Introduction to Data Analytics in Oil and Gas

This program provides the essential skills in fundamental statistics, exploratory data analysis, and predictive models used to analyze data in various sectors of O&G.  You will gain the working understanding and appreciation of analytical methodologies, statistical data-driven techniques, and soft computing approaches to turn raw data into actionable knowledge.

The course starts with a review of fundamental statistical techniques and analytical workflows. It moves across the analytical maturity curve from exploratory data analysis to predictive and prescriptive methodologies. All case studies illustrate these soft computing models implemented against E&P data to solve business issues. Key topics include exploratory visualization techniques to discover trends and patterns;  how to build a predictive model; & how to score and operationalize a model. We shall close by applying techniques covered in the course against data brought by attendees. 

The training includes a guided walkthrough on a data-driven analytical methodology to build a predictive model which you can use with your work. 

Top Learning Objectives

  • Learn how to apply exploratory data analysis workflows to any structured and unstructured data
  • Review the evolution of the predictive analysis process
  • Identify key variables for dependent and independent relationships to build models
  • Apply a well-defined analytical process to sample data, explore data, modify data, model data and assess the models
  • Master the may soft computing techniques and how best to use them
  • Analyse surfacing trends and patterns analytics framework
  • Understand Data management for Analytics and Cognitive Analytics
  • Master the Cognitive Analytics framework

Who Should Attend?

This course is designed for but not limited to those who are directly involved with managing subsurface data information from exploration to production stages, and those who need a deeper understanding of the complexity and problems associated with Oil and Gas Data Analytics:

  • Data Analysts (Surface/Subsurface)
  • Data Management Specialists
  • Upstream Geoscientists
  • Technical Data Information Executives
  • Data Management, Heads/Managers
  • Geoscientists/Geologists/Geophysicists
  • Reservoir Engineers / Petroleum Engrs
  • Well Engineers
  • Exploration Managers
  • Development Managers

Event Details

15th – 17th APril 2019
Accra, Ghana