Manav is a Petroleum Engineering graduate student at the University of Texas at Austin. He worked as a Subsea Panel Production Engineer at one of Asia's deepest offshore gas and condensate fields (R Cluster, Sat-O-Sat, MJ) at Reliance E&P possessing a solid academic background. He had a profound interest in reservoir and production engineering and its applications.

Recognized for his accomplishments and dedication, he was selected as a Delegate among the top 50 students worldwide for the IPTC 2023, providing him a platform to collaborate and exchange ideas with industry leaders. As the Membership Chairperson for the SPE PDEU Student Chapter, he demonstrated exceptional leadership and organizational skills, fostering a dynamic and inclusive learning environment for fellow students.

His professional experience as a Reservoir Intern at the IRS, ONGC further honed his technical proficiency in reservoir engineering. During his research internship at UTP Malaysia, he focused on CCS optimization, gaining valuable insights into advanced techniques for maximizing reservoir performance while reducing carbon emissions. His undergraduate thesis on Brownfield Management, utilizing tNavigator software, showcased his ability to apply reservoir engineering principles to real-world scenarios. Working on various projects, he contributed to reservoir characterization, simulation, and production optimization activities.

Moreover, as a Semester Exchange Student at the University of Oklahoma, he expanded his knowledge through coursework and engagement with industry professionals.

Project Name: “Improvements of a Hydraulic Fracturing Workflow: Static Model Upscaling, ISIP's and DFITs Analysis.”

Conducted in-depth analysis of well logs and scratch test data to correlate core and wireline logs using Techlog, and utilized cross-correlation methods to achieve accurate depth shifts. Integrated scratch test results to determine stress regimes and fracture orientations in a highly heterogeneous shale reservoir in Argentina, optimizing understanding of subsurface conditions and contributing to more precise fracture modeling in ResFrac.