Summary of Skills Learned:

- SCAL Data Processing: Performed analysis of SCAL data to develop normalized relative permeability curves, fitted Corey correlations to the normalized data, generated end-point scaling & J-functions for input to a fractured basement simulation model.

- Field Development Plans: Performed Decline Curve Analysis as well as Material Balance Modelling in an FDP of Yemen. Furthermore, made smart VBA-based automated well development sheet (via OpenServer) to generate more than 80 wells in MBAL model; resultantly, enhanced the scalability & performance of the process by 50%.

- Reservoir Simulation: Developed multiple Dynamic Reservoir Simulation models starting from initialization to history matching & prediction as part of field development plans. Moreover, performed waterflood optimization in a brownfield.

- Hydraulic Frac Forecasting: Evaluated hydraulic fractured wells’ forecasted production profiles.

- Reserves Evaluation Automation: Developed a VBA based automated DCA workflow that allowed field management capabilities with DCA & simultaneously generating reserves classification according to PRMS guidelines. This automation boosted the efficiency of the process by 57% & enhanced reproducibility.

- Automated Wellbore Modelling: Developed a PIPESIM Python Toolkit based automated well model update workflow for clients that connected with their daily production data & updated wellbore models with latest observed production data.

- PVT: Performed basic PVT modelling in Fluid Modeler for a client to be used in compositional simulation.

- Training:  Completed Reservoir Engineering training from Middle East Asia Learning center based in Abu Dhabi. The training encompassed topics including Delfi Cloud Petrotechnical Suite, PVT Modelling, SCAL Processing, Wellbore Modelling, Reservoir Simulation, History Matching, Well Test Analysis.

Reservoir Engineer

Mari Petroleum Company Limited

Summary of Skills Learned:

- Business Plan: Developed the Long-Term Business Plan tool of MPCL and tasked with its maintenance and update on regular basis. Moreover, had also been designated as the dedicated resource for Business Plan generation & reporting.

- Data Management: Analyzed the central data management structure and proposed improvement opportunities for efficient management of data streams in OFM database. Furthermore, tasked with the execution of the proposed data management structure.

- Reservoir Surveillance: Proposed Pressure Transient Testing of wells & performed Well test Interpretations of gas-wells for surveillance program.

- Material Balance: Developed material balance models of assigned fields as well as made automated Excel sheets to run and get results of MBAL simulations via OpenServer.

- Wellbore Modelling: Developed & updated wellbore models in concurrence with Well Testing activities.

Trainee Reservoir Engineer

National University of Medical Sciences | NUMS Official

Assistant Manager (Procurement)

Society of Petroleum Engineers, UET Lahore

Summary of Skills Learned:

- Leadership: Coordinated and managed technical & non-technical events with an audience of more
than 60 and achieved recognition among other chapters.

- Teamwork: Collaborated with a team of 30 on various events and improved the quality of events.

- Adaptability: Achieved the targeted quality of events and operations by working with different
people with diverse backgrounds and level of technical know-how.

President

Observations: 

- Dehydration Plant
- SCADA System
- BHP Survey Tool running
- Corrosion inhibition and monitoring system
- flow metering and calibration

Summary of Skills Learned:

- Adaptability: Worked under various departments including those other than Petroleum Engineering
section

- Teamwork: Collaborated with a team of 30 interns and learned various industry practices

- Self-motivation: Learnt and worked effectively in the corporate sector environment

Engineer Intern

Amal Academy

Competed among 1400+ candidates for the fellowship in interview process to have a chance to improve myself. Here I tried to polish and build new skills. Managed and completed weekly project works expending 2-3 hours daily. Invested 150 hours in order to develop business skills (e.g., communication, leadership, problem solving, teamwork, etc.) that will help me make a deeper impact on the job.

Summary of Skills Learned:

- Management: Managed and completed weekly project works expending 2-3 hours daily

- Communication: Achieved admission by competing among 600 applicants in competitive written
application and interview process for intensive 3-month Fellowship funded by Stanford University

- Skills development: Invested 150 hours in order to develop business skills (e.g., communication,
leadership, problem solving, teamwork, etc.) that will help me make a deeper impact on the job

Fellow

UET Tribune

Summary of Skills Learned:

- Communication: Worked with a team of 90+ members with diverse backgrounds and managed communication & coordination among whole body.

Head Communications 

As a Reservoir Engineer at SLB, I apply my digital and integration skills to solve complex problems and deliver smart solutions in the E&P industry. I have experience in various core technical and business aspects, such as reservoir simulation, field development plans, reservoir surveillance, business plan reporting, and reserves booking. I have also performed analysis and automation tasks using R, VBA, and OpenServer, enhancing the scalability and performance of the processes by up to 50%.

I graduated from UET Lahore with a Bachelor's Degree in Petroleum and Gas Engineering in 2019, where I developed my passion for technology and engineering. I have also obtained multiple certifications, such as NEBOSH IGC, IWCF Level-1, and R Data Structures, to expand my knowledge and competencies. I am always eager to learn and grow, and I seek opportunities to collaborate with talented and skillful peers. My goal is to leverage my digital and integration expertise to create value and impact in the E&P industry.

Taplio

Mohammad Sohaib Naim Nizami's Linkedin Analytics

Mohammad Sohaib Naim Nizami

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