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Abstract

Summary

In the digital transformation of Exploration and Production (E&P) companies, data serves as a key enabler of operational efficiency, informed decision-making, and innovation. As E&P companies continue to drill more wells, the volume and complexity of data have grown exponentially. This has introduced several challenges related to data management, accessibility, and usability.

A few key challenges are:

  1. Vast data volumes: Over the years, E&P companies have amassed enormous datasets, often reaching petabyte scales. Seismic data alone accounts for 85–90% of this data, underscoring its critical importance in exploration workflows.
  2. Siloed data storage: Data is often stored in disparate systems such as shared drives, SharePoint, OneDrive, and other storage solutions. These systems are typically not integrated, leading to data silos that hinder collaboration and accessibility.
  3. Unindexed and Unstructured data: A significant portion of the data remains unindexed and unstructured, making it difficult to search, retrieve, and utilize efficiently.

To address these challenges, the paper focuses on indexing, metadata extraction, and seamless integration with advanced data discovery and analysis tools.

The workflow supports automated ingestion of indexed data into the OSDU platform. This integration ensures interoperability and facilitates data sharing across the organization.

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/content/papers/10.3997/2214-4609.202639014
2026-03-09
2026-02-06
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References

  1. Raghavan, V.K., Sharma, K., & Parkhi, S., (2025). An innovative approach to liberate the seismic data to OSDU. SEG Conference “Advances in Seismic Interpretation and Subsurface Characterization Workshop”, Kaula Lumpur, Malaysia, Oct 2025.
    [Google Scholar]
  2. Tomlinson, J., Bhatnagar, P., & Hanton, C. (2022). A roadmap to accelerate OSDU adoption. The leading Edge, 41(9), 647–651.
    [Google Scholar]
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