Nikhil Sunil Patil

Innovative Process Design Engineer transitioning into Solution Consulting, bridging the gap between chemical system design and Predictive Analytics. Expert in utilizing PRiSM, Aspen Plus, and Python to optimize critical rotating assets and static equipment (turbines, centrifuges, FFE/WFE) across the O&G and manufacturing sectors. Proven track record in predictive maintenance, APC, and OTS, blending deep domain knowledge with data-driven problem solving. Adept at translating complex engineering parameters into actionable digital strategies to drive operational reliability and client success.

• QCAD Training, IIT, Bombay
• Linux Training, IIT, Bombay
• Workshop on piping engineering, Asian Academy of Professional Training India Pvt. Ltd

• Heating value reduction of LNG by removing heavy hydrocarbons and technoeconomic analyses using simulation-based optimization, chemical process optimization, process simulation, ML algorithm-based optimization - Developed a superstructure for the process of heavy hydrocarbon removal from LNG using ASPEN HYSIS, developed a simulation-based optimization strategy using the process simulator of ASPEN HYSIS to perform seamless thermodynamic calculations, and connected the process simulator to the MATLAB optimizer using the Component Object Model Used PSO ML algorithm for hyperparameter tuning and finding the best possible solution with data-driven insights Deployed the model to support analysis led design for value pack introduction, Preceding technology and engineering standard work.
• Multiphase Kinetic modelling depending on heating and using model-based experimental analysis of kinetic phenomena, Chemical reaction engineering and mathematical modelling- The project included the study of multiphase kinetic modelling through accessing different parameters like microwave heating on reaction kinetics. The kinetic phenomenon was studied taking into consideration the gas/liquid-solid reactions (redox reactions), effect of reactor diameter/sample amount and microwave radiation effect (heating approach). The model based experimental analysis included simultaneous and incremental model identification and development also the refinement of mod. After the study included kinetic model selection and application in reaction kinetics identification.
• Study of transport model in Chemical Vapor Deposition, Advance Transport Phenomenon- The project encompassed an in-depth study of transport processes in chemical vapor deposition (CVD), covering fundamental concepts, boundary layer model was developed, analyzing thickness, gas flow, and diffusion related to mass transport, additionally the equations representing transport process were also created.Product functional modeling was tested with DFT simulations and analysis. Transport equations were also obtained for limiting processes, specifically transport-limiting and reaction-limiting processes. Electrochemical performance testing to design test for measuring chemical transformation of species, Chemical engineering, Selectivity, yield, response to different chemical and physical environments to test the performance and durability of manufactured Chip, State of health, EC active components to examine and interpret the data was done.
• Process simulation of multicomponent distillation column and optimization with sensitivity analysis, chemical engineering-The project focused on developing a simulation environment for multicomponent distillation (MCD) to address specific problem statements and evaluate key parameters, including the minimum reflux ratio, minimum number of stages, actual number of stages, and optimal feed stage location Also done 1-D Simulation modelling for flash design. Additionally, the project aimed to optimize operational parameters such as condenser duty, reboiler duty, and the optimal feed stage using DWSIM software and Chemsep
• . Simulation of the production of ethyl chloride from ethylene using Aspen Plus- Developed a simulation for the production of ethyl chloride from ethylene in Aspen Plus simulation software, and learned all thermodynamic aspects involved in each process equipment in the simulation, optimized the condenser and reboiler duty to decrease the power output almost by 6% by utilizing the heat output from the condenser to the reboiler's heat exchanger and flash drums, accelerated aging test and analysis of chemical system design with the construction of lab-scale equipment to simulate aging exposure of practical applications of active chemical components with thermal cycling for TEA was also done with the help of Python

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• Hindi
• English

• Student-Faculty Committee member, BITS Pilani, Hyderabad campus, 08/2023 - 08/25, Acted as the liaison for postgraduate students, effectively communicating academic concerns to the Student Faculty Committee (SFC) chaired by the Head of Department. Engaged directly with the institution's director to address student needs and enhance academic programs. This contributed to improving the student learning experience by providing insights into enhancing practical and theoretical learning methodologies.