Abstract
The Faroe–Shetland basin (FSB) is considered challenging for oil and gas exploration due to its complex geological structure and limited exploration drilling activity. The costs of drilling in the basin are the most expensive within the United Kingdom Continental Shelf (UKCS) due to varying geological and engineering challenges. The prevalence of igneous sill complexes within the basin present drilling hazards that con-tribute to drilling nonproductive time (NPT) and are documented in multiple studies. Recent advancements in ultradeep azimuthal resistivity (UDAR) technology which utilizes the look-ahead portion of the electromagnetic (EM) signal presents an opportunity to assess its suitability as a derisking tool to ‘look-ahead’ and detect igneous intrusions in volcanic basins. This paper utilizes resistivity log data from Well 214/28-1, which encountered multiple igneous intrusions and is used to validate the ability of these tools to detect the intrusions. The EM look-ahead technology detected with good confidence the top of an igneous intrusion 72 ft (22 m) true vertical depth (TVD) ahead of the transmitter and once drilled, detect the base of the intrusion 54 ft (16 m) TVD ahead of transmitter. The detection of the intrusions prior to drilling and information on intrusion thickness can enable proactive drilling decisions to reduce nonproductive time.
Original language | English |
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Title of host publication | The Impacts of Igneous Systems on Sedimentary Basins and their Energy Resources |
Publisher | Geological Society of London |
Pages | 415-424 |
Number of pages | 10 |
Edition | 1 |
ISBN (Print) | 9781786206169 |
DOIs | |
Publication status | Published - 9 Aug 2024 |
Publication series
Name | Geological Society Special Publications |
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Publisher | Geological Society |
Volume | 547 |
ISSN (Electronic) | 2041-4927 |
Bibliographical note
This paper contains information provided by the UK North Sea Transition Authority (NSTA) and other third parties. 3D seismic data used throughout this paper were purchased from the NSTA National Data Repository (NDR) portal. The availability of the 3D survey and offshore wells provided by the NSTA NDR was key to facilitating this study.The seismic data used in this study (NSTA NDR code JX123D0001, name JX__2012seis0001) are available from the NSTA NDR (https://ndr.nstauthority.co.uk/).