Research output per year
Research output per year
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Dive into the research topics where Zeeshan Tariq is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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 Deep Learning Framework to Forecast Spatial-Temporal Dynamics of CO2 Mineralization in Reactive Rocks
Tariq, Z., Yan, B. & Sun, S., 2023, Society of Petroleum Engineers - ADIPEC, ADIP 2023. Society of Petroleum Engineers, (Society of Petroleum Engineers - ADIPEC, ADIP 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
A fast method to infer Nuclear Magnetic Resonance based effective porosity in carbonate rocks using machine learning techniques
Tariq, Z., Gudala, M., Yan, B., Sun, S. & Mahmoud, M., Jan 11 2023, In: Geoenergy Science and Engineering. p. 211333Research output: Contribution to journal › Article › peer-review
14 Scopus citations -
An Intelligent Safe Well Bottom-Hole Pressure Monitoring of CO2 Injection Well into Deep Saline: A coupled Hydro-Mechanical Approach
Tariq, Z., Yan, B. & Sun, S., Mar 7 2023, Day 1 Sun, February 19, 2023. SPEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
5 Scopus citations -
Application of a Novel Green and Biocompatible Clay Swelling Inhibitor in Fracturing Fluid Design
Murtaza, M., Tariq, Z., Kamal, M. S., Rana, A., Patil, S., Mahmoud, M. & Al-Shehri, D., May 15 2023, Day 3 Wed, May 24, 2023. SPEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Application of Image Processing Techniques in Deep-Learning Workflow to Predict CO2 Storage in Highly Heterogeneous Naturally Fractured Reservoirs: A Discrete Fracture Network Approach
Tariq, Z., Yan, B. & Sun, S., Mar 7 2023, Day 1 Sun, February 19, 2023. SPEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
4 Scopus citations -
A Robust General Physics-Informed Machine Learning Framework for Energy Recovery Optimization in Geothermal Reservoirs
Xu, Z., Gudala, M., Yan, B., Tariq, Z. & Abdullah, K., 2023, Society of Petroleum Engineers - SPE EuropEC - Europe Energy Conference featured at the 84th EAGE Annual Conference and Exhibition, EURO 2023. Society of Petroleum Engineers, (Society of Petroleum Engineers - SPE EuropEC - Europe Energy Conference featured at the 84th EAGE Annual Conference and Exhibition, EURO 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
4 Scopus citations -
Data-Driven Machine Learning Modeling of Mineral/CO2/Brine Wettability Prediction: Implications for CO2 Geo-Storage
Tariq, Z., Ali, M., Yan, B., Sun, S., Khan, M., Yekeen, N. & Hoteit, H., 2023, Society of Petroleum Engineers - Middle East Oil, Gas and Geosciences Show, MEOS 2023. Society of Petroleum Engineers (SPE), (SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
19 Scopus citations -
Deep-Learning-Based Surrogate Model to Predict CO2 Saturation Front in Highly Heterogeneous Naturally Fractured Reservoirs: A Discrete Fracture Network Approach
Tariq, Z., Xu, Z., Gudala, M., Yan, B. & Sun, S., Jan 24 2023, Day 2 Wed, January 25, 2023. SPEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
4 Scopus citations
Press/Media
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Researchers' Work from King Abdullah University of Science and Technology (KAUST) Focuses on Chemicals and Chemistry (Towards Rapid Prediction of Nuclear Magnetic Resonance-based Bimodal Porosities: an Example From the Middle Eastern Carbonate ...)
07/30/24
1 item of Media coverage
Press/Media: Press / Media
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Reports on Machine Learning Findings from King Fahd University of Petroleum and Minerals Provide New Insights (Prediction of Foam Rheology Models Parameters Utilizing Machine Learning Tools)
05/22/24
1 item of Media coverage
Press/Media: Press / Media
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Findings in Machine Learning Reported from King Abdullah University of Science and Technology (KAUST) (An Experimental Study and Machine Learning Modeling of Shale Swelling In Extended Reach Wells When Exposed To Diverse Water-based Drilling ...)
04/9/24
1 item of Media coverage
Press/Media: Press / Media
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Researchers from King Abdullah University of Science and Technology (KAUST) Report Details of New Studies and Findings in the Area of Machine Learning (Physics-informed Machine Learning for Reservoir Management of Enhanced Geothermal Systems)
Sun, S., Finkbeiner, T., Yan, B., Gudala, M. & Tariq, Z.
04/9/24
1 item of Media coverage
Press/Media: Press / Media
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King Abdullah University of Science and Technology (KAUST) Reports Findings in Machine Learning (Fractured Geothermal Reservoir Using CO2 as Geofluid: Numerical Analysis and Machine Learning Modeling)
Sun, S., Yan, B., Gudala, M. & Tariq, Z.
03/13/24
1 item of Media coverage
Press/Media: Press / Media
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Investigators at King Abdullah University of Science and Technology (KAUST) Report Findings in Machine Learning (Enhancing Wettability Prediction In the Presence of Organics for Hydrogen Geo-storage Through Data-driven Machine Learning Modeling ...)
Sun, S., Hoteit, H., Ali, M., Yan, B., Tariq, Z. & Ali, M.
12/14/23
1 item of Media coverage
Press/Media: Press / Media