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Sahar Sadrikhanloo

Karlsruhe Institute of Technology

Kaiserstraße 12

Karlsruhe, 76131

Germany

SCHOLARLY PAPERS

1

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6

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0

Scholarly Papers (1)

1.

Scale-Consistent Machine Learning for Core Porosity Prediction from Conventional Well Logs: Multi-Basin Application in the Southern Dutch Rift System

Number of pages: 44 Posted: 09 May 2026
Karlsruhe Institute of Technology, Karlsruhe Institute of Technology, affiliation not provided to SSRN, TNO Netherlands Organisation for Applied Scientific Research and Karlsruhe Institute of Technology
Downloads 6 (1,566,597)

Abstract:

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Machine learning, Porosity prediction, Core-log upscaling, petrophysics, Uncertainty, West Netherlands Basin