Develop knowledge and methodology for improved and automatic decision support and knowledge transfer during well construction. Applications:
Improve knowledge transfer
Early diagnosis of problems such as stuck pipe, poor hole cleaning and drillstring washout
Automatic decision support
Cooperating sub projects:
Sub project 1.1 develops or already has the needed visualization and graphical user interface to which our diagnosis system can connect. Our activity 6 “Develop visualization methodology for interpreted drilling data” is therefore removed from the activities list.
Our activity 2 “Development of data pre-processing methodology” will make use of the data quality module and status detection which is part of sub project 1.1
Cooperation is planned with Sub project 3.1 concerning activities 4 and 5 with 3.1 as project host. We will here draw on experience from the Mimir framework
Detailed analysis of historical data made available by participating companies
Development of data pre-processing methodology
Development of model-based interpretation.
Development of purely data driven interpretation methods based on modern data mining
Combine methods model-based and data driven methods developed above
Analyze results from a pilot which tests methods for stuck pipe and washout detection