EBC For Training & Development

Oil and Gas Sciences

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Code

Available Dates

Places & Fees

Registeration



Istanbul .. Cairo .. Tunis .. Muscat

3250 €

Dubai .. Kuala Lumpur .. London

3850 €

Paris .. Singapore .. Barcelona

Register


Istanbul .. Cairo .. Tunis .. Muscat

3250 €

Dubai .. Kuala Lumpur .. London

3850 €

Paris .. Singapore .. Barcelona

Register


Istanbul .. Cairo .. Tunis .. Muscat

3250 €

Dubai .. Kuala Lumpur .. London

3850 €

Paris .. Singapore .. Barcelona

Register

Istanbul .. Cairo .. Tunis .. Muscat

3250 €

Dubai .. Kuala Lumpur .. London

3850 €

Paris .. Singapore .. Barcelona

Register


Istanbul .. Cairo .. Tunis .. Muscat

3250 €

Dubai .. Kuala Lumpur .. London

3850 €

Paris .. Singapore .. Barcelona

Register


Istanbul .. Cairo .. Tunis .. Muscat

3250 €

Dubai .. Kuala Lumpur .. London

3850 €

Paris .. Singapore .. Barcelona

Register

1- Online Training...with international accreditation. The value of participation per person is €1,450

2-Requirement : specifying the course, number of participants
implementation date, and joint coordination.

Group contracting ... 20% Discount For Each Participant In Any Group Of Five Person Or More

Other Places To Hold The Course :

KualaLumpur.. Istanbul.. Dubai.. Cairo.. Riyadh.. Jeddah.. Abu Dhabi.. Doha.. Muscat.. Sharm El Sheikh.. Kuwait.. Tripoli.. Amman.. Beirut.. Damascus.. Tunisia.. Casablanca.. London.. Paris.. Barcelona.. Amsterdam.. Brussels

Essential Data Science for Petroleum Geoscientists and Engineers

Introduction :

Interest in data science and machine learning is rapidly expanding, offering the promise of increased efficiency in E&P, and holding the potential to analyze and extract value from vast amounts of under-utilized legacy data. Combined with petroleum geoscience and engineering domain knowledge, the key elements underlying the successful application of the technology are: data, code, and algorithms. This course builds on public datasets, code examples written in Python, statistical graphics, and algorithms from popular data science packages to provide a practical introduction to the subject and its application in the E&P domain.

Course Objectives :

At the end of this course, the participants will be able to :

You’ll gain a working knowledge of coding in Python.
You’ll learn the tradecraft of data import and manipulation, data visualization, exploratory data analysis, and building predictive models from data.

Targeted Audience :

This is an introductory course for reservoir geologists, reservoir geophysicists, reservoir engineers, data management, and technical staff who want to learn the key concepts of data science. By developing your data science skills you’ll be better equipped to analyze your project data, build predictive models, and apply them in your workflows. You’ll also be in a better position to evaluate and ask the right questions about the work of others, be they in-house data science specialists or external partners.

Course Outlines :

Module 1 – Overview

What is Data Science – Overview of the course, and an outline of the scope of data science.
Data Science for E&P – Addressing the role of data science in E&P and an example application to log data quality control and reconstruction using machine learning.
Module 2 – Data Science Toolkit – Notebooks, Visualization, and Communication

Overview of the data science toolkit.
Hands-on workshop introducing the toolkit and getting started with Python scripts and notebooks.
Overview of how to manage and use Python packages.
Hands-on workshop on Python packages covering how to install and manage packages, and how to use packages from your Python notebooks
Overview of data visualization with SandDance.
Hands-on workshop introducing SandDance for interactive data visualization using a dataset of offshore wells from the UK Continental Shelf.
Overview of Markdown – a lightweight markup language for adding simple formatting to plain text documents, and documenting Python notebooks.
Hands-on workshop on Markdown for formatting text documents and annotating Python notebooks.
Module 3 – Python Fundamentals

Python 101 – Introduction to Python fundamentals including variables, types, statements, expressions, control flow, and functions.
Hands-on workshop on Python 101.
Python 102 – More Python fundamentals including data structures, modules, files and folders, JavaScript Object Notation (JSON), serialization.
Hands-on workshop on Python 102.
Module 4 – Computational Thinking

