scholarly journals Research on Underhole Field CMS Based on AI Communication

2021 ◽  
Vol 2074 (1) ◽  
pp. 012027
Author(s):  
Xin Liu

Abstract With the rapid development of computer technology, AI technology is applied to various industries, especially the communication industry. Through AI, communication can automatically identify and screen useful information, which will provide more accurate information decision-making for the system. Oil exploitation is a very dangerous work, which requires real-time monitoring of the working state of the system such as wind, water, gas and so on. Through the comprehensive detection of all kinds of information, mining enterprises can ensure the safety of the oil field, which can also ensure the safety of production. Although China’s oil exploration enterprises have many monitoring systems, which can detect a variety of information data. However, there are still many problems in these monitoring systems, such as isolation of each other, inflexibility of sensors, narrow range of data acquisition and so on. At the same time, due to the lack of comprehensive communication platform, the linkage of various production links in the oil well is poor. Therefore, we urgently need a comprehensive monitoring system, which can control the underground field information. Therefore, based on AI communication technology, this paper develops a comprehensive monitoring system.

2014 ◽  
Vol 8 (1) ◽  
pp. 190-196
Author(s):  
Panpan Zhao ◽  
Xiufang Wang ◽  
Ying Liu ◽  
Mengmeng Wu

With the rapid development of drilling technology, borehole has become increasingly complex demanding higher standards for downhole operation. The downhole mechanical analysis is an important part of the oil well production analysis. It is very important for the process of drilling, completion and work over operations. The previous operation based on experience has been unable to meet the modern production requirement in accuracy. For the present situation of oil field information construction and the problems being confronted in the production process, this paper designs and implements the downhole mechanical analysis system based on .NET. This system can provide quick and accurate analysis results of downhole string in the process of well production and can also provide the basis for equipment selection and scheme selection in the production process. The design of this system mainly includes two parts: part one consists of the analysis of the deformation to the tubular column with the packer and the other part comprises of the analysis of frictional resistance of tubular column. This system has the advantages of simple operation, accurate calculation, clear analytical results and comprehensive analysis.


2013 ◽  
Vol 726-731 ◽  
pp. 1500-1503
Author(s):  
Xi He ◽  
Wen Wen Liu ◽  
Gui Lai Xu ◽  
Hui Liu ◽  
Min Jing Li ◽  
...  

There are several hundred of abandoned oil wells in Jianghan oil field now. They were mainly started to be used in 70-80`s of last century, and mainly closed around 2000. After closure, the soil around the oil wells left uncultivated because of oil pollution, which caused serious waste of soil resource. In the present paper, 135 soil samples were collected from 15 oil well areas. Salinity, pH, petroleum hydrocarbon, heavy metals and some other elements were analyzed. According to the investigation, the soil of Jianghan oilfield showed high salinity, and tended to alkali. Petroleum hydrocarbon is dotted distribution, and some sites showed extremely high content as 24.67%. Some elements containing some heavy metals in Jianghan oilfield exceeded standard values and control samples, which may also be caused by oil exploitation.


2019 ◽  
Vol 8 (1) ◽  
pp. 261-268
Author(s):  
A. M. Khairuddin ◽  
Ku Azir K. N. F. ◽  
P. Eh Kan

As one of the most important health monitoring systems, electrocardiography (ECG) is used to obtain information about the structure and functions of the human heart for detecting and preventing cardiovascular disease. Given its important role, it is vital that the ECG monitoring system provides relevant and accurate information about the heart. Over the years, numerous attempts were made to design and develop more effective ECG monitoring system. Nonetheless, the literature reveals not only several limitations in conventional ECG monitoring system but also emphasizes on the need to adopt new technology such as machine learning to improve the monitoring system as well as its medical applications. This paper reviews previous works on machine learning to explain its key features, capabilities as well as presents a general framework for improving ECG monitoring system.


Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 561
Author(s):  
Taehee Lee ◽  
Chanjun Chun ◽  
Seung-Ki Ryu

Road surfaces should be maintained in excellent condition to ensure the safety of motorists. To this end, there exist various road-surface monitoring systems, each of which is known to have specific advantages and disadvantages. In this study, a smartphone-based dual-acquisition method system capable of acquiring images of road-surface anomalies and measuring the acceleration of the vehicle upon their detection was developed to explore the complementarity benefits of the two different methods. A road test was conducted in which 1896 road-surface images and corresponding three-axis acceleration data were acquired. All images were classified based on the presence and type of anomalies, and histograms of the maximum variations in the acceleration in the gravitational direction were comparatively analyzed. When the types of anomalies were not considered, it was difficult to identify their effects using the histograms. The differences among histograms became evident upon consideration of whether the vehicle wheels passed over the anomalies, and when excluding longitudinal anomalies that caused minor changes in acceleration. Although the image-based monitoring system used in this research provided poor performance on its own, the severity of road-surface anomalies was accurately inferred using the specific range of the maximum variation of acceleration in the gravitational direction.


