Petroleum Data Analytics basics Course

20 Lessons
94 Students
Certificate of completion

Track:

Engineering

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

To Register in Course you have to watch at least 30 Second of any lesson

What You'll Learn

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

Course Content

20 Lessons • 10 h 48 m total

Session 1 Python Crash Course | SPE UOB Algeria Chapter

1:10:42

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

1:12:20

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

1:07:42

Session 4 Petroleum Data Analysis Projects | SPE UOB Algeria Chapter

51:33

All about Volve Field and Production Data | ML | Python

12:40

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

2:01:19

Energy Data Science Journey

31:24

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

10:12

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

9:15

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

9:42

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

7:26

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

9:49

Lecture 6 Tuples Immutable Objects in Python | oilandgas | datascience

1:35

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

17:27

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

26:00

Lecture 9 Functions Code Abstraction in Python | oilandgas | datascience

30:11

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

26:13

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

18:26

Lecture 12 NumPy Pythons Speed GUNNN | datascience | python

27:19

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

26:54

How to Get The Certificate

You must have an Account on the platform.
Complete all lessons.
Watch at least 50% of Lesson Duration.
Get your Certificate free 🎉 !

4.3 (4 reviews)

Overall rating

5.0 25%
4.0 75%
3.0 0%
2.0 0%
1.0 0%

Reviews

Muhammad Fiaz

· 5mos ago

Excellent

Walter Kielbus

· 1yr ago

average

Luís Da Silva Gama De Água Rosada

· 1yr ago

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.

Ali Asadi

· 1yr ago

good

Petroleum Data Analytics basics Course Description

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

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