1887

Abstract

Summary

Summary: Case study about multi-scale data interpretation to support reservoir understanding, sedimentological analysis and geosteering.

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/content/papers/10.3997/2214-4609.2023631022
2023-11-21
2025-03-17
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References

  1. MaurizioMele; FilippoChinellato; AndreaLeone; MassimilianoBorghi; GianbattistaTosi; Jørn-AndersTveit. “The Impact of Ultra Deep Azimuthal Resistivity Technology on ENI Geosteering Workflow Evolution”. Paper presented at the SPWLA 63rd Annual Logging Symposium, Stavanger, Norway, June 2022. https://doi.org/10.30632/SPWLA-2022-0044
    [Google Scholar]
  2. Mele, Maurizio, Chinellato, Filippo, Leone, Andrea, Arata, Francesca, Cappannelli, Caterina, and MatteoMedaglia. “Multiscale Logging While Drilling Data Integration Unveiled Complex Geological Scenario While Geosteering.” Paper presented at the SPWLA 62nd Annual Logging Symposium, Virtual Event, May 2021. doi: https://doi.org/10.30632/SPWLA-2021-0083
    [Google Scholar]
  3. FedericoRicciuti; ChristianOnzaca; RobertoBerto; MariaTeresa Galli. “Unsupervised Recognition of Textural Facies in Borehole Images: A Novel and Efficient Two-Stage Segmentation Method”. Paper presented at OMC-2021-172.
    [Google Scholar]
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