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Rayan Kanfar

3 papers hereh-index 587 citations10 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.geo-ph2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedReal-Time Well Log Prediction From Drilling Data Using Deep Learning

60 citations · 71 across the 3 of their papers we have counts for

collaborators

3 papers

physics.geo-ph2025

Pix2Geomodel: A Next-Generation Reservoir Geomodeling with Property-to-Property Translation

Abdulrahman Al-Fakih, Ardiansyah Koeshidayatullah, Nabil A. Saraih +4

Accurate geological modeling is critical for reservoir characterization, yet traditional methods struggle with complex subsurface heterogeneity, and they have problems with conditi…

cs.LG2023★ 11 cited

Learning CO2​ plume migration in faulted reservoirs with Graph Neural Networks

Xin Ju, François P. Hamon, Gege Wen +3

Deep-learning-based surrogate models provide an efficient complement to numerical simulations for subsurface flow problems such as CO2​ geological storage. Accurately capturing t…

physics.geo-ph2020★ 60 cited

Real-Time Well Log Prediction From Drilling Data Using Deep Learning

Rayan Kanfar, Obai Shaikh, Mehrdad Yousefzadeh +1

The objective is to study the feasibility of predicting subsurface rock properties in wells from real-time drilling data. Geophysical logs, namely, density, porosity and sonic logs…

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