due to the lack of visualized expression and ambiguity, two dimensional piping layout is not…
The flow patterns of oil/water two-phase flow in vertical upward pipes have been characterized by the analysis of symbolic time series based on the conductance fluctuating signals. It is shown that the temporal irreversibility and chi-square…
According to operation bottlenecks of tank farm, this paper discusses statistical risk simulator program that models the tank farm operation of refinery and covers a ship delay, lifting schedules, unit stream factor, maintenance activities, movement…
For the detection of cracks and corrosion in pipelines an ultrasonic measuring system (pig) was developed. During the pipeline inspection there is no communication to the outside world, the accumulated data have to be stored on a mass storage device.…
Two key issues of fault diagnosis for the pump valves of reciprocating pump are extracting the fault feature information of nonstationary time variation process efficiently from system feature signals and classifying the faults feature correctly. A…
For the detection of cracks and corrosion in pipelines an ultrasonic measuring system (pig) was developed. During the pipeline inspection there is no communication to the outside world, the accumulated data have to be stored on a mass storage device.…
To avoid drilling hole and stealing oil in pipeline, a method of monitoring man made damage in advance is offered based on low frequency vibration signal. The signals come from the complex activities such as welding, hammering and damaging metallic…
In order to identify oil pipeline work conditions accurately and quickly, fuzzy C-means algorithm method is applied to this paper. For obtaining clustering standard, sixteen groups of raw data, which include each work condition, are selected from…
The test system of stress wave signal about stealing oil was briefly introduced. And basic principle of lifting scheme was presented. According to test data, the characteristics of stealing oil were analyzed in time and frequency domains. Stealing…
This paper deals with the automation of oil pipelines inspection by means of a pig. The modern methods of pig location and navigation have been examined. The experience of aerospace technologies for construction of an inertial navigation system is…
Oil and natural gas are normally transported through a vast network of pipelines, a major segment of which are seamless pipes. The manufacturing processes associated with the production of seamless pipes introduces an artifact known as seamless pipe…