Data Science Techniques for Prediction of Well Performance MasterClass - EU edition

21-22 November, 2024

Predicting the well performance isn't just advantage, it's necessary!

Data Science Techniques for Prediction of Well Performance MasterClass - EU edition

This two-day masterclass offers a deep dive into the cutting-edge methods that are transforming the oil and gas industry,leveraging data science to enhance performance prediction and optimization strategies.

21-22 November, 2024, Virtual

Time Zone: UTC/GMT+1 /CET

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Pharma Online Masterclass

Overview

In the rapidly evolving landscape of oil and gas production, the ability to predict well performance accurately is not just an advantageits a necessity. This two-day master-class offers a deep dive into the cutting-edge methods that are transforming the oil and gas industry. This course is ideal for professionals who are looking to leverage data science to enhance performance prediction and optimization strategies. By the end of the course, participants will confidently apply data science techniques to optimize performance and make informed decisions in their respective roles within the industry.

Day 1: Embark on a journey through the intricacies of complex reservoirs. Learn how to harness a variety of tools and techniques for robust reservoir characterization and production forecasting. Discover the unique challenges of production prediction in unconventional reservoirs.

Day 2: Step into the world of predictive modeling. Through a blend of case studies and practical examples, youll explore the predictivity of well performance using advanced data science methods. Delve into production optimization and the ethical considerations of data science, all while keeping an eye on the horizon for future developments.

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who should attend imgRECOMMENDATION

Who should attend?


Experienced Reservoir Engineers: Professionals with experience in reservoir management and analysis looking to integrate data science into their reservoir management strategies.

Data Analysts and Scientists in the Energy Sector: Those who specialize in applying machine learning and data analytics to geological and production data, aiming to apply their skills to optimize oil and gas production.

Production Engineers: Engineers seeking to enhance well performance and recovery rates through data-driven decisions.

Technical Managers: Decision-makers interested in leveraging data science for more efficient resource management.

Testimonial

Our success stories

"High attention to detail in course content and very well delivered"

Simon Halsey
Product Development Manager
Essentra Packaging
United Kingdom

Our success stories

"Very good training led by two knowledgeable and open experts. Excellent insight given on many complex topics. Interactive and highly useful"

Aurelie Vivicorsi
USP PD Team Manager
Celonic AG
Switzerland

Our success stories

"Great course, impressed with the knowledge of the trainers and ability to answer wide variety of questions!"

Emilia Szwej
Manager, Senior Investigator
MT Sword Laboratories (BMS)
Germany

About GLC

Global Leadership Conferences began as an ambitious dream by three founders ten years ago. Today its an international series of interactive events, exploring the hottest topics in critical fields. Each year, thousands of professionals join us to challenge the status quo and learn innovative ways to create new solutions in Finance, Pharmaceutical, HR, Health & Safety, and Energy.

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Speakers

23,714

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Testimonial

Our success stories

"High attention to detail in course content and very well delivered"

Simon Halsey
Product Development Manager
Essentra Packaging
United Kingdom

Our success stories

"Very good training led by two knowledgeable and open experts. Excellent insight given on many complex topics. Interactive and highly useful"

Aurelie Vivicorsi
USP PD Team Manager
Celonic AG
Switzerland

Our success stories

"Great course, impressed with the knowledge of the trainers and ability to answer wide variety of questions!"

Emilia Szwej
Manager, Senior Investigator
MT Sword Laboratories (BMS)
Germany

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