Developing a Framework for Real-Time Seismic Data Monitoring and Analysis : Leveraging Technology for Better Decision-Making and Exploration Outcomes

Authors

  • Nyaknno Umoren  Independent Researcher, UK
  • Malvern Iheanyichukwu Odum  Shell Nigeria Exploration and Production Company (SNEPCo), Nigeria
  • Iduate Digitemie Jason  Mobo Energy Limited, Nigeria
  • Dazok Donald Jambol  D-Well Engineering Nig. Ltd. (Shell Petroleum Development Company of Nigeria), Nigeria

Keywords:

Real time seismic monitoring, Streaming acquisition systems, Edge computing, AI driven seismic analysis, Cloud based processing, Decision support framework.

Abstract

Realtime seismic data monitoring and analysis have emerged as pivotal enablers for informed decision making in hydrocarbon exploration and reservoir management. By integrating high frequency data acquisition systems, cloud based processing pipelines, and machine learning algorithms, operators can now detect subsurface anomalies, track drilling hazards, and optimize well placement with unprecedented speed and accuracy. This review synthesizes recent technological advancementsincluding streaming nodal arrays, edge computing architectures, and AI driven attribute extraction—that underpin real time seismic workflows. We evaluate the impact of continuous data streams on risk mitigation, operational efficiency, and exploration success, drawing insights from case studies across onshore and offshore environments. Additionally, we discuss challenges related to data volume, latency, and model validation, before proposing a unified framework that combines sensor networks, scalable processing platforms, and decision support tools. The proposed framework aims to standardize real time seismic operations, reduce exploration uncertainties, and accelerate value delivery in complex geological settings.

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2023-10-30

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Research Articles

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[1]
Nyaknno Umoren, Malvern Iheanyichukwu Odum, Iduate Digitemie Jason, Dazok Donald Jambol, " Developing a Framework for Real-Time Seismic Data Monitoring and Analysis : Leveraging Technology for Better Decision-Making and Exploration Outcomes" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 5, pp.574-597, September-October-2023.