Alirez Kazemi

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36 Article
16 Conference contribution
6 Chapter
1 Editorial

An insight into the microorganism growth prediction by means of machine learning approaches
Bemani, A., Kazemi, A. & Ahmadi, M., Jan 1 2023, In: Journal of Petroleum Science and Engineering. 220, 111162.
Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)
An Insight into the Prediction of Scale Precipitation in Harsh Conditions Using Different Machine Learning Algorithms
Yousefzadeh, R., Bemani, A., Kazemi, A. & Ahmadi, M., May 2023, In: SPE Production and Operations. 38, 2, p. 286-304 19 p.
Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)
Dimensionality Reduction Methods Used in History Matching
Yousefzadeh, R., Kazemi, A., Ahmadi, M. & Gholinezhad, J., 2023, SpringerBriefs in Petroleum Geoscience and Engineering. Springer Nature, p. 75-91 17 p. (SpringerBriefs in Petroleum Geoscience and Engineering).
Research output: Chapter in Book/Report/Conference proceeding › Chapter
Field Development Optimization Under Geological Uncertainty
Yousefzadeh, R., Kazemi, A., Ahmadi, M. & Gholinezhad, J., 2023, SpringerBriefs in Petroleum Geoscience and Engineering. Springer Nature, p. 93-113 21 p. (SpringerBriefs in Petroleum Geoscience and Engineering).
Research output: Chapter in Book/Report/Conference proceeding › Chapter
Geological Uncertainty Quantification
Yousefzadeh, R., Kazemi, A., Ahmadi, M. & Gholinezhad, J., 2023, SpringerBriefs in Petroleum Geoscience and Engineering. Springer Nature, p. 15-42 28 p. (SpringerBriefs in Petroleum Geoscience and Engineering).
Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Citation (Scopus)

Investigators from Sultan Qaboos University Zero in on Machine Learning (Machine Learning Assisted Modeling of Interfacial Tension In the System N2/brine)
Adel Al-Ajmi, Alirez Kazemi & G. Reza Vakili-Nezhaad
9/11/23
1 item of Media coverage
Press/Media: Press / Media
New Machine Learning Study Results Reported from Sultan Qaboos University (An Insight Into the Prediction of Scale Precipitation In Harsh Conditions Using Different Machine Learning Algorithms)
Alirez Kazemi
7/17/23
1 item of Media coverage
Press/Media: Press / Media

Kazemi Alirez

Collaborations and top research areas from the last five years

Dive into details

An insight into the microorganism growth prediction by means of machine learning approaches

An Insight into the Prediction of Scale Precipitation in Harsh Conditions Using Different Machine Learning Algorithms

Dimensionality Reduction Methods Used in History Matching

Field Development Optimization Under Geological Uncertainty

Geological Uncertainty Quantification

Investigators from Sultan Qaboos University Zero in on Machine Learning (Machine Learning Assisted Modeling of Interfacial Tension In the System N2/brine)

New Machine Learning Study Results Reported from Sultan Qaboos University (An Insight Into the Prediction of Scale Precipitation In Harsh Conditions Using Different Machine Learning Algorithms)

Kazemi Alirez

Collaborations and top research areas from the last five years

Research output

An insight into the microorganism growth prediction by means of machine learning approaches

An Insight into the Prediction of Scale Precipitation in Harsh Conditions Using Different Machine Learning Algorithms

Dimensionality Reduction Methods Used in History Matching

Field Development Optimization Under Geological Uncertainty

Geological Uncertainty Quantification

Press/Media

Investigators from Sultan Qaboos University Zero in on Machine Learning (Machine Learning Assisted Modeling of Interfacial Tension In the System N2/brine)

New Machine Learning Study Results Reported from Sultan Qaboos University (An Insight Into the Prediction of Scale Precipitation In Harsh Conditions Using Different Machine Learning Algorithms)