Efficient Backcalculation Algorithm of Time Domain for Large-Scale Pavement Systems Using Ritz Vectors

Author(s):  
Q. Dong ◽  
Y. Hachiya ◽  
O. Takahashi ◽  
Y. Tsubokawa ◽  
K. Matsui
Keyword(s):  
2002 ◽  
Vol 38 (12) ◽  
pp. 1131-1150 ◽  
Author(s):  
Q.X. Dong ◽  
Y. Hachiya ◽  
O. Takahashi ◽  
Y. Tsubokawa ◽  
K. Matsui

2004 ◽  
Author(s):  
Eric Michielsssen ◽  
Weng C. Chew ◽  
Jianming Jin ◽  
Balasubramaniam Shanker

2015 ◽  
Vol 3 (2) ◽  
pp. T109-T120 ◽  
Author(s):  
Sofia Davydycheva ◽  
Alexander Kaminsky ◽  
Nikolai Rykhlinski ◽  
Andrei Yakovlev

We evaluated the results of a large-scale commercial project that illustrated the capabilities of advanced time-domain electromagnetic (TDEM) technologies powered with integrated interpretation of geologic and geophysical data. To study the hydrocarbon prospectivity of a field in Eastern Siberia, we developed a survey design, and then acquired, processed, and interpreted the TDEM data from 30 profiles (total length 772 km) covering an area of approximately [Formula: see text]. The data were acquired using the conventional TDEM and a novel high-resolution version of TDEM, the focused-source electromagnetic method. We described the geologic framework, data acquisition methodologies, and key results obtained using integrated TDEM, seismic, and well-logging data. The interpretation was used to select well locations for additional exploratory drilling. Postsurvey drilling supported our interpretation. The presented case study demonstrates the value of TDEM in the exploration workflow.


2017 ◽  
Vol 14 (S339) ◽  
pp. 155-159
Author(s):  
M. Soraisam ◽  
T. Matheson

AbstractThe revolution in time-domain astronomy has arrived. Large-scale surveys are detecting events at an unparallelled rate, and discoveries of new and exotic objects abound. In just a few short years, the Large Synoptic Survey Telescope will begin operations in Chile. At that point, the rate of production of time-domain events will jump by a factor of at least a hundred. The traditional techniques of handling each detection individually will not scale to those current and future productions. The ANTARES project is a joint venture between NOAO and the University of Arizona Computer Science Department to develop a software infrastructure system to process time-domain events automatically at the scale and rate that LSST will generate them.


2017 ◽  
Vol 15 (6) ◽  
pp. 657-667 ◽  
Author(s):  
Matteo Rossi ◽  
Per-Ivar Olsson ◽  
Sara Johanson ◽  
Gianluca Fiandaca ◽  
Daniel Preis Bergdahl ◽  
...  

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