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Learning by example: fast reliability-aware seismic imaging with normalizing flows [article]

Ali Siahkoohi, Felix J. Herrmann
2021 arXiv   pre-print
In our numerical example, we obtain high-fidelity images from the Parihaka dataset and low-fidelity images are derived from these images through the process of demigration, followed by adding noise and  ...  Our main contribution is a data-driven variational inference approach where we train a normalizing flow (NF), a type of invertible neural net, capable of cheaply sampling the posterior distribution given  ...  Acknowledgment This research was carried out with the support of Georgia Research Alliance and partners of the ML4Seismic Center.  ... 
arXiv:2104.06255v1 fatcat:aueyigk2v5bjpj5bxtnjhycouu

When Models Meet Managers: Examples from Geomorphology [chapter]

Peter R. Wilcock, John C. Schmidt, M. Gordon Wolman, William E. Dietrich, DeWitt Dominick, Martin W. Doyle, Gordon E. Grant, Richard M. Iverson, David R. Montgomery, Thomas C. Pierson, Steven P. Schilling, Raymond C. Wilson
2013 Prediction in Geomorphology  
We present five examples of the interaction between models and managers and consider factors that influence their success or failure.  ...  Reviews by Michael Church, Richard Pike, John Pitlick, and Kevin Schmidt improved the document.  ...  It is likely that these measures would not have been taken, or pursued so vigorously, without the public awareness of debris-flow hazards already raised by the LWS. (Richard M. Iverson, Steven P.  ... 
doi:10.1029/135gm03 fatcat:pz3t5aev4jhgxgriu5so5c3bzm


V.N. Golodnaya
2017 Russian Linguistic Bulletin  
However, widespread journalistic rendering of text not only allows to learn the information about the fact in the variety of his qualities, but quite often leads to "imbalance" of information flow when  ...  Describing this act on the example of two boys -Nakip and Ilgiz, he addresses the reader with a certain poetic purpose. Another example from a poem by R.  ...  image in the story, the image of a little hero who can be misunderstood by the modern reader.  ... 
doi:10.18454/rulb.9.11 fatcat:eudotg3xsvhqjjsjdeddyjqrfa

Machine Learning improves debris flow warning

Małgorzata Chmiel, Fabian Walter, Michaela Wenner, Zhen Zhang, Brian W. McArdell, Clement Hibert
2020 Geophysical Research Letters  
They move downstream with average velocities of several meters per seconds showing an unsteady and nonuniform flow behavior (Iverson, 1997) .  ...  Debris flows are complex mixtures of water, fragmented rock and sediments of all sizes, which are mobilized by heavy precipitation in steep torrents.  ...  In analogy to image recognition, typical debris flow characteristics could be learnt by the first layers, whereas site-specific attributes of the seismic signals may be learnt by lower layers.  ... 
doi:10.1029/2020gl090874 fatcat:5blr2fgot5b7ze6peoh5q6i4cm

Chinese Foreign Aid and Financing: An Example of New Development Assistance? [chapter]

Denghua Zhang
2019 Governing China in the 21st Century  
These changes have grown more complex and challenging as China deals with modernization, globalization, and informatization.  ...  This series publishes research by Chinese and international scholars on China's politics, diplomacy, public affairs, and social and economic issues for the international academic community.  ...  aid officials have worked around the clock to keep pace with the fast-growing aid commitment made by the government.  ... 
doi:10.1007/978-981-13-7232-2_10 fatcat:dvgbtayh5rbednkjrkpytfv46q

The erosion of granite surfaces: The Cathedral of Évora as example [chapter]

D Costa
2013 Science and Technology for the Conservation of Cultural Heritage  
enriching and enhancing quality of life, in delivering answers to basic questions about our historic origins, in providing solutions to environmental and construction-related problems, and in interacting with  ...  P2009-MAT1629) funded by the Regional Government of Madrid; [2] CONSOLIDER programme (CSD2007-00058); [3] Laser equipment provided by CTS company, special thanks to Fabio dal Mo.  ...  It is only after much of value is lost that there is an awareness of the damage caused by this slow impact of the environment.  ... 
doi:10.1201/b15577-29 fatcat:2j5husfewzgzza3hcudiainyhq

Image Beyond A Standardized Workflow For Geothermal Exploration (D2.05)

IMAGE Consortium
2017 Zenodo  
Geothermal systems need to be appraised in such a way that exploration wells can be sited with greater accuracy as capital costs for drilling are very high.  ...  Exploration), received a grant of over €10 million by the European Commission within the 7th Framework Programme for Research and Technological Development (FP7).  ...  Additionally the resolution of seismic imaging can be increased by combining active seismic with processed ambient noise recordings.  ... 
doi:10.5281/zenodo.1255213 fatcat:6w3f72fm6ffqxnnzdgmgirqn6u

From mechanical modeling to seismic imaging of faults: A synthetic workflow to study the impact of faults on seismic

Charlotte Botter, Nestor Cardozo, Stuart Hardy, Isabelle Lecomte, Alejandro Escalona
2014 Marine and Petroleum Geology  
To evaluate the potential of seismic data for imaging fault structure and properties, we introduce a forward seismic modelling workflow consisting of four steps: fault modelling, elastic properties definition  ...  This workflow is applied to normal faulting in siliciclastic sequences.  ...  Mechanical modeling was performed using the program cdem2D by Stuart Hardy, finite strain was computed using the program SSPX by Nestor Cardozo and Richard Allmendinger, seismic imaging simulation was  ... 
doi:10.1016/j.marpetgeo.2014.05.013 fatcat:trke34gjbbex3j46j5ryzmb32q

