Course Introduction
Turn Raw Subsurface Signals into Actionable Geoscience
Insights with Python This 3-day hands-on course is designed for geophysicists,
researchers, and earth scientists eager to apply Python programming in the real
world of gravity and seismic data analysis. The curriculum blends core
programming principles with advanced geophysical applications such as FFT, SVD,
seismic wavelet analysis, inversion modeling, and more.
Whether you're interpreting Bouguer anomalies or visualizing
seismic traces, this training will walk you through each step using actual
datasets and proven Python libraries.
Course Outline:
Introduction to Geophysical Data Processing
· Basic concepts in programming:
arrays, matrices, and data frame
· Data visualization: Scientific
plotting with Matplotlib & Mapping gravity data
· Statistical analysis with Pandas and
Seaborn using geophysical dataset
· Numerical analysis: linear and
polynomial regression, interpolation and extrapolation
Gravity
and seismic data analysis
· Making sense of gravity data:
Processing and analysis of Bouguer gravity anomaly data
· Regional and residual anomaly
separation from Complete Bouguer Anomaly (CBA) using ID Fast Fourier Transform
(FFT) and 2D Second Vertical Derivative (SVD)
· Making sense of seismic data: seismic
data visualization with segyio, trace header analysis, mapping seismic surveys
· Seismic frequency wavelet and
deconvolution
Seismic
data interpretation and inverse modelling
· Basics of inverse modelling in Python
· Seismic multi attribute extraction
and analysis
· Seismic post-stack inversion and
fluid factor analysis
· Basic AVO modelling
Learning
Objectives - Career Impact
Become
Geoscience-Ready for the Digital Era
Master
Python programming tailored for real-world geophysical workflows a must-have
skill in modern energy, oil & gas, and environmental sectors.
Unlock
High-Demand Roles in Data-Driven Exploration
Equip
yourself for emerging roles such as Geo-data Analyst, Exploration Data
Scientist, and Seismic Workflow Automation Specialist.
Bridge
the Gap Between Interpretation and Intelligence
Transform
from traditional interpretation methods to code-based, automated analysis -
giving you a competitive edge in any subsurface team.
Build
a Portfolio with Real Gravity & Seismic Projects
Showcase
hands-on experience with Bouguer anomaly processing, SEG-Y visualization, and
inversion workflows in Python - attractive to recruiters and research
institutions.
Future-Proof
Your Career in Energy Tech
Whether you
aim for R&D, digital oilfield, or consultancy, this course gives you the
coding confidence and scientific edge to thrive in a fast-evolving geoscience
landscape.
Is
This Course Right for You?
This course
is designed for geoscience professionals and aspiring analysts who want to
modernize their workflow and get hands-on with Python-based geophysical
processing.
Ideal for:
· Geophysicists, geologists, and
exploration engineers
· Research scholars and M.Sc./PhD
students in earth sciences
· Professionals working in oil &
gas, mining, geotech, or CCS projects
· Data scientists entering energy or
geoscience sectors
· Anyone seeking to bridge coding with
real geophysical applications
Frequently
Asked Questions (FAQs):
1. Is
this course beginner-friendly?
Yes! No
prior Python experience is required. We start from the basics.
2. Do I
need to install any software?
Just Python
and Jupyter (Anaconda is preferred). A step-by-step setup guide will be shared.
3. Are
sessions recorded?
Yes, all
live sessions will be recorded and provided for lifetime access.
4. Will
real datasets be used?
Absolutely.
You'll work with Bouguer gravity anomalies and SEG-Y seismic files.
5. Can I
reuse the material in my job or thesis?
Yes. All
code notebooks, datasets, and workflows are yours to reuse.
6. Is a
certificate provided?
Yes, you'll
receive a verifiable Certificate of Completion after Day 3.
7. What
industries is this relevant to?
Oil &
gas, mineral exploration, environmental geophysics, and energy research.
