Abstract submission deadline is 16 February 2020!
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2–4 June 2020
Houston, Texas, USA
Geophysical data acquisition is currently undergoing a quiet revolution driven by new advances in distributed sensing approaches based on fiber optics, inexpensive nodal systems, and ubiquitous sensors embedded in the Internet of Things. The commonality between these approaches is the capacity to economically conduct ultra-high-density measurements at scales above 1000 sensing locations, providing an unaliased view of seismic wavefields as well as other measurands including strain and temperature. Distributed Fiber Optic Sensing (DxS) and Distributed Acoustic Sensing (DAS) in particular are moving from specialized tools for vertical seismic profiling to broadly utilized approaches deployed in boreholes, on the surface, and now on the seafloor with application domains in seismology, hydrogeology, and oceanography, as well as applied geophysics. With this rapid growth in measurement density have come new challenges in data management and analysis requiring focused development of approaches for identifying patterns and extracting information from these massive datasets, potentially exploiting machine learning methodologies.
This workshop seeks to bring together researchers from industry, academia, and the public sector involved in exploiting these recent sensing advances with the broader geoscience community to explore both the underlying technologies as well as new domains for distributed sensor deployment. The format of the workshop is intended to foster lively discussion and interaction, and includes an evening poster session to facilitate longer debates.
- Jonathan Ajo-Franklin, Rice University
- Chris Sherman, Lawrence Livermore National Laboratory
- Verónica Rodríguez Tribaldos, Lawrence Berkeley National Laboratory
- Ge Jin, Colorado School of Mines
- Biondo Biondi, Stanford University
- Scott Tyler, University of Nevada, Reno
- Albena Mateeva, Shell
- Mark Willis, Halliburton
- Bjorn Olofsson, ExxonMobil
- Philippe Jousset, GFZ Potsdam
More information coming soon!
Call for Abstracts
Call for Abstracts closes on 16 February 2020
- Frontiers in instrumentation and acquisition for distributed sensing: New techniques, measurands, and targets for distributed sensing
- Distributed sensing at the human interface: Applications in urban, agricultural, and infrastructure settings
- At the end of the technology “funnel”: End-user perspectives, application case histories, and cross-disciplinary collaborations in distributed sensing
- Distributed sensing beyond energy: Experiments in hydrogeology, seismology, volcanology, and the cryosphere
- Using distributed sensing to understand subsurface reservoirs in time and space
- Data management, analysis, and pattern discovery for massive distributed sensing datasets
- Unique processing and inversion approaches for distributed sensing datasets
Maximum two page abstract including figures and references. Abstracts should provide sufficient detail for the committee to judge the quality of the paper. Abstracts should be a minimum of one page of text, plus one figure (optional), with a maximum of two pages. Abstracts should be on 8.5 x 11 inch document, text in Roman font, size 10 point. The title should be one or two lines, at the top of the page, in bold Roman font, size 12 point. Authors should be listed in Roman italic font, size 10 point, and located just below the title. All text must stay one-inch clear of the margins on all sides of the page. Submissions should be in Adobe Acrobat PDF format and Word format. Abstracts should specify whether a poster or oral presentation is preferred, but the organizing committee may switch presentation categories based on availability.
Oral presentation will be 20 minutes in duration. A panel discussion including Q&A will take place at the end of each session. The poster session will be 1.5 hours and include refreshments.
Call for Abstracts closes:
16 February 2020
3 March 2020
Early bird savings end:
4 May 2020