Data Analytics for Drilling Process Improvement
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 Yesterday’s practices are being superseded by a universal trend towards the extensive use of historical and real-time data to understand, learn and predict all well intervention operations.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
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
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:
- Business Unit Heads
- Data and Business Analysts
- Data Mining/Data Managers/Data Science Analysts
- Drilling and related operations
- Information Technology
- Risk Management
.8 CEUs (Continuing Education Units) are awarded for this 1-day course.
Dr Carlos Damski, the founder and CEO of Genesis Petroleum Technologies, has accumulated nearly 35 years of experience in IT, including the past 18 years during which he has focused on drilling data analysis, dealing with major companies around the world. He has a PhD in Computer Science from Sydney University and has a number of technical papers published in OTC, SPE, IADC, etc. He is the author of the book “Drilling Data Vortex – Where the bits meet the bits”. The book explains in details how to use data to improve drilling activities. Dr Damski combines an extensive experience in software technology and drilling procedures so he is in right position to model and extract business intelligence from drilling data, allowing companies to improve their drilling processes. Those are essential skills for the forthcoming Digital Drilling Engineer and data analysts. His expertise encompasses major field campaign development, from initial concepts, until the detailed plan and follow up. This closes the loop for continuous process improvement, where we plan, execute, analyse and provide feedback for future wells.
His expertise encompasses major field campaign development, from initial concepts, until the detailed plan and follow up. This closes the loop for continuous process improvement, where we plan, execute, analyse and provide feedback for future wells.