Computer program is the backbone of modern and sophisticated software that we use in the oil and gas industry. Learning how to program with Python will provide professionals with a “Swiss Army knife” of approaching any complicated problem and solve it. If you want to have this skill, this course is perfect for you.
| Code | Date | Location | price (€)* |
|---|---|---|---|
| DAT 608 | 7 - 11 Dec 2025 | Online | 1990 |
| DAT 608 | 10 - 14 Aug 2025 | Online | 1990 |
* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!
Computer program is the backbone of modern and sophisticated software that we use in the oil and gas industry. Learning how to program with Python will provide professionals with a “Swiss Army knife” of approaching any complicated problem and solve it. If you want to have this skill, this course is perfect for you.
This course has a bootcamp system, means you will learn to write efficient programs with Python language and practice the skills to work on some real field datasets and use-cases. Variety of topics will be introduced; From wrangling oil and gas data, techniques of data analysis, data visualization, numerical methods, well-log analysis, reservoir engineering analysis, to production forecasting. This course will be different from regular programming courses taught in universities; it teaches more about applications rather than concepts.
o Using NumPy for numerical operation
o Speeding up for-loop with list comprehension
o Making scientific plots with Matplotlib
o Data input and output with NumPy and Pandas
o Interpolation with SciPy
o Loading spreadsheets and data cleansing
o Techniques of data analytics with Pandas
o Making bar graph, pie chart, box plot, and KDE plot
o Interactive plotting with Plotly
o Missing data issues and how to handle
o Loading well-log data in LAS format
o Visualization of well log data
o Multivariate analysis with Seaborn
o Histogram and scatter plots
o Petrophysical calculation
o Regression with SciPy
o Reservoir mapping with Matplotlib
o Volumetric analysis
o PVT correlation to generate reservoir fluid properties
o Well-test simulation
o Time-series analysis of production data
o Visualization of production data
o Removing outliers of production data
o Decline curve analysis step-by-step
o Uncertainty analysis in decline curve analysis
l background on carbon capture, utilization, and storage.
Yohanes Nuwara currently leads Sustainability Digital Solutions at Asia Pulp and Paper (APP). He is also an Expert Data Scientist at the same company where he is currently working on computer vision and predictive analytics for natural resources. Prior to his current position, he has had 2 years of experience in the oil and gas industry. He has been giving consulting and teaching sessions on programming at SPE and universities across the world, for example at Marietta College in Ohio, USA. His clients were professionals from PTTEP, Shell, Chevron, and many more. In 2020, he was a DAS fiber-optic technical expert at OYO Corporation and RITE research institute, Japan, and he was part of the Gundih CCS Pilot Project project in 2019 where he contributed to geophysical modelling of CO2 storage in gas fields. He also has developed many open-source softwares for geoscience, reservoir engineering, and petrophysics. He is still actively researching machine learning for the industry, exploring digital use-cases for energy transition and sustainable companies.
The course is designed for geologists, petroleum engineers, geologists, petrophysicists, geo-modelers, and man
o Professionals or consultants working in the geology and geophysics, reservoir engineering and production domain.
o Exceptional students or fresh graduates in geosciences and petroleum majors who are seeking to gain new skill in programming.
o No prior knowledge is required. However, participants who has domain knowledge is a plus.
agers who want to have a deeper technical background on unconventional resources.
Intermediate
You will gain new knowledge and experience in these things:
o Writing effective programs with python language
o Learning the basics and some advanced techniques of data analysis and visualizations
o Well-log data visualization and petrophysical analysis
o Numerical methods for reservoir engineering
o Production data analysis and forecasting
Registration is now OPEN!
* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!
For more details and registration please send email to: register@petro-teach.com
Would you like a PetroTeach training course delivered at a time or location to suit you?
click for request in house
