Pejman Shoeibi Omrani

Author

Winterthur Museum Garden and Library ORCID

Also Known As

Omrani, Pejman Shoeibi, P. Shoeibi Omrani, Pejman S. Omrani, Pejman Shoeibi Omrani, Shoeibi Omrani, Pejman

Publications

294

Citations

H-Index

Concepts

All Affiliations

Winterthur Museum Garden and Library

About

Pejman Shoeibi Omrani is an author at Winterthur Museum Garden and Library specializing in engineering, machine learning, and petroleum production.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	203
2	Data Science	4	4	73
3	Computer Science	3	3	78
4	Management	2	2	37
5	Chemical Engineering	1	1	35

Pejman Shoeibi Omrani

Publications

203

Citations

H-Index

Page 1

	Year	Citations
Stochastic analysis of the impact of freestream conditions on the aerodynamics of a rectangular 5:1 cylinder Alessandro Mariotti, Maria Vittoria Salvetti, Pejman Shoeibi Omrani, Computers & Fluids Unsteady FlowEngineeringAerospace EngineeringFluid MechanicsFlow Physic	2016	44
Improving the Accuracy of Virtual Flow Metering and Back-Allocation through Machine Learning Pejman Shoeibi Omrani, Iulian Dobrovolschi, Stefan Belfroid, Artificial IntelligenceEngineeringMachine LearningIndustrial EngineeringPetroleum Production Engineering	2018	41
Effect of reactive surface area of minerals on mineralization and carbon dioxide trapping in a depleted gas reservoir Panteha Bolourinejad, Pejman Shoeibi Omrani, Rien Herber International journal of greenhouse gas control Carbon DioxideChemical EngineeringEnvironmental ChemistryEngineeringGaseous Reduction	2013	35
Deep Learning History Matching For Real Time Production Forecasting Kenneth J. Loh, Pejman Shoeibi Omrani, Roderick van der Linden Proceedings Forecasting MethodologyEngineeringMachine LearningRecurrent Neural NetworkData Assimilation	2018	27
Deep Learning and Hybrid Approaches Applied to Production Forecasting Pejman Shoeibi Omrani, Adrian Luciano Vecchia, Iulian Dobrovolschi, Forecasting MethodologyEngineeringMachine LearningData ScienceEvent Understanding	2019	20
Deep Learning and Data Assimilation for Real-Time Production Prediction in Natural Gas Wells Kelvin Loh, Pejman Shoeibi Omrani, Ruud van der Linden arXiv (Cornell University) Forecasting MethodologyEngineeringMachine LearningSalt DepositionGas Flow Rates	2018	16
Prediction of Well Production Event Using Machine Learning Algorithms Yara Alatrach, Carlos Mata, Pejman Shoeibi Omrani, Anomaly DetectionMachine LearningEngineeringAutoencodersAbnormal Events	2020	10
Overview of Opportunities and Challenges of Electrical Submersible Pumps ESP in the Geothermal Energy Production Systems Pejman Shoeibi Omrani, K. van der Valk, Wim Bos, EngineeringEnergy EfficiencyWell StimulationDrillingFluid Properties	2021	10

Page 1