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Arild Saasen
Researcher at University of Stavanger
Publications - 284
Citations - 3639
Arild Saasen is an academic researcher from University of Stavanger. The author has contributed to research in topics: Drilling fluid & Drilling. The author has an hindex of 27, co-authored 260 publications receiving 2765 citations. Previous affiliations of Arild Saasen include Det Norske Oljeselskap ASA & University of Illinois at Springfield.
Papers
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Journal ArticleDOI
Plug & abandonment of offshore wells: Ensuring long-term well integrity and cost-efficiency
Torbjørn Vrålstad,Arild Saasen,Erling Fjær,Thomas Monge Oia,Jan David Ytrehus,Mahmoud Khalifeh +5 more
TL;DR: In this article, a review of challenges and technologies for permanently plugged and abandoned offshore wells is presented, with an emphasis on cost-effective solutions while establishing permanent well barriers, and a discussion on the special considerations related to P&A of subsea wells is also included.
Journal ArticleDOI
Hole-cleaning performance comparison of oil-based and water-based drilling fluids
TL;DR: In this paper, the authors evaluated hole cleaning efficiency of an oil-based drilling fluid (OBM) and a water-based fluid (WBM) whose viscosity profiles are similar as per API specifications.
Proceedings ArticleDOI
Effect of Pipe Rotation on Hole Cleaning for Water-Based Drilling Fluids in Horizontal and Deviated Wells
Journal ArticleDOI
Viscoelastic properties of drilling fluids and their influence on cuttings transport
TL;DR: In this article, a water-based and an oil-based drilling fluid have been investigated regarding their viscoelastic properties, using the Anton Paar rheometers MCR 102 and MCR 302.
Proceedings ArticleDOI
Selecting Drilling Fluid Properties and Flow Rates For Effective Hole Cleaning in High-Angle and Horizontal Wells
TL;DR: In this article, the authors presented a method to determine optimum drilling fluid properties and flow rates to minimize cuttings bed height and circulation time in high angle and horizontal wells using empirical models.