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Petroleum Data Analytics basics

Track :

Engineering

Lessons no : 20

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What will you learn in this course?

Master essential data analytics techniques for petroleum industry insights and decision-making using real-world datasets and tools
Apply statistical analysis and visualization methods to interpret petroleum exploration, production, and reservoir data effectively
Utilize data mining and machine learning algorithms to optimize drilling operations and enhance reservoir management
Develop predictive models to forecast oil and gas production trends and improve resource allocation

Implement data cleaning and preprocessing strategies specific to petroleum datasets for accurate analysis
Analyze seismic, well log, and production data to identify patterns and support strategic petroleum engineering decisions
Leverage industry-specific analytics software to streamline data workflows and improve operational efficiency
Communicate complex petroleum data insights clearly to stakeholders for informed decision-making

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Lessons | 20

Session 1 Python Crash Course | SPE UOB Algeria Chapter

Session 1 Python Crash Course | SPE UOB Algeria Chapter

Session 2 Data Analysis tools NumPy Pandas | SPE UOB Algeria Chapter

Session 2 Data Analysis tools NumPy Pandas | SPE UOB Algeria Chapter

Session 3 Data Visualisation using Matplotlib Seaborn Plotly | SPE UOB Algeria Chapter

Session 3 Data Visualisation using Matplotlib Seaborn Plotly | SPE UOB Algeria Chapter

Session 4 Petroleum Data Analysis Projects | SPE UOB Algeria Chapter

Session 4 Petroleum Data Analysis Projects | SPE UOB Algeria Chapter

All about Volve Field and Production Data | ML | Python

All about Volve Field and Production Data | ML | Python

Petroleum Data Analytics Project based Mini Course | IFP School France | python | oilandgas |

Petroleum Data Analytics Project based Mini Course | IFP School France | python | oilandgas |

Energy Data Science Journey

Energy Data Science Journey

Lecture 1 Introduction to Python with Simple Computations Operators | oilandgas | datascience

Lecture 1 Introduction to Python with Simple Computations Operators | oilandgas | datascience

Lecture 2 Variable Assignment in Python with Darcy s Law Example | oilandgas | datascience

Lecture 2 Variable Assignment in Python with Darcy s Law Example | oilandgas | datascience

Lecture 3 Input Statements f Strings in Python Darcy s Example | oilandgas | datascience

Lecture 3 Input Statements f Strings in Python Darcy s Example | oilandgas | datascience

Lecture 4 Data Structures Strings Index Slice Reverse with Python | oilandgas | datascience

Lecture 4 Data Structures Strings Index Slice Reverse with Python | oilandgas | datascience

Lecture 5 Lists Concept of Mutability with Python | oilandgas | datascience

Lecture 5 Lists Concept of Mutability with Python | oilandgas | datascience

Lecture 6 Tuples Immutable Objects in Python | oilandgas | datascience

Lecture 6 Tuples Immutable Objects in Python | oilandgas | datascience

Lecture 7 Dictionaries Sneak Peek into Pandas DataFrames Python | oilandgas | datascience

Lecture 7 Dictionaries Sneak Peek into Pandas DataFrames Python | oilandgas | datascience

Lecture 8 If Elif Else Code Blocks in Python | oilandgas | datascience

Lecture 8 If Elif Else Code Blocks in Python | oilandgas | datascience

Lecture 9 Functions Code Abstraction in Python | oilandgas | datascience

Lecture 9 Functions Code Abstraction in Python | oilandgas | datascience

Lecture 10 For Loops Iterative Computations in Python | oilandgas | datascience

Lecture 10 For Loops Iterative Computations in Python | oilandgas | datascience

Lecture 11 Project Reservoir Eng application of Newton Raphson s | datascience | python

Lecture 11 Project Reservoir Eng application of Newton Raphson s | datascience | python

Lecture 12 NumPy Pythons Speed GUNNN | datascience | python

Lecture 12 NumPy Pythons Speed GUNNN | datascience | python

Lecture 13 Pandas Pythons Excel | datascience | python | oilandgas analysis

Lecture 13 Pandas Pythons Excel | datascience | python | oilandgas analysis

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Walter Kielbus

average 2025-03-18

Luís Da Silva Gama De Água Rosada

First of all, I want to thank you for the opportunity to be part of your academy. Second, I want to thank the course teacher. I learned a lot. It was difficult to find a course like this, so I am happy to have completed the course completely. 2025-02-22

Ali Asadi

good 2025-02-02

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Petroleum Data Analytics course, In this course we will explore data analytics techniques tailored for the petroleum industry's data-driven decision-making.