LabCompass

Amirreza Mehrabi

Engineering · Purdue University West Lafayette

Early career · publishing since 2020Rising activity

Publications

19

Citations

102

Est. group size

~1

Recurring co-author estimate

Active years

7

Publishing since 2020

Research summary
AI-generated

Amirreza Mehrabi works on applying deep learning and neural network methods to problems in subsurface reservoir characterization, such as estimating porosity (a measure of rock's ability to store fluids) from well log data and denoising seismic survey signals. This work supports oil, gas, and geothermal reservoir analysis by improving how underground rock properties are estimated from indirect measurements. An earlier publication also touched on wind turbine performance modeling, suggesting some background in energy systems more broadly.

Deep learning for reservoir characterizationPorosity estimation from well logsSeismic data denoising with neural networksCarbonate reservoir analysisRenewable energy systems (wind/hydrogen)

Publication activity was minimal or absent for most of the past decade but increased sharply starting in 2024, with several papers per year since then.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.6/year recently
1718192020: 1 publication202122232024: 11 publications11242025: 4 publications252026: 3 publications26
Publishes in
  • Research Square×2
  • arXiv (Cornell University)×2
  • Earth Science Informatics×1
  • International Journal of Hydrogen Energy×1
  • Physical Review Physics Education Research×1
Similar researchers
By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

Claim or correct this profile