Model-based early gas kick and well loss detection

Ala E. Omrani, Matthew A. Franchek, Karolos Grigoriadis, Reza Tafreshi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Drilled well control is a process that incorporates the assessment of well status through the monitoring of its physical parameters. This management allows the detection of well anomalies such as gas kick and mud loss. In this paper is developed a gas kick/ well loss early detection model that determines the well condition and early predicts possible anomaly. The developed model insures the system safety along the drilling operation through the early prediction of gas kick influx or mud loss using a model-based control system solution. A reduced order model is derived to predict the mud pressure and flow rate responses for given real time pre-filtered measurements. The model sensitivity to the well anomalies is captured through its coefficients variations permitting a real time evaluation of well status by monitoring the model coefficients location. The obtained results prove that the presented solution is capable of detecting a gas kick before the gas influx reaches the surface in contrast with the widely used delta flow method capturing the kick once the gas is on the floor level.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1228-1233
Number of pages6
Volume2016-September
ISBN (Electronic)9781509020652
DOIs
Publication statusPublished - 26 Sep 2016
Event2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016 - Banff, Canada
Duration: 12 Jul 201615 Jul 2016

Other

Other2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
CountryCanada
CityBanff
Period12/7/1615/7/16

Fingerprint

Gases
Monitoring
Security systems
Drilling
Flow rate
Control systems

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications
  • Software

Cite this

Omrani, A. E., Franchek, M. A., Grigoriadis, K., & Tafreshi, R. (2016). Model-based early gas kick and well loss detection. In 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016 (Vol. 2016-September, pp. 1228-1233). [7576938] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIM.2016.7576938

Model-based early gas kick and well loss detection. / Omrani, Ala E.; Franchek, Matthew A.; Grigoriadis, Karolos; Tafreshi, Reza.

2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016. Vol. 2016-September Institute of Electrical and Electronics Engineers Inc., 2016. p. 1228-1233 7576938.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Omrani, AE, Franchek, MA, Grigoriadis, K & Tafreshi, R 2016, Model-based early gas kick and well loss detection. in 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016. vol. 2016-September, 7576938, Institute of Electrical and Electronics Engineers Inc., pp. 1228-1233, 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016, Banff, Canada, 12/7/16. https://doi.org/10.1109/AIM.2016.7576938
Omrani AE, Franchek MA, Grigoriadis K, Tafreshi R. Model-based early gas kick and well loss detection. In 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016. Vol. 2016-September. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1228-1233. 7576938 https://doi.org/10.1109/AIM.2016.7576938
Omrani, Ala E. ; Franchek, Matthew A. ; Grigoriadis, Karolos ; Tafreshi, Reza. / Model-based early gas kick and well loss detection. 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016. Vol. 2016-September Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1228-1233
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