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  Published Paper Details:

  Paper Title

REAL-TIME DATA PROCESSING WITH SEMANTIC WEB TECHNOLOGIES IN OIL AND GAS INDUSTRIES

  Authors

  Vasundara D S,  Vandana T N,  Supritha H A,  Chaithra R S

  Keywords

: Real-time data processing, Semantic Web technologies, Oil and gas industry, Semantic enrichment, RDF (Resource Description Framework), Ontologies, Semantic reasoning, Predictive maintenance, Edge computing, Artificial intelligence integration, Data interoperability, Advanced analytics, Sensor data, Industrial applications, Decision support system.

  Abstract


The oil and gas sector are always changing, with a strong focus on improving safety, streamlining operations, and minimising its negative environmental effects.The combination of semantic web technologies and real-time data processing presents a revolutionary method for handling the intricate data environments that are unique to this industry. . In order to expedite the processing and interpretation of real-time data streaming from diverse sources, including sensors, drilling equipment, and monitoring systems, this project investigates the application of semantic web technologies, such as ontologies and linked data. It will show how the approach may improve operational efficiency, cut-down on downtime, and encourage sustainable practices in the oil and gas sector.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2507427

  Paper ID - 291169

  Page Number(s) - d731-d736

  Pubished in - Volume 13 | Issue 7 | July 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Vasundara D S,  Vandana T N,  Supritha H A,  Chaithra R S,   "REAL-TIME DATA PROCESSING WITH SEMANTIC WEB TECHNOLOGIES IN OIL AND GAS INDUSTRIES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 7, pp.d731-d736, July 2025, Available at :http://www.ijcrt.org/papers/IJCRT2507427.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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