0000-0002-2442-8891 About
Mohatsim A Mahetaji is a dedicated professional with a strong background in petroleum engineering, geomechanics, and geoscience. His Ph.D. in Petroleum Engineering with a focus on "Wellbore Stability and Design of Safe Well in Geomechanics," he excels in geomechanics related to wellbore stability, sand production, hydrofracturing, and CO2 sequestration.
His educational qualifications include a B.E. degree in Mechanical Engineering and an M.Tech. degree in Petroleum Engineering. Mohatsim has practical expertise in rock testing, geomechanical analysis, pore pressure estimation, fracture pressure prediction, and validation using methods like Mini-frac, LOT and XLOT tests.
Mohatsim's research interests encompass computational analysis, artificial intelligence, data science, wellside geomechanics, geoscience, formation evaluation, drilling, and petroleum exploration. He has worked on significant research projects, including "Geoscientific Data Interpretation of the Kutch and Saurashtra Basin," funded by the Directorate General of Hydrocarbons.
He has an impressive publication record in reputable journals and presentations at international conferences, covering topics such as geomechanics, 3D failure criteria, pore pressure prediction, and wellbore stability.
In addition to his research skills, Mohatsim possesses excellent computer skills, including programming in MATLAB and Python, and is well-versed in various petroleum software. His comprehensive academic and research background, along with his passion for innovation and development in petroleum engineering, make him a promising and valuable professional in the petroleum industry.
Employment
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Parul University Assistant Professor2025 - Present
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Pandit Deendayal Petroleum University research associate.2023 - 2023
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Pandit Deendayal Petroleum University teaching assistant2019 - 2023
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Pandit Deendayal Petroleum University teaching assistant2017 - 2019
Education
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Pandit Deendayal Petroleum University M.TECH.2017 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- Enhancing wellbore stability through machine learning for sustainable hydrocarbon exploitation Save
- Prediction of Minimum Mud Weight for Prevention of Breakout Using New 3D Failure Criterion to Maintain Wellbore Stability Save
- A critical review of rock failure Criteria: A scope of Machine learning approach Save
- Break-Out Prediction as a Chip Cutting by Milling Machine for Wellbore Stability in Geomechanics Save
- Real-Time Optimum Drilling Mud Weight Prediction by New 3D Criterion to Manage Wellbore Stability in Challenging Environments Save
- A new extended Mohr-Coulomb criterion in the space of three-dimensional stresses on the in-situ rock Save
- Multivariable Regression 3D Failure Criteria for In-Situ Rock Save
- Pore Pressure Prediction and Well Design on The Tulamura Anticline, Tripura, India: An Integrated Approached Save
- A New Extended Mohr-Coulomb Criterion in the Space of Three-Dimensional Stresses on the In-situ Rock Save
- A Non-Linear 3D Failure Criteria for In-Situ Rock: Multivariable Regression Approach Save