Change search
ReferencesLink to record
Permanent link

Direct link
Drilling mud property estimator
Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Engineering Cybernetics.
2013 (English)MasteroppgaveStudent thesis
Abstract [en]

In 1969 the first petroleum discovery was made on the Norwegian continental shelf. This founding marks the beginning of what has become the most important contribution to the Norwegian economy. Advanced research within the field and development of techniques and equipment has been necessary in the ongoing work, and the technology has come a long way since 1969. However, when it comes to one of the most important parts of the drilling operation, namely the drilling fluid, the techniques used today are largely based on the same techniques used over 20 year ago. Today, the properties of the drilling fluid are manually measured in interval of 15 minutes. By obtaining an automatic update of the drilling fluid measurements, errors caused by human inaccuracy or uncertainties in old-fashioned measurement techniques, can be avoided. It will also be highly significant for the field of automated drilling operations. In this thesis, the functionality of the drilling fluid and the possibility of using unscented Kalman filters to estimate drilling fluid properties have been studied. The implementations were divided into two cases; Case 1 and Case 2. In Case 1 the theory behind the Instrumented stand pipe was applied on pressure measurements made in the annulus. Two systems were used in this case to generate test-data (system inputs and available measurements). A simple model simulating two differential pressures; one over a vertical annulus section, and the other one over a nearly horizontal annulus section, was first implemented in Simulink®. Based on test-data from this model the unscented Kalman filter was used to estimate the drilling fluid properties density and plastic viscosity. Secondly, the unscented Kalman filter was executed with test-data from the advanced drilling simulator WeMod. In Case 2, the unscented Kalman filter from Case 1 was combined with an unscented Kalman filter estimating the mud pump pressure, choke pressure, flow through the bit, and a geometry parameter. Also in this case, the unscented Kalman filters were tested in two scenarios. First by using test-data from a simple model of a drilling system implemented in Simulink®, and secondly by using test-data from WeMod. In this thesis it was found that in the scenarios where test-data were generated by the Simulink® models, the unscented Kalman filter estimating density and plastic viscosity had an acceptable performance. In the scenarios were test-data from WeMod was used, the unscented Kalman filters estimating density and plastic viscosity did not perform as desired. It found that the frictional pressure loss in the vertical and horizontal annulus sections were different in the WeMod simulation, which may partly be the reason for way the filters did not managed to estimate the right density and plastic viscosity.

Place, publisher, year, edition, pages
Institutt for teknisk kybernetikk , 2013. , 80 p.
Identifiers
URN: urn:nbn:no:ntnu:diva-22470Local ID: ntnudaim:8852OAI: oai:DiVA.org:ntnu-22470DiVA: diva2:649714
Supervisors
Available from: 2013-09-19 Created: 2013-09-19 Last updated: 2013-09-19Bibliographically approved

Open Access in DiVA

fulltext(2132 kB)6721 downloads
File information
File name FULLTEXT01.pdfFile size 2132 kBChecksum SHA-512
04976536365845b76f2f253f066e46877e6a557c950e5f23e37b894d64b4f1068624656ed9bc552ef399d7f7d94fbd8882a26946dd98dfa81e72ca6b1da25e62
Type fulltextMimetype application/pdf
cover(184 kB)23 downloads
File information
File name COVER01.pdfFile size 184 kBChecksum SHA-512
8abbf3cbad59306ba47845dfe1111781d83734d0a06f54eae832738cf71a5cbaf009a887f2b94a4b84ebf76112f71806e6b7159e6c0d7494a3f80623cfdac754
Type coverMimetype application/pdf

By organisation
Department of Engineering Cybernetics

Search outside of DiVA

GoogleGoogle Scholar
Total: 6721 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 928 hits
ReferencesLink to record
Permanent link

Direct link