Research output per year
Research output per year
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Dive into the research topics where Manojkumar Gudala 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 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
10 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 -
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 -
Enhancing Breakdown Pressure Predictions in Ultra-Tight Formations through Robust Machine Learning Techniques
Mustafa, A., Tariq, Z., Gudala, M., Yan, B., Sun, S. & Mahmoud, M., 2023, 57th US Rock Mechanics/Geomechanics Symposium. American Rock Mechanics Association (ARMA), (57th US Rock Mechanics/Geomechanics Symposium).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Geothermal Reservoir Optimization Empowered by a Generalized Thermal Decline Model and Deep Learning
Yan, B., Gudala, M., Sun, S. & Gao, S., Jun 2023, 84th EAGE Annual Conference & Exhibition.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Numerical investigations and evaluation of a puga geothermal reservoir with horizontal wells using a fully coupled thermo-hydro-geomechanical model (THM) and EDAS associated with AHP
Gudala, M., Govindarajan, S. K., Tariq, Z., Yan, B. & Sun, S., Jun 27 2023, In: Geoenergy Science and Engineering. 228, p. 212035Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Numerical Investigations on Induced Seismicity and Fracture Activation in Fractured Geothermal Reservoirs
Gudala, M., Xu, Z., Tariq, Z., Yan, B. & Sun, S., Jun 2023, 84th EAGE Annual Conference & Exhibition.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
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
1 Scopus citations
Press/Media
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Study Results from King Abdullah University of Science and Technology (KAUST) in the Area of Machine Learning Reported (Physics-informed Machine Learning for Noniterative Optimization In Geothermal Energy Recovery)
Sun, S., Hoteit, H., Yan, B. & Gudala, M.
07/2/24
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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Reports Summarize Machine Learning Study Results from King Abdullah University of Science and Technology (KAUST) (A Fast Method To Infer Nuclear Magnetic Resonance Based Effective Porosity In Carbonate Rocks Using Machine Learning Techniques)
Sun, S., Yan, B., Gudala, M. & Tariq, Z.
08/22/23
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 Energy Conversion and Management (Robust Optimization of Geothermal Recovery Based On a Generalized Thermal ...)
06/20/23
1 item of Media coverage
Press/Media: Press / Media
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Reports from King Abdullah University of Science and Technology (KAUST) Highlight Recent Findings in Fuel Research (Spatial-temporal Prediction of Minerals Dissolution and Precipitation Using Deep Learning Techniques: an Implication To ...)
Sun, S., Hoteit, H., Yan, B., Gudala, M. & Tariq, Z.
06/2/23
1 item of Media coverage
Press/Media: 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)
Sun, S., Yan, B., Gudala, M. & Tariq, Z.
12/12/22
1 item of Media coverage
Press/Media: Press / Media