DEFINE | Management Consultancy & Training

MACHINE LEARNING & DATA MANAGEMENT IN HEAVY OIL FIELDS

Location

London, UK

Date

From Date: 12-Feb-2024
To Date: 16-Feb-2024

Duration

5 Days

Language

English

Discipline

Drilling & Reservoir Training

Introduction

Machine learning (ML) focuses on the use and development of computer systems that learn from data and past experiences while identifying patterns to make predictions with minimal human intervention.
The Oil and Gas sector recognizes the profound shifts occurring in the energy and technological realms, shaped by interconnected drivers of growth: escalating energy demand, the transformation of energy systems, and ongoing technological evolution and revolution.
As the Oil and Gas industry undergoes transformation, there is a heightened need to amalgamate leadership prowess, domain expertise, and knowledge, addressing the persisting data silos within organizations. This course is designed to provide a foundational understanding of the petroleum industry and machine learning, along with comprehensive data management. Its primary aim is to empower organizations within the industry to leverage their data effectively, mitigating the omnipresent risk and uncertainty prevalent in the oil and gas sector, and fostering a path to success.

Objective

By the end of this training, participants will learn to:

Apply Machine learning concepts in oil and gas industry
Learn to identify the impact of data quality and data management on success of oil and gas enterprise
Acquire the knowledge about data management framework
Identify the machine learning algorithms applied within the oil and gas industry
Apply Machine Learning Algorithm to predict problems in the oil and gas fields operations.

Audience

Content

This training course is suitable to a wide range of professionals but will greatly benefit:

Petroleum Data Analysts
Petroleum Engineers
Systems Analysts
Programmers
Data Analysts
Database Administrators
Project Leaders
Managers
Software Engineers

Certificate

Define Management Consultancy & Training Certificate of course completion will be issued to all attendees.

Methodology

The training course will be highly participatory and the course leader will present, guide and facilitate learning, using a range of methods including formal presentation, discussions, sector-specific case studies and exercises. Above all, the course leader will make extensive use of real-life case examples in which he has been personally involved. You will also be encouraged to raise your own questions and to share in the development of the right answers using your own analysis and experiences. Tests of multiple-choice type will be made available on daily basis to examine the effectiveness of delivering the course.

30% Lectures
30% Workshops and work presentation
20% Case studies & Practical Exercises
10% Role Play
10% Videos, Software or Simulators (as applicable) & General Discussions

Course Details