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Volume 31, Issue 2
  • ISSN: 1354-0793
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Abstract

Due to the variability in depositional cycles and the active nature of the constituent minerals, carbonate rocks are commonly strongly modified by diagenetic processes that alter their original rock fabric and petrophysical properties. Conventional petrophysical models do not reliably assess these complexities, requiring extensive calibration efforts or pore-scale image analysis. We introduce a calibration-free method that enables the assessment of pore-network properties such as constriction factor, pore-body and pore-throat size distributions, as well as permeability and capillary pressure based on joint interpretation of nuclear magnetic resonance (NMR) transverse relaxation time ( ) distribution and electrical conductivity measurements. We successfully applied the introduced method to pre-salt carbonates of the Barra Velha Formation in the Santos Basin of Brazil. The applications of the introduced method for assessing throat-size distribution in the core- and the well-log-scale domains have proven successful in 87 and 73% of the cases, respectively. The permeability estimates from the new method showed more than 42% improvement when compared against those obtained from NMR-based permeability assessment methods. The new method provides real-time and depth-by-depth assessments of the pore-throat size distribution and capillary pressure, minimizing the need for core-based calibration efforts and eliminating the need for detecting cutoff values in NMR-based permeability models.

© 2025 The Author(s). Published by The Geological Society of London for GSL and EAGE. All rights, including for text and data mining (TDM), artificial intelligence (AI) training, and similar technologies, are reserved. For permissions: https://www.lyellcollection.org/publishing-hub/permissions-policy. Publishing disclaimer: https://www.lyellcollection.org/publishing-hub/publishing-ethics

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2025-05-13
2025-06-24

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/content/journals/10.1144/petgeo2024-093
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Novel estimation of pore-throat size and permeability in carbonates from the integration of NMR and resistivity data in the Santos Basin of Brazil
Petroleum Geoscience 31, petgeo2024-093 (2025); https://doi.org/10.1144/petgeo2024-093
/content/journals/10.1144/petgeo2024-093
/content/journals/10.1144/petgeo2024-093
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