Introduction to Artificial Intelligence Concept, Methodologies, and Applications in Oil & Gas Production Analysis and Optimization
Course Description
This course is presenting an overview on artificial intelligence, the most common algorithms in machine learning, and different applications in oil and gas industry.
The Training Course Will Highlight ?
Training Objective

Target Audience

Training Methods

Daily Agenda

DAY 1: Introduction to artificial intelligence

  • What is artificial intelligence?
  • Different applications of artificial intelligence.
  • Why we need artificial intelligence in the petroleum industry.

DAY 2: Types of machine learning

  • Different types of machine learning.
  • The most common machine learning algorithms.
  • Artificial neural network (ANN).

DAY 3: Applications of machine learning in the upstream industry

  • Digital oilfield implementations
  • History of machine learning in oil fields
  • Applications in geosciences, reservoir, and drilling engineering

DAY 4: Application of machine learning in oil & gas production

  • Production Engineering Overview
  • Production Optimization
  • Predicting Well Rate Potential
  • The most common applications in production engineering

DAY 5: Implementation of machine learning different algorithms

  • Different programming languages.
  • Data Preprocessing
  • Python Programming.
  • Installation and getting started with python
Accreditation

BTS attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.

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Course Rounds : (5 -Days)


Code Date Venue Fees Register
DE241-02 08-07-2024 Amsterdam USD 6950
DE241-03 13-10-2024 Casablanca USD 5450
DE241-05 01-12-2024 Dubai USD 5450
Prices doesn't include VAT

UpComing Date


Details
  • Start date 08-07-2024
  • End date 08-07-2024

Venue
  • Country Nethersland
  • Venue Amsterdam

Quality Policy

 Providing services with a high quality that are satisfying the requirements
 Appling the specifications and legalizations to ensure the quality of service.
 Best utilization of resources for continually improving the business activities.

Technical Team

BTS keen to selects highly technical instructors based on professional field experience

Strengths and capabilities

Since BTS was established, it considered a training partner for world class oil & gas institution

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