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Sökning: WFRF:(Brown G) > (1977-1979) > Weighted vertical s...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003451naa a2200349 4500
001oai:DiVA.org:ltu-10428
003SwePub
008160929s1977 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-104282 URI
024a https://doi.org/10.1111/j.1365-2478.1977.tb01166.x2 DOI
040 a (SwePub)ltu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Brown, R.J.u Luleå tekniska universitet,NTNF/NORSAR, Kjeller, Norway4 aut
2451 0a Weighted vertical stacking in crustal seismic reflection studies on the Canadian shield
264 1b Wiley,c 1977
338 a print2 rdacarrier
500 a Godkänd; 1977; 20120105 (andbra)
520 a Seismic reflection methods are being developed at the University of Manitoba to aid in determining fine crustal structures in the Precambrian of Manitoba and northwestern Ontario. Present-day environmental concern as well as mineshaft conditions necessitate the detonation of several smaller charges repeated, say, I times and followed by ''vertical'' stacking. To obtain the familiar ..sqrt..I improvement in signal-to-noise (S : N) amplitude ratio applying the straight-sum (SS) method, one assumes, among other things, that both S : N ratio and signal variance are the same on all traces. Dropping these assumptions, as we must for our data, it becomes necessary to apply weighting coefficients to optimize the S : N ratio of the stacked trace. We still assume the signal shapes to be the same for repeated shots, so for the jth trace on the record of the ith shot we model the time series as: t/sub ij/ = a/sub i/(s/sub j/ + n/sub ij/); where a/sub i/ is a scaling factor. The proper weights w/sub i/ are then shown to be proportional to sigma/sub si//sigma/sup 2//sub ni/ where sigma/sup 2/ is variance, or to ..gamma../sub i//a/sub i/ where ..gamma../sub i/ is S : N power ratio. Applying the weighted-stack (WS) method gives S : N amplitude ratios which are, on average, 55% of the optimal ratios expected from WS theory compared with only 24% for the SS method. The 45% shortfall in WS performance is ascribed mainly to trace-alignment (or time-delay) errors. Varying noise levels on individual traces, slight dissimilarity of signal shape, and correlated noise may also contribute to a lesser extent (in decreasing order of significance). This WS method appears to strike a good practical balance between S : N improvement and processing efficiency.
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskapx Geokemi0 (SwePub)105062 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Geochemistry0 (SwePub)105062 hsv//eng
653 a Applied Geology
653 a Tillämpad geologi
700a Friesen, G.H.u Gulf Oil Canada Limited, University of Manitoba, Calgary, Alberta, Canada4 aut
700a Hall, D.H.u Department of Earth Sciences, University of Manitoba, Manitoba, Canada4 aut
700a Stephenson, O.G.u Department of Earth Sciences, University of Manitoba, Manitoba, Canada4 aut
710a Luleå tekniska universitetb NTNF/NORSAR, Kjeller, Norway4 org
773t Geophysical Prospectingd : Wileyg 25:2, s. 251-268q 25:2<251-268x 0016-8025x 1365-2478
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-10428
8564 8u https://doi.org/10.1111/j.1365-2478.1977.tb01166.x

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Brown, R.J.
Friesen, G.H.
Hall, D.H.
Stephenson, O.G.
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