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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Advances in nonlinear geoscientific experimental a
 nd survey design - Curtis\, A (University of Edinb
 urgh)
DTSTART;TZID=Europe/London:20110722T090000
DTEND;TZID=Europe/London:20110722T100000
UID:TALK32125AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/32125
DESCRIPTION:Geoscience is replete with inverse problems that m
 ust be solved  routinely. Many such problems such 
 as using satellite remote-sensing data to estimate
  properties of the Earth's surface\, or solving Ge
 ophysical imaging and monitoring problems for pote
 ntially dynamic  properties of the Earth's subsurf
 ace\, involve large datasets that cost  millions o
 f dollars to collect. Optimising the information c
 ontent of such data is therefore crucial. While li
 nearised experimental design methods have been dep
 loyed within the Geosciences\, most Geophysical pr
 oblems are significantly nonlinear. This renders l
 inearised design criteria invalid as they can sign
 ificantly over- or under-estimate the information 
 content of any  dataset. Over the past few years w
 e have therefore focussed on  developing new nonli
 near design methods that can be applied to practic
 al  data types and geometries for surveys of incre
 asing size. We will summarise three advances in pr
 actical nonlinear design\, one using  a new design
  criterion applied in the data space\, one using a
  new 'bi-focal' model space criterion\, and one us
 ing a fast Monte Carlo  refinement procedure that 
 significantly speeds up nonlinear design calculati
 ons. Applications of the first two techniques are 
 to design subsurface (micro-)seismic energy-source
  location problems\, application  of the third is 
 to design so-called industrial seismic  amplitude-
 versus-offset data sets to derive (an)elastic prop
 erties of  subsurface geological strata. Using the
  first of these we managed to design an industrial
 ly practical Geophysical survey design using fully
  non-linearised methods.\n
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:Mustapha Amrani
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