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oilfield water injection surface monitoring system 3

Oilfield water injection surface monitoring system

引用

3rd International Conference on Image Processing and Intelligent Control, IPIC 2023

作者： Xing, Shuchen Song, Nan Wen, Xuhui Xi'an Petroleum University Key Laboratory of Photoelectric Oil and Gas Logging and Testing Ministry of Education Xi'an710065 China

ISBN: (纸本)9781510668140

Due to the complex and harsh oilfield production environment, oilfield enterprises need a set of digital intelligent monitoring system to realize the real-time monitoring and control of oilfield water injection. This paper designs a field monitoring system of oilfield water injection based on configuration software. The system uses the general monitoring configuration software of Beijing Force Control Yuantong Technology Co., Ltd., which can realize modular function division and has the functions of fault alarm data recording and query. The PID control technology is applied to the system, and the performance of the technology is verified by simulation. It has been verified that the system can control the flow stably and intelligently, and can ensure long-term effective operation. © 2023 SPIE.

关键词： Three term control systems

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Raspberry Pi Based oil Pipe Defect Detection Crawler 4

Raspberry Pi Based Oil Pipe Defect Detection Crawler

引用

4th International Seminar on Artificial Intelligence, Networking and Information Technology, AINIT 2023

作者： Su, Juan Wen, Xuhui Xue, Xinxin Xing, Shuchen Xi'An Petroleum University Laboratory of Shaanxi Province for Gas & Oil Logging and Control Technology Xi'an China Xi'An Petroleum University Key Laboratory of Photoelectric Oil and Gas Logging and Testing Ministry of Education Xi'an710065 China

ISBN: (纸本)9798350314526

In order to prevent production accidents caused by oil pipe defects, it is significant to carry out regular inspection of oil pipes, for oil pipe defect detection this paper designed a Raspberry Pi based oil pipe defect detection crawler, the pipeline on the basis of the crawler, using the Raspberry Pi motherboard equipped with camera module and laser module to survey the tube The pipeline is based on the crawler, using the Raspberry Pi motherboard with camera module and laser module to survey the environmental conditions inside the pipe, and real-Time data transmission to the host computer, the host computer side by building a neural network model to discriminate and classify the defects in the pipe, through experimental testing, the pipeline defect detection crawler designed in this paper can quickly and accurately detect the defects in the pipe. © 2023 IEEE.

关键词： Image recognition

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Raspberry Pi Based oil Pipe Defect Detection Crawler

Raspberry Pi Based Oil Pipe Defect Detection Crawler

引用

Artificial Intelligence, Networking and Information Technology (AINIT), International Seminar on

作者： Juan Su XuHui Wen XinXin Xue ShuChen Xing Laboratory of Shaanxi Province for Gas & Oil Logging and Control Technology Xi'an Petroleum University Xi'an China (Key Laboratory of Photoelectric Oil and Gas Logging and Testing Ministry of Education) Xi'an Petroleum University Xi'an China

In order to prevent production accidents caused by oil pipe defects, it is significant to carry out regular inspection of oil pipes, for oil pipe defect detection this paper designed a Raspberry Pi based oil pipe defect detection crawler, the pipeline on the basis of the crawler, using the Raspberry Pi motherboard equipped with camera module and laser module to survey the tube The pipeline is based on the crawler, using the Raspberry Pi motherboard with camera module and laser module to survey the environmental conditions inside the pipe, and real-time data transmission to the host computer, the host computer side by building a neural network model to discriminate and classify the defects in the pipe, through experimental testing, the pipeline defect detection crawler designed in this paper can quickly and accurately detect the defects in the pipe.

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A review of techniques for enhancing oil recovery by EM and US Wave 8th

A review of techniques for enhancing oil recovery by EM and ...

引用

8th International Field Exploration and Development Conference, IFEDC 2018

作者： Ismail, Muhammad Gao, Guowang Sajid, Iqbal Wang, Yongchao Key Laboratory of Photoelectric Oil& Gas Logging and Testing Ministry of Education Key Laboratory of Measurement and Control of Oil and Gas Wells in Shaanxi Province School of Electronics Engineering Xi’an Shiyou University Xi’anShaanxi710065 China Department of Mechatronics and Control Engineering UET Lahore Lahore Pakistan

ISBN: (纸本)9789811371264

This paper reviews ultrasonic (US) and electromagnetic wave (EM) EOR techniques. Due to decrease in discoveries of oil reservoirs during the recent years, it is deduced that the only way to meet the shortage of oil in coming years is to improve the efficiency of enhance oil recovery (EOR). Every EOR method has its own pros and cons. Electromagnetic enhanced oil recovery method is cost-effective and environmental friendly. Another relatively new approach because of its easy applicability, energy efficiency, eco-friendliness, or "green technology" which is getting attention of researchers is known as ultrasonic enhance oil recovery. The irradiation of ultrasonic wave and electromagnetic heating has advantage of minimizing heat loss during enhance oil recovery. This study focuses on the investigation of effect of power and frequency of US and EM wave enhance oil recovery. This paper concludes that the application of US and EM wave to oil reservoir resulted in significant improvement in enhance oil recovery of heavy crude oil. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Irradiation

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