Bilal Esmael
(Former)
11 - 17 out of 17Page size: 10
Research output
- 2013
- Published
Drilling Events Detection Using Hybrid Intelligent Segmentation Algorithm
Arnaout, A., Esmael, B., Fruhwirth, R. & Thonhauser, G., 2013, Hybrid Intelligent Systems (HIS) Conference. p. 1-1Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Improving Time Series Classification Using Hidden Markov Models
Esmael, B., Arnaout, A., Fruhwirth, R. & Thonhauser, G., 2013, Hybrid Intelligent Systems (HIS) Conference. p. 1-1Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Model-Based Hookload Monitoring and Prediction at Drilling Rigs using Neural Networks and Forward-Selection Algorithm
Arnaout, A., Esmael, B., Thonhauser, G. & Fruhwirth, R., 2013, European Geosciences Union General Assembly 2012. p. 1-1Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Operations Recognition at Drill-Rigs
Esmael, B., Arnaout, A., Thonhauser, G. & Fruhwirth, R., 2013, European Geosciences Union General Assembly 2012. p. 1-1Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Real-Time Classification of Drilling Operations using Trend Analysis of Hookload Sensor Measurements
Arnaout, A., Esmael, B., Fruhwirth, R. & Thonhauser, G., 2013, Kuwait International Petroleum Conference and Exhibition. p. 1-1Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2014
- Published
Distributed recognition system for drilling events detection and classification
Arnaout, A., O'Leary, P., Esmael, B. & Thonhauser, G., 2014, In: International Journal of Hybrid Intelligent Systems. 11, p. 25-39Research output: Contribution to journal › Article › Research › peer-review
- Published
Knowledge Extraction from Drilling Data Using Machine Learning Techniques
Esmael, B., 2014Research output: Thesis › Doctoral Thesis
