Research output per year
Research output per year
Personal profile
Research Interests
Professor Yan's current research interests are physics-driven modeling and data-driven modeling for complex subsurface processes related to energy and environmental domains. He has worked in areas including reservoir simulation, multi-porosity modeling for flow and transport in heterogeneous porous media (mainly shale), integrating physics with data analytics in unconventional field and carbon storage management, history matching and stochastic optimization.
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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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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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Feasibility Analysis of Hydrogen Storage in Depleted Natural Reservoirs Through a Multi-Phase Reservoir Simulator
Huang, T., Moridis, G. J., Blasingame, T. A., Alafifi, A. M. & Yan, B., Jan 24 2023, Day 3 Thu, January 26, 2023. SPEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Reservoir Modeling and Optimization Based on Deep Learning with Application to Enhanced Geothermal Systems
Yan, B., Xu, Z., Gudala, M., Tariq, Z. & Finkbeiner, T., Jan 24 2023, Day 2 Wed, January 25, 2023. SPEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Gradient-based Deep Neural Network Model for Simulating Multiphase Flow in Porous Media
Yan, B., Harp, D. R., Chen, B., Hoteit, H. & Pawar, R. J., May 10 2022, In: Journal of Computational Physics. p. 111277Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
A Machine Learning Based Accelerated Approach to Infer the Breakdown Pressure of the Tight Rocks
Tariq, Z., Yan, B., Sun, S., Gudala, M. & Mahmoud, M., Oct 31 2022, Day 2 Tue, November 01, 2022. SPEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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An Effective Method of Estimating Nuclear Magnetic Resonance Based Porosity Using Deep Learning Approach
Tariq, Z., Gudala, M., Xu, Z., Yan, B., Sun, S. & Mahmoud, M., Oct 31 2022, Day 3 Wed, November 02, 2022. SPEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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COMPARISON OF SUPERCRITICAL CO2 WITH WATER AS GEOFLUID IN GEOTHERMAL RESERVOIRS WITH NUMERICAL INVESTIGATION USING FULLY COUPLED THERMO-HYDRO-GEOMECHANICAL MODEL
Gudala, M., Govindarajan, S. K., Yan, B. & Sun, S., Sep 7 2022, In: Journal of Energy Resources Technology. p. 1-33 33 p.Research output: Contribution to journal › Article › peer-review