• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Øvrige samlinger
  • Publikasjoner fra CRIStin - NTNU
  • View Item
  •   Home
  • Øvrige samlinger
  • Publikasjoner fra CRIStin - NTNU
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Positioning and position error of petroleum wells

Gjerde, Tony; Eidsvik, Jo; Nyrnes, Erik; Bruun, Bjørn
Journal article, Peer reviewed
Published version
Thumbnail
View/Open
Gjerde.pdf (1.261Mb)
URI
http://hdl.handle.net/11250/2620854
Date
2011
Metadata
Show full item record
Collections
  • Institutt for matematiske fag [1396]
  • Publikasjoner fra CRIStin - NTNU [19849]
Original version
Journal of Geodetic Science. 2011, 1 (2), 158-169.   10.2478/v10156-010-0019-y
Abstract
We present a new model for the estimation of positional uncertainty of petroleum wells. The model uses a heavy tailed normal inverse Gaussian distribution for the errors in Earth's magnetic field reference values. These references are required for calculating the position of a well using magnetic directional surveying. The results show that the normal inverse Gaussian distribution gives a more realistic fit to the Earth's magnetic field reference values than the normal distribution, which is the current state of art. Errors in surveying sensors and reference errors are propagated along the well path to obtain the positioning uncertainty. The positional uncertainty is important for the probability of collisions between wells and for drilling accurate relief wells when an eventual collision has resulted in a blow-out situation. We compare results of the normal model used in the petroleum industry with our proposed model. The comparison is made for anti-collision calculations between drilled wells and a planned well. The results indicate a higher risk of collisions for certain well geometries when using the normal distribution, while a collision is avoided in the normal inverse Gaussian situation. We find clear differences between an approximate normal test and a Monte Carlo test.
Publisher
De Gryuter
Journal
Journal of Geodetic Science

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit