An Intensive 10-day Training Course
Data Science and Analytics for Oil & Gas
Data Science and Analytics for Oil & Gas
Would an alternative date be more suitable?
We offer a variety of tailored training options, customized to meet your organisation's needs. Delivered anytime, anywhere, we make it easy to bring expert training directly to your team.
MODULES
This PetroKnowledge training course is split into two modules:
MODULE I - Data Analysis Techniques
MODULE II - Infographics & Data Analytics for Oil & Gas Reporting
Each module is structured and can be taken as a stand-alone training course; however, delegates will maximise their benefits by taking Module 1 and 2 back-to-back as a two-week training course.
Daily Agenda
Module 1: Data Analysis Techniques
Day One: – Logical and Reliable Data Analysis, Descriptive Statistics, and Pivot Tables
- Importing data into Excel
- Best practice when analyzing data
- Analyzing and representing coded data
- Descriptive statistics and their real meanings
- Performing a frequency analysis
- The use of pivot tables and pivot charts
- Noisy and incomplete data, statistical significance and dealing with outliers
Day Two: – Data Mode Shape Analysis
- Plotting data against time
- Generating data mode shapes
- Fitting curves to data
- Correlating mode shape to time-based events
- Interpreting time series analyses
- Moving average calculations
Day Three: – Scenario Analysis and Interactive Spreadsheets
- Representing analytical problems as multi-input, single-output (MISO) systems
- Deterministic systems analysis
- What if and visual scenario analysis
- Dynamic / interactive spreadsheets and the use of forms control
- Moving window, conditional and adaptive calculations
- Measuring the sensitivity of calculated variables
Day Four: – Regression Analysis and Correlation
- Equations of curves
- The prediction of future behavior using data shape – regression analysis
- Linear, polynomial, exponential and power curve fits
- The dangers of over-fitting
- Data end effects
- Goodness of fit (sum of square error – SSE) and R2
- Evaluating equations, solving equations, and using Solver
- Correlation and causality
Day Five: – Data Driven Methods and Analysis of Variance
- Non-deterministic system
- Data driven methods
- One step ahead future prediction using data science (multivariate correlation)
- Single factor analysis of variance (ANOVA)
- Two factor analysis of variance
- A demonstration of artificial intelligence – the travelling salesman problem
Module 2: Infographics & Data Analytics for Oil & Gas Reporting
Day Six: Introduction and Descriptive Statistics
- What is Data Analysis?
- A reminder of elementary statistics and compensations for small sample sizes
- A Quick-start Tutorial for Excel
- Describing Data Sets using Statistics
- Representing Data Sets Graphically
- How to create Info-graphic in Excel
- How Info-graphics Data Presentation compares to the Traditional Methods
Day Seven: Frequency and Time Series Analysis
- Frequency of Occurrence
- Histograms
- Pareto Analysis
- How Excel Dashboard is Different from Info-graphics
- How to combine Excel and Power Point for Creating Info-graphics
- Time Series and Trend Analysis
- Estimation Theory and Its Relevant to Oil and Gas Data
Day Eight: Scenario Analysis, Confidence and Six Sigma
- Modelling Scenario and their Application in Oil and Gas Companies
- Interactive Spreadsheets
- Confidence Intervals
- Usefulness of Control Chart for Oil and Gas Companies
- Error Bars
- Online Tools for Creating Info-graphics
- Practical Creation of Info-graphic using real Data
Day Nine: Regression Analysis Equations and System Modeling
- Simple Regression Analysis
- Polynomial Curve Fits
- Describing Data Using Equations
- Prediction
- The Applications of Regression to Oil and Gas Companies
- Analysis Of Variance (ANOVA)
- Comparing Different Types of Info-graphics
Day Ten: The Info-graphics Creation and Critique
- Presenting Data Using Appropriate Reporting Style
- Practice Creating the Info-graphics and Its Presentation
- Focus on the Storytelling
- Overall Review of Concepts Learned and How they can be applied in practice
Certificate
- On successful completion of this Training Course / Online Training Course, a PetroKnowledge Certificate / E-Certificate will be awarded to the delegates.
