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Project Intern

Sep 2016 - Sep 2016 (1 month)

Desired Objectives: To optimize the Drilling & Drill Bit selection in MOL Pak. To improve Drilling Efficiency To improve the Bit performance w.r.t Drilling Lithology Methodology: Apply Artificial Neural Network (ANN) for Drilling Optimization. Use a new system of Artificial Neural Network (ANN) for the selection of drill bits and drilling parameters rather than conventional way of drill bit & parameters selection. Reduced the total bit consumption in Makori field. Reduced overall drilling cost.


May 2014 - Jul 2014 (2 months)

 Study of Boiler Turbine & 8 MW Coal Power Plant.  Detailed study of Waste Heat Recovery Power Plant (WHRPP)  Observed the operations in Central Control Room (CCR)  Studied & Monitored the Quality Control procedure of cement.  Studied Process, Maintenance & Operations of, • Crusher Area • Cement Mill Area • Raw Mill Area • Kiln Area


Industrial Engineering

2012 - 2016 (4 years)


Pakistan Engineering Council Certified Engineer (2016)

Pakistan Engineering Council (PEC)

Pakistan Engineering Council (PEC) is the governing body of engineering discipline in Pakistan. i am PEC certified Engineer.



Optimization of Drilling Parameters & Drill Bit Selection in Highly Interbedded Rocks In MOL Pak. To develop a Software which can predict drilling parameters & may help to select the best Bit for optimal Performance.


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