An Interactive 5-Day Training Course
Python for Drilling Engineering
Coding for Drilling Workflows
Secure your spot now!
Duration
5 Days
Price
$ 2,000
Starting From
17 Jan 2027
Python for Drilling Engineering
Have Questions ?
Python for Drilling Engineering - DC-PYD-PEA27
| Code | Date | Time | Duration | Location | Currency | Early Bird Fee Per Person |
|---|---|---|---|---|---|---|
| DC-PYD-PEA27 | 17 - 21 Jan 2027 | 10 AM CST | 4 Hours / Day |
Online |
USD |
2000 |
Need this for a group? We deliver the same course in-house — face-to-face at your location or online — tailored to your assets and team level. Contact info@peassociations.com
Boost your team's skills and your budget! Enjoy group discounts for collaborative learning. Send an inquiry to info@peassociations.com.
Python for Drilling Engineering
This course teaches Python for drilling engineering work. Participants learn Python basics, data handling with pandas, drilling data cleaning and validation, plotting and reporting, trajectory and survey calculations, hydraulics and torque and drag in code, drilling performance analysis, automation of routine tasks and good practice for sharing code.
Description
Drilling engineers spend a large share of their time assembling data, repeating calculations and producing the same reports. Python removes most of that repetition. It reads daily reports, real-time data and service company files, cleans and validates them, performs the standard drilling calculations, produces plots and reports, and repeats the whole workflow on the next well without further effort.
This course teaches Python through drilling work. It starts with Python fundamentals and the scientific libraries, then covers reading and handling drilling data with pandas, data cleaning and validation, and plotting. It then builds drilling engineering calculations in code: survey and trajectory calculations, anti-collision checks, hydraulics, torque and drag, and casing design checks. It covers drilling performance analysis across wells, including time breakdown, benchmarking and non-productive time analysis, and closes with automating routine reporting, structuring reusable code, version control and sharing work with colleagues.
Survey and trajectory calculations are the natural starting point. They are well defined, repeated constantly and tedious by hand, and once written they run on any well. From there the same approach extends to hydraulics, torque and drag and casing checks, each of which becomes a function that can be applied across a campaign rather than a spreadsheet for one well.
Performance analysis is where the biggest gain usually sits. Comparing time breakdowns across thirty wells, finding where flat time is lost and benchmarking crews or rigs is impractical by hand and straightforward in code. Most drilling organisations have the data and never analyse it at that scale.
No prior programming experience is assumed. The aim is engineers who can write, read and modify practical scripts, automate their own routine work and understand code written by others, not software developers. Everything is built around drilling tasks participants already do.
By the end of this training, participants will be able to:
- Write Python programs using core language features and standard libraries.
- Read, combine and handle drilling data using pandas.
- Clean, validate and flag errors in drilling data sets.
- Produce plots and automated reports from drilling data.
- Implement survey and trajectory calculations in code.
- Implement anti-collision separation calculations.
- Build hydraulics and torque and drag calculations.
- Implement casing design checks and load case calculations.
- Analyse drilling performance and non-productive time across wells.
- Automate routine tasks and structure, document and share reusable code.
The course is instructor-led and hands-on. Participants write code throughout, working on drilling engineering tasks with real data, building from short scripts to a complete performance analysis and reporting workflow. No prior programming experience is assumed. All code written during the course is retained by participants.
Organisations sending participants to this training will:
- Automate repetitive drilling engineering and reporting work.
- Analyse performance across wells and campaigns at scale.
- Improve consistency and auditability of routine calculations.
- Improve data validation and error detection.
- Build internal capability that reduces dependence on external tools.
Participants will:
- Be able to write and modify practical Python scripts.
- Be able to handle and clean drilling data efficiently.
- Be able to implement drilling calculations in code.
- Be able to analyse performance across many wells.
- Be prepared for machine learning and analytics work.
- Drilling engineers
- Drilling performance engineers
- Well planners and directional staff
- Drilling data and reporting personnel
- Service company technical staff
- Graduate engineers in drilling roles
Module 1: Python Fundamentals
- Environment setup and notebooks
- Variables, types and operators
- Control flow and loops
- Functions and modules
- Errors and debugging
Module 2: Scientific Python
- NumPy arrays and vectorised calculation
- Units and conversions
- Numerical methods and root finding
- Working with dates and time series
Module 3: Drilling Data Handling
- Reading daily reports, CSV files and databases
- DataFrames and indexing with pandas
- Merging and reshaping data
- Time and depth indexed data
- Handling missing data
Module 4: Data Cleaning and Validation
- Detecting outliers and impossible values
- Validation rules for drilling data
- Operation code checking
- Reconciling data from multiple sources
- Building a reusable cleaning pipeline
Module 5: Plotting and Reporting
- Time and depth plots
- Multi-well comparison plots
- Specialised drilling plots
- Automated report generation
- Exporting results
Module 6: Survey and Trajectory Calculations
- Minimum curvature implementation
- Trajectory generation and planning
- Dogleg severity calculation
- Coordinate conversion
- Anti-collision separation factors
Module 7: Hydraulics and Mechanics
- Pressure loss calculations
- Equivalent circulating density
- Hole cleaning calculations
- Torque and drag modelling
- Buckling checks
Module 8: Casing and Performance Analysis
- Casing design load case calculations
- Design factor checks across strings
- Time breakdown and flat time analysis
- Benchmarking across wells
- Non-productive time analysis
Module 9: Automation and Good Practice
- Structuring scripts and reusable functions
- Scheduling and automated runs
- Version control basics
- Documentation and code review
- Sharing tools with colleagues
Upon successful completion of this training course, delegates will be awarded an official Certificate of Completion issued by the Petroleum Engineers Association (PEA), an ISO 9001:2015 certified training organization. The certificate carries 10 Credits and formally records the total learning hours completed.
Each certificate is signed by the Course Facilitator and the CEO of the Petroleum Engineers Association, and serves as verifiable proof of professional training that delegates can present to employers and professional bodies worldwide.
Frequently Asked Questions
All course bookings made through PEA are strictly non-refundable. By registering for a course, you acknowledge and accept that all fees are payable in full and are not subject to refund under any circumstances, including changes in personal or professional commitments or partial attendance.
PEA reserves the right to make reasonable adjustments to course content, trainers, or schedules where necessary, without entitling delegates to a refund. Comprehensive details of each course — including objectives, target audience, and content — are clearly outlined before enrolment, and it is the responsibility of the delegate to ensure the course's suitability prior to booking.
For any inquiries related to cancellations or bookings, please contact our support team, who will be happy to assist you.