Spatiotemporal event detection: a review

Manzhu Yu, Myra Bambacus, Guido Cervone, Keith Clarke, Daniel Duffy, Qunying Huang, Jing Li, Wenwen Li, Zhenlong Li, Qian Liu, Bernd Resch, Jingchao Yang (+1 others)
2020 International Journal of Digital Earth  
Spatiotemporal event detection serves as a gateway to enable a better understanding by detecting events that represent the abnormal status of relevant phenomena.  ...  Yu wrote the paper with assistant from other authors. Yang revised the paper with other authors. Other authors contributedly equally to the paper for idea, writeup, and revision.  ...  Disclosure statement No potential conflict of interest was reported by the author(s). Funding  ... 
doi:10.1080/17538947.2020.1738569 fatcat:urbuc2zii5bajjmmkzu6idyrg4

Analytics and Evolving Landscape of Machine Learning for Emergency Response [chapter]

Rajendra Akerkar Minsung Hong
2019 Zenodo  
As a branch of artificial intelligence, machine learning technologies have the out-standing advantages of self-learning, self-organization, and self-adaptation, along with simpleness, generality and robustness  ...  , such as situational awareness and real-time threat assessment using diverse streams of data.  ...  -Reliability, efficiency, and scalability of a system: How can we deal with sparse, noisy and large number of label classes such as tagging images for Deep Learning based computer vision algorithms?  ... 
doi:10.5281/zenodo.5106014 fatcat:ui7kmryflbaljkim4u2ync2dqi

A Review on Vehicle Classification and Potential Use of Smart Vehicle-Assisted Techniques

Hoofar Shokravi, Hooman Shokravi, Norhisham Bakhary, Mahshid Heidarrezaei, Seyed Saeid Rahimian Koloor, Michal Petrů
2020 Sensors  
To deal with the limitation of the available VC methods, potential global methods to identify physical and kinematic characteristics in real time states are investigated.  ...  Vehicle classification (VC) is an underlying approach in an intelligent transportation system and is widely used in various applications like the monitoring of traffic flow, automated parking systems,  ...  Image-based VC is another technique using omnidirectional camera aerial images, CCTV, or normal cameras.  ... 
doi:10.3390/s20113274 pmid:32521806 pmcid:PMC7309154 fatcat:gij3xqj7vbellcsjo6mmmotsba

Cross-streamer wavefield reconstruction through wavelet domain learning

Thomas Andre Larsen Greiner, Volodya Hlebnikov, Jan Erik Lie, Odd Kolbjørnsen, Andreas Kjelsrud Evensen, Espen Harris Nilsen, Vetle Vinje, Leiv-J Gelius
2020 Geophysics  
Both conventional marine seismic and wide azimuth data acquisition lack near offset coverage, which limits imaging in these settings.  ...  Seismic exploration in complex geological settings and shallow geological targets has led to a demand for higher spatial and temporal resolution in the final migrated image.  ...  Andreas Kjelsrud Evensen and Espen Harris Nilsen for help and mentoring on seismic data processing, which has been crucial to this thesis.  ... 
doi:10.1190/geo2019-0771.1 fatcat:zrwxnosiobb4xp5yltgffxagti

A Vision on a UNESCO Global Geopark at the Southeastern Dead Sea in Jordan—How Natural Hazards May Offer Geotourism Opportunities

Djamil Al-Halbouni, Osama AlRabayah, David Nakath, Lars Rüpke
2022 Land  
This highlight area of the proposed UGGp serves as a starting example for delineating safe zones for walkways and infrastructure.  ...  The cross-cutting benefits for the territory involve the delineation of safe areas for agriculture and geotourism, the increase of sustainable tourism in the region with a shift towards alternative ways  ...  We are grateful for the discussions with Hakim Al-Tamimi and William Al Ajalian.  ... 
doi:10.3390/land11040553 fatcat:rtnpz4pkmjbslfsdtc4ixuoapm

Volcano Monitoring: A Case Study in Pervasive Computing [chapter]

Nina Peterson, Lohith Anusuya-Rangappa, Behrooz A. Shirazi, WenZhan Song, Renjie Huang, Daniel Tran, Steve Chien, Rick LaHusen
2009 Computer Communications and Networks  
Recent advances in wireless sensor network technology have provided robust and reliable solutions for sophisticated pervasive computing applications such as inhospitable terrain environmental monitoring  ...  Acknowledgment This work is partially supported by NASA AIST Grant #106269, NSF-ITR grant IIS-0326505 and NSF-ITR grant IIS-0324835.  ...  For example, when necessary, seismic data, typically recorded at 100 Hz, will be reduced by two orders of magnitude at the node level by reporting an average real-time seismic amplitude monitor (RSAM)  ... 
doi:10.1007/978-1-84882-599-4_10 dblp:series/ccn/PetersonASSHTCL10 fatcat:6tae5cftingn7lusnecq3puv7y

Conditioning of deep-learning surrogate models to image data with application to reservoir characterization

Cong Xiao, Olwijn Leeuwenburgh, Hai Xiang Lin, Arnold Heemink
2021 Knowledge-Based Systems  
The use of open source codes OPM-flow ( is gratefully acknowledged.  ...  Additional Computing resources were provided by the Mathematics Physics Group, Department of Applied Mathematics at Delft University of Technology.  ...  For example, Dawid and Gautam reported hybrid solutions by training different types of neural networks with heuristic validation mechanism in the problem of image reconstruction [32] .  ... 
doi:10.1016/j.knosys.2021.106956 fatcat:2cmpvmxvg5a3fdl3oqs2f7rbpi
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