Projects per year
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A comprehensive study on CO2/brine/hydrocarbon IFT for CO2 storage
1/1/24 → 12/31/25
Project: Internal Grants (IG)
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Wellbore Damage (Skin) Measurements for Occidental Mukhaizna Plugs
1/1/11 → 12/31/13
Project: HM Grants ( Strategic)
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Wellbore Damage (Skin) Measurements for Occidental Mukhaizna Plugs
1/1/11 → 12/31/13
Project: Collaborative Project
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Formation damage Control and Mitigation Services for MEDCO
1/1/11 → 12/31/11
Project: HM Grants ( Strategic)
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Harnessing deep transient testing for reservoir characterization and CO2 emission reduction in challenging geological settings
Motaei, E., Ganat, T., Azhar, K. & Al-Hadrami, H., Jan 1 2024, In: Petroleum Research.Research output: Contribution to journal › Article › peer-review
Open Access -
Optimizing gas production with innovative approach to evaporative halite precipitation and liquid loading management
Al Siyabi, R., Ganat, T. & Al-Hadrami, H., 2024, In: Journal of Physics: Conference Series. 2701, 1, 012086.Research output: Contribution to journal › Conference article › peer-review
Open Access -
A new developed thermal model to predict formation failure in vertical wells during steam injection
Al-Ajmi, H. M., Al-Ajmi, A. M. & Al-Hadrami, H. K., Jan 1 2023, In: International Journal of Oil, Gas and Coal Technology. 32, 1, p. 48-69 22 p.Research output: Contribution to journal › Article › peer-review
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Black powder formation in natural gas pipeline networks: associated issues and root cause analysis
Mohsenzadeh, A., Joshi, S., Al-Fahdi, K., Seiedi, O. & Al-Hadrami, H., Jan 1 2023, Challenges and Recent Advances in Sustainable Oil and Gas Recovery and Transportation. Elsevier, p. 329-346 18 p. (Challenges and Recent Advances in Sustainable Oil and Gas Recovery and Transportation).Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Enhancing Drilling Fluid Lost-circulation Prediction: Using Model Agnostic and Supervised Machine Learning
Otchere, D. A., Mohammed, M. A. A., Al-Hadrami, H. & Boakye, T. B., Nov 13 2023, Data Science and Machine Learning Applications in Subsurface Engineering. CRC Press, p. 6-32 27 p. (Data Science and Machine Learning Applications in Subsurface Engineering).Research output: Chapter in Book/Report/Conference proceeding › Chapter