2016 ◽  
Vol 63 (5) ◽  
pp. 414-420 ◽  
Author(s):  
Wei Yan ◽  
Yong Xiang ◽  
Wenliang Li ◽  
Jingen Deng

Purpose This paper aims to establish the downhole CO2 partial pressure profile calculating method and then to make an economical oil country tubular goods (OCTG) anti-corrosion design. CO2 partial pressure is the most important parameter to the oil and gas corrosion research for these wells which contain sweet gas of CO2. However, till now, there has not been a recognized method for calculating this important value. Especially in oil well, CO2 partial pressure calculation seems more complicated. Based on Dolton partial pressure law and oil gas separation process, CO2 partial pressure profile calculating method in oil well is proposed. A case study was presented according to the new method, and two kinds of corrosion environment were determined. An experimental research was conducted on N80, 3Cr-L80 and 13Cr-L80 material. Based on the test results, 3Cr-L80 was recommended for downhole tubing. Combined with the field application practice, 3Cr-L80 was proved as a safety and economy anti-corrosion tubing material in this oil field. A proper corrosion parameter (mainly refers to CO2 partial pressure and temperature) can ensure a safety and economy downhole tubing anti-corrosion design. Design/methodology/approach Based on Dolton partial pressure law and oil gas separation process, CO2 partial pressure profile calculating method in oil well is proposed. An experimental research was conducted on N80, 3Cr-L80 and 13Cr-L80 material. A field application practice was used. Findings It is necessary to calculate the CO2 partial pressure properly to ensure a safety and economy downhole tubing (or casing) anti-corrosion design. Originality/value The gas and oil separation theory and corrosion theory are combined together to give a useful method in downhole tubing anti-corrosion design method.


2011 ◽  
Vol 179-180 ◽  
pp. 949-954 ◽  
Author(s):  
Xiao Hua Cao ◽  
Juan Wan

Internal material supply management for manufacturing workshops usually suffers from message delay and abnormal logistics events, which seriously holdback the reactivity capability of production system. As a rapid, real-time, accurate information collection tools, Radio Frequency identification (RFID) technology has become an important driver in the production and logistics activities. This paper presents a new idea that uses RFID technology to monitor real-timely the abnormal logistics events which occur at each work space in the internal material supply chain and proposes its construction method in details. With the experimental verification of prototype system, the proposed RFID-based monitoring system can find in time the abnormal logistics events of internal material supply chain and largely improve the circulation velocity of production logistics, and reduce the rate of mistake which frequently occurred in traditional material management based on Kanban.


2013 ◽  
Vol 701 ◽  
pp. 440-444
Author(s):  
Gang Liu ◽  
Peng Tao Liu ◽  
Bao Sheng He

Sand production is a serious problem during the exploitation of oil wells, and people put forward the concept of limited sand to alleviate this problem. Oil production with limited sanding is an efficient mod of production. In order to complete limited sand exploitation, improve the productivity of oil wells, a real-time sand monitoring system is needed to monitor the status of wells production. Besides acoustic sand monitoring and erosion-based sand monitoring, a vibration-based sand monitoring system with two installing styles is proposed recently. The paper points out the relationships between sand monitoring signals collected under intrusive and non-intrusive installing styles and sanding parameters, which lays a good foundation for further study and actual sand monitoring in oil field.


Author(s):  
Dai Wei ◽  
Yong Bai

Recent incidents with drilling risers in the Gulf of Mexico have led the industry’s application of more stringent integrity assurance requirements to its deepwater risers. Riser monitoring provides information that enables the operator to measure riser configurations and fatigue damage, confirm the integrity of the riser, assist with operational decisions, optimize inspection, maintenance and repair schedules /procedures and calibrate design tools. Monitoring can also improve the understanding of complex behavior of risers for the improvement to future design and analysis tools. This paper presents the characters of three different monitoring systems that suit specific objectives and requirements. An example project of acoustic approach is introduced with its working mode and design scheme.


Sign in / Sign up

Export Citation Format

Share Document