Manojkumar Gudala

Research Interests

My research focuses on developing mathematical and numerical models for CO2 injection, near-wellbore dynamics, and geothermal reservoir modeling using fully coupled THM/C models. It also explores flow through fractures and wellbores (TH). Additionally, I develop machine learning and deep learning models for optimization frameworks in field development and uncertainty quantification in porous media applications

Selected Publications

Doublet huff and puff: A new technology for efficient geological CO2 sequestration and stable geothermal recovery, M Gudala, B Yan, Z Tariq, F Zhang, S Sun Applied Energy 367, 123349

Physics -informed machine learning for noniterative optimization in geothermal energy recovery B Yan, M Gudala, H Hoteit, S Sun, W Wang, L Jiang Applied Energy 365, 123179

Fractured Geothermal Reservoir Using CO2 as Geofluid: Numerical Analysis and Machine Learning Modeling M Gudala, Z Tariq, SK Govindarajan, B Yan, S Sun ACS omega 9 (7), 7746-7769

Numerical investigations and evaluation of a puga geothermal reservoir with horizontal wells using a fully coupled thermo-hydro-geomechanical model (THM) and EDAS associated … M Gudala, SK Govindarajan, Z Tariq, B Yan, S Sun Geoenergy Science and Engineering 228, 212035

Robust optimization of geothermal recovery based on a generalized thermal decline model and deep learning B Yan, M Gudala, S Sun Energy Conversion and Management 286, 117033

Comparison of Supercritical CO2 With Water as Geofluid in Geothermal Reservoirs With Numerical Investigation Using Fully Coupled Thermo-Hydro … M Gudala, SK Govindarajan, B Yan, S Sun Journal of Energy Resources Technology 145 (6), 061302

Numerical investigations of the PUGA geothermal reservoir with multistage hydraulic fractures and well patterns using fully coupled thermo-hydro-geomechanical modeling M Gudala, SK Govindarajan, B Yan, S Sun Energy 253, 124173

Numerical investigations on a geothermal reservoir using fully coupled thermo-hydro-geomechanics with integrated RSM-machine learning and ARIMA models SKG Manojkumar Gudala Geothermics 96, 102174

Chemical Affinity Modeling of Methane Hydrate Formation and Dissociation in the Presence of Surfactants M Gudala, SK Govindarajan, A Mandal Energy & Fuels 34 (1), 319-331

Hydrodynamics and energy analysis of heavy crude oil transportation through horizontal pipelines using novel surfactant M Gudala, S Banerjee, TK Naiya, A Mandal, T Subbaiah, TRM Rao Journal of Petroleum Science and Engineering 178, 140-151

Education

Ph. D., Petroleum Engineering, IIT(ISM), Dhanbad, Jharkhand, India, 2019

M. Tech, Petroleum Engineering, IIT(ISM), Dhanbad, Jharkhand, India, 2013

B.E, Mechanical Engineering, Osmania University, Hyderabad, Telangana, India, 2011

Professional Profile

2022-2024: Postdoctoral Fellow, DGym, KAUST, Thuwal, Sudi Arabia.

2019- 2022: Institute Postdoctoral Fellow, RSL, IIT Madras, Chennai, Tamil Nadu, India

Scientific and Professional Membership

· Society of Petroleum Engineers

· EAGE

Awards

MHRD fellowship India.

KAUST Affiliations

Physical Science and Engineering Division (PSE)

Research Interests Keywords

Mathematical and numerical modeling Flow through porous and fracture media Geothermal reservoir modeling (THM modeling) Machine Learning Deep learning