1887

Abstract

Summary

This abstract presents a new proprietary solution adopted worldwide by Eni since 2024. The Platform is designed to address critical challenges in discrete real-time data management for rig operations, such as data unavailability, lack of standardization, and time-consuming processes. Utilizing a cloud-based platform, the proprietary solution for discrete data collection enables near real-time data upload and validation, significantly improving data operational efficiency and decision-making. By centralizing data management and monitoring, the new solution delivers measurable enhancements in data quality, streamlines operational workflows, and supports informed decision-making regarding data. This study underscores the Platform’s transformative role in tackling key operational challenges related to data management and driving digital innovation in rig operations.

The findings conclude that the solution accelerates the digitalization and automation of business processes, resulting in enhanced productivity and more effective data management. By simplifying data collection, validation, and distribution, the platform ensures the availability of high-quality data for analysis. Its real-time data management capabilities enable continuous monitoring and instant feedback, fostering adaptive strategies and operational excellence. These features empower faster, data-driven decision-making and more agile responses to data management related operational challenges, positioning the new platform as a pivotal tool for advancing efficiency and innovation.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202539011
2025-03-24
2026-02-08
Loading full text...

Full text loading...

References

  1. Cappuccio, P., Dal Forno, L., Mutidieri, L., Spitaleri, A., Dalla Costa, R., Tuosto, S., Ricci Maccarini, G., Rinaldi, F., Gravante, E., Pizzo, A., Siciliano, L., Vivi, V. and Iannantuono, P. [2020]. Well Construction Process in a Digital Era: Data Driven Approach to Support Well Operations. Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, Abu Dhabi, UAE, November 2020.
    [Google Scholar]
  2. Casetto, I., Tempone, P., Piras, C, Fontana, A., Senestraro, F., Mezzapesa, D. and Sala, G, [2024] March. Enhancing Well Operation Data Quality Assurance and Stakeholder Collaboration in an Established Corporate Data Hub. In Fourth EAGE Digitalization Conference & Exhibition (Vol. 2024, No. 1, pp. 1–5). European Association of Geoscientists & Engineers.
    [Google Scholar]
  3. Friedman, T., & Smith, M. [2011]. Measuring the business value of data quality. Gartner, Stamford, 464.
    [Google Scholar]
  4. Sanasi, C, Dal Forno, L., Ricci Maccarini, G, Mutidieri, L., Tempone, P., Mezzapesa, D., Dalla Rosa, M., Bucci, A., Rinaldi, F., and Andreoletti, C. [2021]. Company Data Governance Transformation to Support the Business Evolution. Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, Abu Dhabi, UAE, November 2021.
    [Google Scholar]
  5. Tempone, P., Piras, C, Lamonaca, N., Biagi, M., Biagiola, L., Crottini, A., and Sanasi, C, Eni; Occhiena, C.Kwantis [2023]. Well data quality assurance: How to ingest, validate, publish, and manage data for Real Time applications. European Association of Geoscientists & Engineers. Third EAGE Digitalization Conference and Exhibition, Mar 2023, Volume 2023, p.1 – 3.
    [Google Scholar]
/content/papers/10.3997/2214-4609.202539011
Loading
/content/papers/10.3997/2214-4609.202539011
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error