Mohammad Amir

Ekstern tilknyttet UiS

Mohammad Amir

Kontakt

E-post: mohammad.amir@uis.no

Organisasjonsenhet

Det teknisk-naturvitenskapelige fakultet

Institutt for data- og elektroteknologi

Publikasjoner

Vitenskapelige publikasjoner

Mohammad, Amir; Agonafir, Mesfin Belayneh; Davidrajuh, Reggie

(2023)

Physics-Based Swab and Surge Simulations and the Machine Learning Modeling of Field Telemetry Swab Datasets.

Applied Sciences.

ISSN 2076-3417.

Volum 13.

Hefte 18.

DOI: 10.3390/app131810252

Mohammed, Amir; Agonafir, Mesfin Belayneh

(2023)

New Simple Analytical Surge/Swab Pressure Model for Power-Law and Modified Yield-Power-Law Fluid in Concentric/Eccentric Geometry.

Applied Sciences.

ISSN 2076-3417.

Volum 13.

Hefte 23.

DOI: 10.3390/app132312867

Mohammad, Amir; Davidrajuh, Reggie

(2022)

Modeling of Swab and Surge Pressures: A Survey.

Applied Sciences.

ISSN 2076-3417.

Volum 12.

Hefte 7.

DOI: 10.3390/app12073526

Mohammad, Amir; Davidrajuh, Reggie

(2022)

A Review of Four Prominent Works on Swab and Surge Mathematical Models.

International Journal of Simulation. Systems, Science and Technology.

ISSN 1473-8031.

DOI: 10.5013/IJSSST.a.23.01.08

Mohammed, Amir; Karunakaran, Subankan; Panchalingam, Mithushankar; Davidrajuh, Reggie

(2022)

Prediction of Downhole Pressure while Tripping. I: 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks CICN 2022.

IEEE Press.

ISBN 978-1-6654-8771-9.

DOI: 10.1109/CICN56167.2022.10008376