Iraqi Academic Scientific Journals

Estimation of Rate of Penetration Considering Mechanical, Hydraulic, and Formation Characteristics for Mishref Formation

Kadhim Hmood Mnati

Journal of Petroleum Research & Studies, 2017, Volume , Issue 17, Pages E20-E38

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Correlation of Penetration Rate with Drilling Parameters For an Iraqi Field Using Mud Logging Data

Hassan Abdul Hadi

Iraqi Journal of Chemical and Petroleum Engineering, 2015, Volume 16, Issue 3, Pages 35-44

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Prediction of penetration Rate and cost with Artificial Neural Network for Alhafaya Oil Field

Kadhim Hmood Mnati, Hassan Abdul Hadi

Iraqi Journal of Chemical and Petroleum Engineering, 2018, Volume 19, Issue 4, Pages 21-27

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Enhancing Drilling Parameters in Majnoon Oilfield

Majid M. Majeed, Ayad A. Alhaleem

Iraqi Journal of Chemical and Petroleum Engineering, 2019, Volume 20, Issue 2, Pages 71-75

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An Artificial Neural Network for Predicting Rate of Penetration in AL- Khasib Formation – Ahdeb Oil Field

Zaher JabbarAttwan AL Zirej*, Hassan Abdul Hadi

Iraqi Journal of Science, 2020, Volume 61, Issue 5, Pages 1051-1062

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Bit Record Analysis for Bits Evaluating and Selection

Amel Habeeb Assi

Journal of Engineering, 2017, Volume 23, Issue 10, Pages 97-113

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Optimization of Hole Cleaning In Iraqi Directional Oil Wells

Ayad A. Al-Haleem, Abd Al-Razzaq, Abdul-Aali Dabbaj, Firas Mohammed Hadi

Journal of Engineering, 2016, Volume 22, Issue 7, Pages 108-117

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Using Artificial Neural Network to Predict Rate of Penetration from Dynamic Elastic Properties in Nasiriya Oil Field

Yasser A. Khudhaier, Fadhil S. Kadhim, Yousif K. Yousif

Iraqi Journal of Chemical and Petroleum Engineering, 2020, Volume 21, Issue 2, Pages 7-14

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Using Adaptive Neuro Fuzzy Inference System to Predict Rate of Penetration from Dynamic Elastic Properties

Yasser Abbas Khudhaier, Fadhil Sarhan Kadhim, Yousif Khalaf Yousif

Journal of Engineering, 2020, Volume 26, Issue 7, Pages 45-61

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Estimation of Rate of Penetration Considering Mechanical, Hydraulic, and Formation Characteristics for Mishref Formation

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Correlation of Penetration Rate with Drilling Parameters For an Iraqi Field Using Mud Logging Data

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Prediction of penetration Rate and cost with Artificial Neural Network for Alhafaya Oil Field

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Enhancing Drilling Parameters in Majnoon Oilfield

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An Artificial Neural Network for Predicting Rate of Penetration in AL- Khasib Formation – Ahdeb Oil Field

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Bit Record Analysis for Bits Evaluating and Selection

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Optimization of Hole Cleaning In Iraqi Directional Oil Wells

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Using Artificial Neural Network to Predict Rate of Penetration from Dynamic Elastic Properties in Nasiriya Oil Field

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Using Adaptive Neuro Fuzzy Inference System to Predict Rate of Penetration from Dynamic Elastic Properties

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