Seismic imaging of vertical array data acquired using smart DAS uphole acquisition system
- Andrey Bakulin (Geophysics Technology, EXPEC Advanced Research Center, Saudi Aramco) | Pavel Golikov (Geophysics Technology, EXPEC Advanced Research Center, Saudi Aramco) | Kevin Erickson (Geophysics Technology, EXPEC Advanced Research Center, Saudi Aramco) | Ilya Silvestrov (Geophysics Technology, EXPEC Advanced Research Center, Saudi Aramco) | Young Seo Kim (Geophysics Technology, EXPEC Advanced Research Center, Saudi Aramco) | Robert Smith (Geophysics Technology, EXPEC Advanced Research Center, Saudi Aramco) | Mustafa Al-Ali (Geophysics Technology, EXPEC Advanced Research Center, Saudi Aramco)
- Document ID
- Society of Exploration Geophysicists
- 2018 SEG International Exposition and Annual Meeting, 14-19 October, Anaheim, California, USA
- Publication Date
- Document Type
- Conference Paper
- 2018. Society of Exploration Geophysicists
- Downhole receivers, Acquisition, Near surface, DAS (distributed acoustic sensors), Imaging
- 0 in the last 30 days
- 14 since 2007
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A novel acquisition scheme using distributed acoustic sensing (DAS) technology, which enables simultaneous near-surface characterization and deep reflection imaging, is proposed. At the heart of the system are the smart DAS upholes, a series of shallow wells instrumented by a continuous fiber-optic cable. Accurate long-wavelength statics captured from direct uphole measurements reduce interpretation uncertainty, while much of the surface wave noise that contaminates conventional surface acquisition is avoided when recording using buried vertical arrays. Here the first field tests conducted in Saudi Arabia are presented, focusing on the imaging results produced from data acquired from the vertical portions of the fiber. Both time and depth seismic images show excellent results despite large well spacing. Comparison of DAS data with legacy seismic revealed good agreement between them. The smart DAS uphole system is a paradigm shift in seismic acquisition that can overcome some of the major challenges caused by complex near surface conditions, resulting in improved data quality and reduction in exploration risk.
Presentation Date: Wednesday, October 17, 2018
Start Time: 8:30:00 AM
Location: 204C (Anaheim Convention Center)
Presentation Type: Oral
|File Size||786 KB||Number of Pages||5|
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