pipeline monitoring
Recently Published Documents


TOTAL DOCUMENTS

219
(FIVE YEARS 65)

H-INDEX

16
(FIVE YEARS 5)

2022 ◽  
Vol 157 ◽  
pp. 112046
Author(s):  
Mati-ur-Rasool Ashraf Virk ◽  
Muhammad Faizan Mysorewala ◽  
Lahouari Cheded ◽  
AbdulRahman Aliyu

2021 ◽  
pp. 533-546
Author(s):  
Isam Wadhaj ◽  
Craig Thomson ◽  
Baraq Ghaleb
Keyword(s):  

2021 ◽  
Vol 7 (8(62)) ◽  
pp. 26-28
Author(s):  
V.N. PRYAKHIN ◽  
M.A. KARAPETYAN ◽  
E.S. LUKINA

The analysis of threats and dangers arising in the field of production and economy is carried out. The urgency of solving the problem of environmental safety of the individual and the state is substantiated. The influence of unfavorable factors on the ecological state of industrial and agricultural production zones is shown. The complex use of a source of х-ray and acoustic radiation, which increases the reliability of information and sensitivity to the detection of an emergency situation, is justified. An automated method of pipeline monitoring is proposed to detect defects and increase the resolution when they are detected.


2021 ◽  
Author(s):  
Myssar Jabbar Hammood Al-Battbootti ◽  
Iuliana Marin ◽  
Nicolae Goga ◽  
Ramona Popa

2021 ◽  
Vol 872 (1) ◽  
pp. 012021
Author(s):  
S I Kondratiev ◽  
I M Dantsevich ◽  
A A Tarasenko

2021 ◽  
Author(s):  
Jean Grégoire Boero Rollo ◽  
John Richard Ordonez Varela ◽  
Tayssir Ben Ghzaiel ◽  
Cedric Mouanga ◽  
Arnaud Luxey ◽  
...  

Abstract Wireless Autonomous Nano-sensor Device (WAND) system is a disruptive cost-effective micro-system for well monitoring. It allows to realize pressure, temperature, inertial, and magnetic field measurements in harsh conditions; it also offers Bluetooth low-power communication and Wireless charging capabilities. Analysis’ results of an industrial offshore pilot realized in Congo (a world first in O&G industry in such complex environment), and major improvements implemented after this pilot are reported in this paper. Accomplished advancements comprise hardware and software developments extending operation lifetime, and simplifying on-site utilization. To date, there is not a commercial solution of this type in the market, the realization of this project is a real innovation allowing practical and low-cost monitoring during well intervention while minimizing the risks associated with standard Rigless intervention. Other applications regarding dry-tree wells on tension-leg platforms (TLP), drilling and completion operations, and pipeline monitoring are being investigated, too.


2021 ◽  
Vol 13 (18) ◽  
pp. 10226
Author(s):  
Rajesh Singh ◽  
Mohammed Baz ◽  
Ch. Lakshmi Narayana ◽  
Mamoon Rashid ◽  
Anita Gehlot ◽  
...  

Oil pipeline monitoring is having a significant role in minimizing the impact on the environment and humans during pipeline accidents. The real-time monitoring of oil pipelines empowers the authorities to have continuous supervision of the oil pipeline. The Internet of Things (IoT) provides an opportunity for realizing the real-time monitoring system by deploying the IoT-enabled end devices on the oil pipeline. In this study, we propose a hybrid architecture based on 2.4 GHz-based Zigbee and LoRa communication for oil pipeline monitoring. Moreover, customized end devices and LoRa based gateway are designed and implemented for sensing the critical parameters of an oil pipeline. Here, we have performed the simulation of ZigBee communication on the OPNET simulator for evaluating the parameters such as packet delivery ratio (PDR), retransmission attempts, throughput, medium access (MAC) queue size, and queue delay. Furthermore, the distinct evaluation metrics of LoRa such as bit rate, link budget, and receiver sensitivity are also included. Finally, a real-time experiment is implemented with customized end devices and a gateway for evaluating the proposed architecture. In the real-time experiment, the devices and gateway are logging the pressure sensory data into the Cayenne cloud.


2021 ◽  
Author(s):  
Liu Jianping ◽  
Pengchao Chen ◽  
Hong Zhang ◽  
Baodong Wang ◽  
Xiaoben Liu

Sign in / Sign up

Export Citation Format

Share Document