Data Analytics for Drilling Process Improvement

---

Disciplines: Data Science and Engineering Analytics | Management

Course Description

In today’s world, traditional methods of drilling oil wells don’t work as much anymore. Yesterday’s practices are being superseded by a universal trend towards the extensive use of historical and real-time data to understand, learn and predict all well intervention operations. This course explores the impact of data analytics on well operations. Drawn from the presenter’s extensive experience in data analysis, it examines, in easily understandable terms, today’s data management processes targeting process improvement. The course explores issues related to:

• Basic concepts of data management with emphasis in drilling operations
• Methods of using data as a basis for improving and optimizing process control
• Achieving a common understanding of the issues involved among information technology personnel and field engineers
• A roadmap for the implementation of a drilling process improvement system
• Business Intelligence as the ultimate goal of data management processes
• Discussions about data acquisition, quality control, storage, retrieval and analyses
• Understanding concepts for operational time and trouble analyses, learning curve, technical limit and benchmarking
• Real business cases to illustrate the concepts explored in the course

Learning Level

Introductory

Course Length

2 Days

Why Attend

By the end of the course, participants are expected (to some extent) to:

• IDENTIFY potential solutions you can implement in your organization to strengthen the use of data as a corporate asset to improve the business’ bottom line
• MANAGE common issues in dealing with IT and engineers groups
• UNDERSTAND the importance of data management techniques to improve drilling processes
• LEARN essential data management and analytics techniques to effectively use them in the business context
• OBTAIN insightful knowledge on how to implement data management and data analytics in the company
• CONSIDER problems when working with multiple data sources for a single “view of the truth”
• LEARN how to effectively develop analytics for each level of data maturity in your company
• AVOID the use of self-centric data management projects which are “hard to sell” inside your company
• COMPARE Big Data and Small data with big results and small results
• ANALYZE step by step how to implement a process to improve drilling campaigns using performance metrics

Who Attends

This course is suitable for anyone who would like to master the field of Drilling Data Analytics and implement it to improve drilling and related operations in their companies.
Professionals who are responsible in the following functional areas would be relevant:

• Analytics
• Business Unit Heads
• Data and Business Analysts
• Data Mining/Data Managers/Data Science Analysts
• Drilling and related operations
• Information Technology
• Risk Management

CEUs

0.8 CEUs (Continuing Education Units) are awarded for this 2-days course.

Cancellation Policy

All cancellations must be received no later than 14 days prior to the course start date. Cancellations made after the 14-day window will not be refunded. Refunds will not be given due to no show situations.

Training sessions attached to SPE conferences and workshops follow the cancellation policies stated on the event information page. Please check that page for specific cancellation information.

SPE reserves the right to cancel or re-schedule courses at will. Notification of changes will be made as quickly as possible; please keep this in mind when arranging travel, as SPE is not responsible for any fees charged for cancelling or changing travel arrangements.

We reserve the right to substitute course instructors as necessary.

Instructor