GeoPython Week 2021

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Automating Geoscience Processes using Python and Machine Learning

About this event

The growing popularity of python among other high-level object-oriented programming languages can be attributed to its wide application in scientific computing. Over the last few years, the energy sector has integrated python into its work processes. This implies that the application of python programming to solving geoscience and reservoir engineering problems is an invaluable skill required today.

The Geo-Python Week is a 5-day virtual course tailored towards Geoscientists that wants to learn the basic concepts of programming and scientific data analysis using the Python programming language in a format that is easy to learn and understand.

Each day of the event will address specific topic(s) where the aim is to gain skills and understanding on how to solve common data-related tasks using Python Libraries like Numpy, Scipy, Scikit Learn, Matplotlib etc.

After this course, participants would have gained adequate knowledge to get started with their journey in solving Geoscience problems more efficiently and in a reproducible manner using Python programming.

Course Outline

Day One – Introduction

Geo-exploration in transition – Values and Future

Introduction to Python, loops, Functions and Classes.

Day Two - Scientific Computing and Data Analysis in Python

Introduction to Numpy, Pandas & Matplotlib

Geospatial Analysis using geopandas and kepler.gl

Day Three - 3D Seismic Visualization Using PyVista

Working with Database(Sqlite)

Acoustic Seismic Wavefield and Shot Modeling

Day Four – ML techniques in Reservoir Characterization - Applications and Pitfalls

Petrophysical Analysis in Python

Day Five – Machine learning in Geosciences

Seismic Facies Prediction using Convolutional Neural Networks (CNN)

Key Note Speakers

Fatai Anifowose, PhD – Machine learning Modelling Research Scientist, Saudi Aramco.

Vita Kalashnikova – CEO, Pre Stack Solutions-Geo, Norway.

Facilitators

Destiny Otto – Python Developer/Technical lead, Techpet Global.

Elena Karaseva – Data Specialist, Imperial College Business School.

Olawale Ibrahim – Digital Solutions Engineer, Techpet Global.

Agus Abdullah, PhD - Head, Center for Geosciences, Artificial Intelligence and Advanced Computing, Universitas Pertamina.

Olakunle Obasoro - Data Scientist, Geo-Management Integrated Company (GMIC)

Course Prerequisite:

A basic knowledge of at least one of the underlisted is required for the course;

1. Seismic Interpretation

2. Well log interpretation

3. Basic Reservoir Engineering

4. Basic Petroleum Geology/Geophysics

Technical Requirements

• Modern Operating System:

• Windows 7 or 10

• Mac OS X 10.11 or higher, 64-bit

• Linux: RHEL 6/7, 64-bit (almost all libraries also work in Ubuntu)

• x86 64-bit CPU (Intel / AMD architecture)

• 4 GB RAM

• 5 GB free disk space

The following applications need to be installed

Python Interpreter

Download link – https://www.python.org/downloads

• Pycharm

Download link – https://www.jetbrains.com/pycharm/

• Anaconda Navigator (Jupyter Notebook)

Download link – https://www.anaconda.com/products/individual

N.B

1. Admission to this event is free.

2. Only 1000 tickets are available.

3. You can also support the event by using a donation ticket on checkout

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