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ONLINE: Data Analysis for Drilling Optimisation (DRI947)

  • 17-21 October 20225 daysVirtual instructor-led course, OnlineCourse Fee: 2450 EUR + VAT


This course will identify key drilling processes and take the participants through the process of creating sufficient detail and granularity in the process description. This stage is critical to allow meaningful data to be collected for the creation of benchmarks and SMART KPIs.

Within the course, key areas of drilling process and concepts will be revised to allow the value of the associated data collection and analysis to be understood.
The drilling optimisation process and the process of creating continuous improvement at each stage of well construction will be examined in detail.

Course Structure: 5 sessions of 6 hours each, delivered over 5 days
Each session includes several breaks and will allow time for questions and discussions.

Course Level: Foundation / Skill
Instructor: Kevin Gray & Martin Hayes

Designed for you, if you are...

  • A drilling engineer or drilling supervisor
  • A professional with an interest in improving drilling performance

The course can be adapted to meet the requirements of whole rig team training if required.

How we build your confidence

  • Practical video demonstrations of all the key principles using models and live explanations
  • Mixed, instructor-led delivery of theoretical content with blend of PowerPoint overview, video whiteboard explanations of detail and time for class interactive questions and answers
  • A narrative that runs through the course where each topic is inter-related and built on the previous learnings

The benefits from attending

The course will provide a firm grounding in data-led drilling optimisation, allowing participants to apply a robust methodology to the implementation of drilling optimisation processes on their projects.


  • Describing and understanding the nature of drilling inefficiencies
  • The value of data in the optimisation process
  • Effective offset well review
  • Data verification and validation
  • Engineering models as a basis for limit and deviation analysis
  • Removing human factors and fallibilities from data analysis
  • Understanding the key process elements of drilling
  • Creating effective data sets to benchmark drilling elements
  • Creating meaningful Key Performance Indicators (KPI) from benchmark data
  • Continuous improvement process
  • Introduction to probability and risk
  • Costing inefficiencies in the drilling process
  • Probability distributions and probability modelling in drilling data
  • Graphical representation for probabilistic times and costs
  • Introduction to Risk Management, using the ‘Accident’ approach to risk data collection
  • Creation of a data driven Risk Register with quantified risk impacts
  • Rigsite monitoring of risk and the rigsite drilling optimisation process
  • Designing drilling process to the rig, well and geological conditions
  • Optimising performance against conflicting goals, hole cleaning, drilling dynamics, ECD etc
  • The dangers of ‘realtime’ Remote monitoring and ROP enhancing techniques
  • Data overload, designing displays, meetings and reports for effective communication
  • The optimised well design process and how it differs from conventional drilling




HOT Engineering GmbH   Tel: +43 3842 43 0 53-0   Fax +43 3842 43 0 53-1   hot@hoteng.com