Course Overview
This intensive training is designed for oil and gas professionals who want to adopt Python for solving domain-specific problems, building workflows, and creating digital applications. The course takes participants from foundational programming concepts to advanced applications such as reservoir mapping, KPI dashboarding, and operational analytics. By the end of the course, participants will be able to design, implement, and apply Python-driven solutions to real-world oil and gas scenarios.
Learning Outcomes
By the end of this course, participants will be able to:
Apply foundational to advanced Python skills in oil and gas applications
Handle, analyze, and visualize oilfield datasets effectively
Use regression, curve fitting, and statistical methods to solve domain-specific problems
Build dashboards, digital well logs, and operational monitoring tools
Perform forecasting, spatial analysis, and reservoir mapping
Develop end-to-end workflows and Python applications for decision-making
Modules
Module 0: Ground Zero
Aggregations and basic data types
Python ecosystem: development environments, standard libraries, 3rd-party packages
Module 1: Python Bootcamp
Containers: Lists, Tuples, Dictionaries
Continuous data handling
Basic plotting: XY plots, structured data, Excel integration
Module 2: Data Exploration and Analytics
Interactive charting
Handling missing data (data imputation)
Regression and curve fitting
Univariate analysis, including root mean square calculations
Module 3: Intermediate Statistical Methods
Statistics for petrotechnical applications: randomness, tabular statistics, Monte Carlo simulation
Geo-spatial distribution analysis
Running averages
Module 4: Advanced Data Handling
Dashboarding basics: KPI monitoring, interactive applications, graphical components, web and data apps
Module 5: Advanced Applications in Oil & Gas
Digital well logs: PVT, drilling parameter calculations
KPI analysis: time series, depth/length profiles, base maps, contour maps, reservoir mapping
Module 6: Full-Scale Applications and Workflows
Operational dashboards: management, decision-making, real-time collaboration, team surveillance, drilling report monitoring
Data applications and analytical calculations: user interface design, metrics, cards, KPIs
Special Topics
Oil and gas-specific analytics: waterflooding analysis, GOR/WOR analysis, forecasting, inflow performance, decline curve economics
Spatial data: Kriging, linear interpolation, random value generation
Entry Requirements
Knowledge of the oil and gas industry is required
Basic familiarity with engineering workflows is recommended but not mandatory
Assessment Methods
Practical exercises after each module
Group mini projects simulating real oil and gas workflows
Final project applying Python to a specific oil and gas dataset
Course Details
Duration: 5 Days
Time: 09:30 – 16:00
Location: Erbil, Iraq
Format: Classroom-based
Language: English or Arabic
Maximum Participants: 10
Refreshments: Included
Course Fee: $600
Who Should Attend
Petroleum engineers and geoscientists
Drilling and production engineers
Reservoir and operations engineers
Data analysts and technical professionals in oil and gas
Professionals seeking to integrate programming and analytics into operational workflows
Payment
Must be made 7 working days before the start of the course, once the course gets confirmed.
Methods: Payment can be made in cash, by bank transfer or through exchange offices.
How do I register?
You can register by emailing training@mselect.com with the following details:
Full Name:
Position:
Email Address:
Phone number:
Name of the course: