Petroleum Engineer Resume

SUMMARY

5 years of experience in an Confidential company
Experienced in Python, MATLAB, C/C++, and VBA
Experienced in application of neural network and fuzzy logic in petroleum engineering
Knowledgeable about Data Science and Machine Learning (using Python)
Expert in applying different python libraries (NumPy, Pandas, Scikit - learn, Matplotlib, Seaborn) and ML
Knowledgeable about applying Tensorflow library for Deep Learning
Experience in using Jupyter notebook
Experienced in reservoir simulation, basic reservoir engineering, MDP preparation, reserve estimation
Field experience in drilling and completion
Excellent in problem solving, troubleshooting, presentation, communication and time management

TECHNICAL SKILLS

Programming: Python, C\C++, HTML, VBA and MATLAB, SQL, Pascal

General: Microsoft Office (Word, Excel, Access, Power Point), Windows Operating System, AutoCAD, Photoshop Petroleum Engineering Software

Expert in: Eclipse (E100, E300), CMG, Petrel RE/ Petrel, PVTi, Propser, VFPi, Pan-System, Saphir, Landmark, OFM

Familiar with: tNavigator, Geolog, Crystal Ball, MBAL, Power BI, Drilling Office

PROFESSIONAL EXPERIENCE

Confidential

Petroleum Engineer

Responsibilities:

Prepared drilling program for Dehluran-33 gas well consisting of well trajectory plan, time break-down, casing design calculation, and bit selection
Engineering support and monitoring the drilling operations on rigs Dehluran-33, Paydar-10 &11
Reducing NPT by learning from optimization in drilling parameters of the nearby wells
Hydraulic calculation using Reed hycalog
Directional drilling using Landmark software

Confidential

Petroleum Engineer & Core Specialist

Responsibilities: