scholarly journals The Use of Distributed Acoustic Sensing for 4D Monitoring Using Vertical Seismic Profiles: Results from the Aquistore CO2 Storage Project

2018 ◽  
Author(s):  
Kyle Harris
2020 ◽  
Vol 39 (7) ◽  
pp. 471-479 ◽  
Author(s):  
Denis Kiyashchenko ◽  
Albena Mateeva ◽  
Yuting Duan ◽  
Duane Johnson ◽  
Jonathan Pugh ◽  
...  

Time-lapse monitoring using 3D distributed acoustic sensing vertical seismic profiles (DAS VSPs) is rapidly maturing as a nonintrusive low-cost solution for target-oriented monitoring in deep water. In a Gulf of Mexico field, DAS fibers deployed in active wells enable detailed tracking of the water flood in two deep reservoirs. Multiple tests in adverse well conditions let us understand the impact of source size and other factors on the spatially dependent quality of time-lapse DAS data and prove that excellent image repeatability is achievable under typical field conditions. Frequent repeat surveys allowed us to predict the timing of water arrival in a producer and to observe new water injection patterns that are important for understanding water-flood performance. Going forward, DAS 4D monitoring is envisioned as a tool that can assist with proactive wells and reservoir management, new well planning, and reservoir model updates.


2019 ◽  
Vol 38 (11) ◽  
pp. 832-832
Author(s):  
Sarah Coyle ◽  
Jesús M. Salazar ◽  
Kyle T. Spikes

When borehole geophysics technologies and applications come to mind, often we think of vertical seismic profiles (VSPs), checkshots, or wireline logging measurements. Problems that have been addressed include resolution enhancement, coverage, illumination, and time-to-depth conversion, among others. The papers in this special section, however, extend these relatively well-known techniques to include salt proximity work, use of high-pressure and ultrahigh-pressure geophones in VSPs, distributed acoustic sensing (DAS), acoustic wellbore ranging, refinement of velocity models and image enhancement, and impacts on business value. Although all the papers could have been about, for example, DAS or vertical resolution improvements, this special section turned out to be broader in terms of the application of borehole geophysics. What drives the need for borehole geophysics in these applications? Is it the significance of business value? Is it scientific and engineering knowledge? Is it some combination thereof? The answers to those questions are not addressed directly, but each paper is unique and offers useful results and techniques across many disciplines. This special section is not extensive in terms of the number of papers, but those included are well worth reading.


2021 ◽  
Author(s):  
Sara Klaasen ◽  
Patrick Paitz ◽  
Jan Dettmer ◽  
Andreas Fichtner

<p>We present one of the first applications of Distributed Acoustic Sensing (DAS) in a volcanic environment. The goals are twofold: First, we want to examine the feasibility of DAS in such a remote and extreme environment, and second, we search for active volcanic signals of Mount Meager in British Columbia (Canada). </p><p>The Mount Meager massif is an active volcanic complex that is estimated to have the largest geothermal potential in Canada and caused its largest recorded landslide in 2010. We installed a 3-km long fibre-optic cable at 2000 m elevation that crosses the ridge of Mount Meager and traverses the uppermost part of a glacier, yielding continuous measurements from 19 September to 17 October 2019.</p><p>We identify ~30 low-frequency (0.01-1 Hz) and 3000 high-frequency (5-45 Hz) events. The low-frequency events are not correlated with microseismic ocean or atmospheric noise sources and volcanic tremor remains a plausible origin. The frequency-power distribution of the high-frequency events indicates a natural origin, and beamforming on these events reveals distinct event clusters, predominantly in the direction of the main peaks of the volcanic complex. Numerical examples show that we can apply conventional beamforming to the data, and that the results are improved by taking the signal-to-noise ratio of individual channels into account.</p><p>The increased data quantity of DAS can outweigh the limitations due to the lower quality of individual channels in these hazardous and remote environments. We conclude that DAS is a promising tool in this setting that warrants further development.</p>


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