Introduction to Computational Thinking – the analytical and logical processes of decomposing a complex task and expressing it in a form that can be performed by a computer.
Hands-on workshop on Computational Thinking applied to the design and implementation an interactive base map for UK E&P data.
Module 5 – Exploratory Data Analysis

Exploratory Data Analysis – Introduction to the Exploratory Data Analysis process and key Python packages: pandas for data analysis and plotly for statistical graphics.
Hands-on workshop on exploratory data analysis – reading data into pandas data frames, handling dates, merging datasets, creating statistical graphics figures with plotly, exporting figures.
Statistical Graphics – Demonstration of a gallery of statistical graphics samples
Descriptive Statistics – Introduction to univariate and multivariate statistics.
Module 6 – Exploring E&P Data

Well header data – Introduction to handling well header data (surface location and attributes) using the pandas and plotly packages.
Hands-on workshop on well header data – including import, data cleaning, date handling, posting well data on cultural/satellite base map and visualizing historical trends.
Production data – Introduction to handling field production data using the pandas and plotly packages.
Hands-on workshop on field production data – including import, data cleaning, date handling, queries, visualizing hierarchical and time series data.
Well log data – Introduction to handling wireline logs from LAS files using the lasio, pandas, and plotly packages.
Hands-on workshop on well log and tops data – including LAS (.las) file import, merging tops, and data visualization.
Seismic data – Introduction to handling seismic SEG-Y data using the segyio, and plotly packages.
Hands-on workshop on seismic data – including SEG-Y (.segy) file import, extracting binary and trace headers, visualizing seismic trace data, and calculating seismic attributes
Module 7 – Geospatial Data

Coordinate reference systems – Introduction to the geographic and projected coordinate systems, defining a coordinate reference system from EPSG codes, offsets between coordinate reference systems, and transforming positions between reference systems.
Hands-on workshop on coordinate reference systems.
Module 8 – Machine Learning Fundamentals

Machine Learning – introduction to the fundamentals of machine learning including background concepts from probability theory, the different types of machine learning, and the basic workflow to build and evaluate models from data.
Python scikit-learn – introduction to the Python scikit-learn package for machine learning, including a demonstration of typical pipelines and workflows.
Supervised learning with regression – introduction to regression including traditional linear regression, random forest regression, hyperparameter optimization, and performance evaluation.
Hands-on workshop on regression for reconstructing wireline logs using random forests.
Unsupervised Learning – introduction to unsupervised learning for dimensionality reduction, clustering and outlier detection.
Hands-on workshop on unsupervised learning for outlier detection and clustering of wireline logs.
Explainable Machine Learning – introduction to explainable machine learning: techniques for looking inside the so-called black box models of machine learning to understand why particular predictions are made and which variables are important.

European Business Center Training Methodology :

Our training work is presented in a professional and attractive manner.. Interspersed with interceptive information to renew attention throughout the training period… We aim with this method to train the listener and interact… In addition to practical applications that target the direct skills and knowledge required to be achieved.. It is presented to the trainees in more than one way.. Practical exercises and applications.. Surveys and questions.. A training strategy has been adopted based on pairing between the theoretical and the professional and between the local and the global.

What Does The Participant Get From The Course?

Each participant obtains an internationally accredited training certificate from the European Business Center for Training and Development … which has the ISO certificate in quality No. 9001/2015 from the English international company UKAS .. and receives a training bag containing the scientific material via an electronic flash … in addition to an enjoyable and useful training that is reflected Positive and developmental for individuals and the institution

Note :

We can implement the training course in any of the cities referred to in this course..at the appropriate and required time for the trainees..through joint coordination with the training department at the center..the training is implemented in a distinctive manner according to the best quality standards so that we meet all training requirements and needs.

International Accreditations

European Business Center for Training and Development has obtained international and official accreditations with the highest and best international levels scientifically and technically, which reflect the level of outstanding performance in our training work.. so that it achieves what each participant aspires to by obtaining the best certificates with officially approved scientific and technical standards.