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T. Kurotori

2 papers hereh-index 11299 citations29 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CE1
  • physics.geo-ph1

identity via Semantic Scholar / OpenAlex

most citedHistory-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs)

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

physics.geo-ph2025

Sensitivity of Trapping Efficiency and Relative Permeability to Experimental Methodology in Laboratory Core Flooding

Catherine Spurin, Catherine Callas, Takeshi Kurotori +2

Understanding the migration and trapping of CO2​ in the subsurface is vital to geologic carbon storage projects. Traditional characterization methods employ steady-state co-injec…

cs.CE2024★ 1 cited

History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs)

Jassem Abbasi, Ben Moseley, Takeshi Kurotori +4

We propose a workflow based on physics-informed neural networks (PINNs) to model multiphase fluid flow in fractured porous media. After validating the workflow in forward and inver…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.