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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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
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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
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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
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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
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Deep Learning Solves Complex Physics With an Example of CO2 Mineralization
Tariq, Z. & Yan, B., Mar 2023, SPE Data Science and Engineering Analytics Technical Section (DSEATS) Newsletter.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Machine learning accelerated approach to infer nuclear magnetic resonance porosity for a middle eastern carbonate reservoir.
Mustafa, A., Tariq, Z., Mahmoud, M. & Abdulraheem, A., Mar 9 2023, In: Scientific Reports. 13, 1Research output: Contribution to journal › Article › peer-review
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Numerical Investigations on the Doublet Huff and Puff Technology to Extract Heat from the Geothermal Reservoirs and Storing of CO2
Gudala, M., Tariq, Z., Yan, B. & Sun, S., Feb 28 2023, Day 3 Fri, March 03, 2023. IPTCResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Physics Informed Surrogate Model Development in Predicting Dynamic Temporal and Spatial Variations During CO2 Injection into Deep Saline Aquifers
Tariq, Z., Yan, B. & Sun, S., Jan 24 2023, Day 2 Wed, January 25, 2023. SPEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
Press/Media
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Data on Machine Learning Reported by Researchers at King Abdullah University of Science and Technology (KAUST) (Machine Learning-based Accelerated Approaches To Infer Breakdown Pressure of Several Unconventional Rock Types)
Shuyu Sun, Bicheng Yan, Manojkumar Gudala & Zeeshan Tariq
12/12/22
1 item of Media coverage
Press/Media: Press / Media
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US Patent Issued to SAUDI ARABIAN OIL, KING FAHD UNIVERSITY OF PETROLEUM & MINERALS on Sept. 27 for "Methods for wellbore formation using thermochemicals" (Saudi Arabia Inventors)
09/28/22
1 item of Media coverage
Press/Media: Press / Media
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US Patent Issued to SAUDI ARABIAN OIL, KING FAHD UNIVERSITY OF PETROLEUM & MINERALS on May 24 for "Reduction of breakdown pressure by filter cake removal using thermochemicals" (Saudi Arabia Inventors)
05/25/22
1 item of Media coverage
Press/Media: Press / Media
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