Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Subsea Pipeline Corrosion Monitoring System Using IOT
PaperId: :  14486
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 4 2021
DUI:    16.0415/IJARIIE-14486
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Selva Lakshman MuraliArizona State University
Sanjana RameshMissouri University of Science and Technology

Abstract

Computer Engineering, Electrical Engineering, Internet of Things
Internet of Things, Ultrasonic sensors, subsea management, Corrosion
Underwater pipelines are important for transporting oil and gas over long distances. It, on the other hand, face numerous risks, including corrosion and leakage. Corrosion of pipelines has long been a subject of worry in the oil and gas (O&G) industry, as it has a negative impact on infrastructure in exploration, development, refining, and transportation, resulting in substantial financial costs and safety concerns[6]. As a measure, pipeline safety monitoring must be carried out. The ability to track corrosion electronically until structural integrity is damaged will make a big difference in avoiding catastrophic corrosion events. This paper presents an IoT sensor, which will monitor the properties of pipelines and the sea and record the data for predicting and alarming the pipe’s vulnerability to corrosion.[4]

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Selva Lakshman Murali, and Sanjana Ramesh. "Subsea Pipeline Corrosion Monitoring System Using IOT" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 4 2021 Page 171-176
MLA Selva Lakshman Murali, and Sanjana Ramesh. "Subsea Pipeline Corrosion Monitoring System Using IOT." International Journal Of Advance Research And Innovative Ideas In Education 7.4(2021) : 171-176.
APA Selva Lakshman Murali, & Sanjana Ramesh. (2021). Subsea Pipeline Corrosion Monitoring System Using IOT. International Journal Of Advance Research And Innovative Ideas In Education, 7(4), 171-176.
Chicago Selva Lakshman Murali, and Sanjana Ramesh. "Subsea Pipeline Corrosion Monitoring System Using IOT." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 4 (2021) : 171-176.
Oxford Selva Lakshman Murali, and Sanjana Ramesh. 'Subsea Pipeline Corrosion Monitoring System Using IOT', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, 2021, p. 171-176. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Corrosion_Monitoring_System_ijariie14486.pdf (Accessed : 28 January 2025).
Harvard Selva Lakshman Murali, and Sanjana Ramesh. (2021) 'Subsea Pipeline Corrosion Monitoring System Using IOT', International Journal Of Advance Research And Innovative Ideas In Education, 7(4), pp. 171-176IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Corrosion_Monitoring_System_ijariie14486.pdf (Accessed : 28 January 2025)
IEEE Selva Lakshman Murali, and Sanjana Ramesh, "Subsea Pipeline Corrosion Monitoring System Using IOT," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, pp. 171-176, Jul-Aug 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Corrosion_Monitoring_System_ijariie14486.pdf [Accessed : 28 January 2025].
Turabian Selva Lakshman Murali, and Sanjana Ramesh. "Subsea Pipeline Corrosion Monitoring System Using IOT." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 4 (28 January 2025).
Vancouver Selva Lakshman Murali, and Sanjana Ramesh. Subsea Pipeline Corrosion Monitoring System Using IOT. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : 28 January 2025]; 7(4) : 171-176. Available from: https://ijariie.com/AdminUploadPdf/Corrosion_Monitoring_System_ijariie14486.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 1/28/2025 3:16:13 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review of Automated Plant Disease Detection Using Camera-Based Systems for Scalable Farm AutomationComputer EngineeringMohammed Taha Ahmed Download
ENHANCE ETHANOL PURITY WITH TEA POWDER ADSORBTIVE DISTILLATION.Chemical EngineeringKatore Tejas Download
IOT Enabled Smart Helmet For Miners SafetyComputer EngineeringDhruv Verma Download
Deep Learning Based Web Application for Hand Sign RecognitionComputer Engineering Mrs.Sonali Salunkhe Download
WIREFRAME INTERPRETATION AND FRONTEND CODE GENERATIONComputer EngineeringK. Archana Download
NEXT-GENERATION FIREWALLS: ADVANCING NETWORK SECURITY TO COMBAT EVOLVING AND SOPHISTICATED CYBER THREATSSecurity Network EngineerVenkata Surya Teja Gollapalli Download
Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart HospitalsComputer ScienceVisrutatma Rao Vallu Download
Enhancing E-Commerce Transaction Security with Big Data Analytics in Cloud ComputingCloud ComputingRajani Priya Nippatla Download
AI-Assisted Fabrication of Functionalized Nanoparticles for Infectious Disease Treatmentmachine learningNandan Kumar Download
Deep Neural Networks for Enhancing Nanoparticle Drug Release Kineticsmachine learningPavan Gowda Download
Multiscale Modelling of Nano-Drug Interactions Using Artificial Intelligencemachine learningSandhya. S Download
AI-Powered Control Systems for Nanobots in Microbial Infection Zonesmachine learningPavan T.K Download
AI-Driven Discovery of Nanostructures That Disrupt Antibiotic-Resistant Biofilmsmachine learningManohar Jain Download
AI-Enhanced Biosensors for Real-Time Detection of Pathogens Using Nanomaterialsmachine learningFaisal Ahmed Download
Integrating Deep Learning with Nanotechnology for Virus Detectionmachine learningAkash Kumar Download
12