Alirez Kazemi

عرض الملف الشخصي الخاص بـ Scopus

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نتاج الأبحاث سنويًا

إذا أجريت أي تغييرات في Pure، فستكون هذه التغييرات مرئية هنا قريبًا.

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., يناير 1 2023, في: Journal of Petroleum Science and Engineering. 220, 111162.
نتاج البحث: المساهمة في مجلة › Article › مراجعة النظراء

3 اقتباسات (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., مايو 2023, في: SPE Production and Operations. 38, 2, صفحة 286-304 19 صفحة
نتاج البحث: المساهمة في مجلة › Article › مراجعة النظراء

2 اقتباسات (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, صفحة 75-91 17 صفحة (SpringerBriefs in Petroleum Geoscience and Engineering).
نتاج البحث: Chapter
Field Development Optimization Under Geological Uncertainty
Yousefzadeh, R., Kazemi, A., Ahmadi, M. & Gholinezhad, J., 2023, SpringerBriefs in Petroleum Geoscience and Engineering. Springer Nature, صفحة 93-113 21 صفحة (SpringerBriefs in Petroleum Geoscience and Engineering).
نتاج البحث: Chapter
Geological Uncertainty Quantification
Yousefzadeh, R., Kazemi, A., Ahmadi, M. & Gholinezhad, J., 2023, SpringerBriefs in Petroleum Geoscience and Engineering. Springer Nature, صفحة 15-42 28 صفحة (SpringerBriefs in Petroleum Geoscience and Engineering).
نتاج البحث: Chapter

1 اقتباس (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
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1 عنصر من تغطية إعلامية
الصحافة/الإعلام: 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
٧/١٧/٢٣
1 عنصر من تغطية إعلامية
الصحافة/الإعلام: Press / Media

Kazemi Alirez

أوجه التعاون ومجالات البحث الرئيسية خلال السنوات الخمس الماضية

دراسة التفاصيل بدقة

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

أوجه التعاون ومجالات البحث الرئيسية خلال السنوات الخمس الماضية

نتاج البحث

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

الصحافة / وسائل الإعلام

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)