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fatemeh Mohammadinia

I hold a degree in Petroleum Engineering from Persian Gulf University, Bushehr, Iran. I'm passionate about integrating artificial intelligence into various industries, especially the oil and gas sector. My graduation project focused on using machine learning for Hydraulic Flow Unit classification, resulting in a published article. I also gained valuable experience working in a research team at the Oil and Gas Research Center, where I collaborated on solving complex industry-related problems. Alongside my academic work, I actively participated in student research centers and published several international articles. Additionally, I have expertise in specialized petroleum software like Petrel and Geolog, as well as coding tools such as MATLAB and Python.
Living in : Iran
Gender : FemaleRace : Middle Eastern
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Academic Profile
Posts

Contact Information

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fatemehMohammadiniaApplyChance Link

Educations

Persian Gulf University Bushehr logo
Petroleum EngineeringBachelor'sPersian Gulf University Bushehr2022-12-13 Iran
Supervisor's name :Dr. Ali Ranjbr
Title :
Application of machine learning algorithms in classification the flow units of the Kazhdumi reservoir in one of the oil fields in southwest of Iran

Work Experiences

Research Assistance
at Sustainable Exploitation
I am currently working in this role
Researcher
at UPES university, India
Start : 07-Sep-2020
End : 22-Dec-2020
Researcher
at Rahneshan
Start : 09-Sep-2020
End : 25-Mar-2021
Programmer
at Sazand Kavane Frozan Co.
Start : 03-Jan-2021
End : 11-Sep-2023
Teaching Assistant
at Persian Gulf University
Start : 09-Oct-2023
End : 11-Feb-2024

Conferences

Your Presentation Title :
In-situ stress estimation using machine learning algorithms and drilling data In-situ stress estimation using machine learning algorithms and drilling data
Conference Name :4th international biennial
Iran
2023
Your Presentation Title :
Optimal mud weight window calculation using machine learning methods
Conference Name :4th international biennial con
Iran
2023
Your Presentation Title :
Performance of multi-layer perceptron neural network in estimating the minimum mixing pressure of CO2 compared to conventional methods
Conference Name :4th international biennial con
Iran
2023
Your Presentation Title :
Young modulus estimation from drilling data using random forest and LSBoost methods young modulus estimation from drilling data using random forest and LSBoost methods
Conference Name :8th Iranian Rock Mechanics Con
Iran
2022

Journal Publications

Publication Title :
Application of machine learning algorithms in classification the flow units of the Kazhdumi reservoir in one of the oil fields in southwest of Iran First author
Journal :
Journal of Petroleum Exploration and Production Technology
Link :
View Link
Publication Title :
Shale Volume Estimation using ANN, SVR, and RF Algorithms Compared with Conventional MethodsFirst author
Journal :
Journal of African Earth Sciences
Link :
View Link

Research Keywords

Machine Learning
Deep Learning
Geomechanics
Petrophysics
Enhance Oil Recovery

References

Ali Ranjbar
ali.ranjbar@pgu.ac.ir
Mohammad Sedaghat
mailto:m.sedaghat@uq.edu.au