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Learnings From Strain Measurements on an In-Field Conductor and Wellhead System

[+] Author Affiliations
Rohit Shankaran, Alexander Rimmer

2H Offshore, Ltd., Woking, UK

Alan Haig

TOTAL E&P UK, Aberdeen, UK

Paper No. OMAE2018-78521, pp. V003T02A096; 11 pages
  • ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering
  • Volume 3: Structures, Safety, and Reliability
  • Madrid, Spain, June 17–22, 2018
  • Conference Sponsors: Ocean, Offshore and Arctic Engineering Division
  • ISBN: 978-0-7918-5122-7
  • Copyright © 2018 by ASME


In recent years due to use of drilling risers with larger and heavier BOP/LMRP stacks, fatigue loading on subsea wellheads has increased, which poses potential restrictions on the duration of drilling operations. In order to track wellhead and conductor fatigue capacity consumption to support safe drilling operations a range of methods have been applied:

• Analytical riser model and measured environmental data;

• BOP motion measurement and transfer functions;

• Strain gauge data.

Strain gauge monitoring is considered the most accurate method for measuring fatigue capacity consumption. To compare the three approaches and establish recommendations for an optimal approach and method to establish fatigue accumulation of the wellhead, a monitoring data set is obtained on a well offshore West of Shetland. This paper presents an analysis of measured strain, motions and analytical predictions with the objective of better understanding the accuracy, limitations, or conservatism in each of the three methods defined above.

Of the various parameters that affect the accuracy of the fatigue damage estimates, the paper identifies that the selection of analytical conductor-soil model is critical to narrowing the gap between fatigue life predictions from the different approaches. The work presented here presents the influence of alternative approaches to model conductor-soil interaction than the traditionally used API soil model.

Overall, the paper presents the monitoring equipment and analytical methodology to advance the accuracy of wellhead fatigue damage measurements.

Copyright © 2018 by ASME



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