1989
DOI: 10.1190/1.1442745
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Seismic resolution and field design: Success and failure at Taber, Alberta, Canada

Abstract: Geophysical mapping is presented that suggests a genetic relationship may exist between a band of Glauconitic sandstones and the edge of a large Mississippian structure. A seismic line of late 1970s vintage, covering a thick Glauconitic sandstone reservoir, was reshot with a broader band vibrator sweep, reduced geophone offsets, and shorter arrays. These changes significantly improved the seismic visibility of the sandstone reservoir. However, they also significantly enhanced the vulnerability of the signal to… Show more

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Cited by 4 publications
(3 citation statements)
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“…For at least thirty years we have consciously tried to improve the resolution of seismic data (Denham, 1981;Knapp and Steeples, 1986;Taylor, 1989;Knapp, 1990;Levin, 1998;Blache-Fraser and Neep, 2004) -and it appears to be worse than it was before we were born. What has gone wrong?…”
Section: Discussionmentioning
confidence: 99%
“…For at least thirty years we have consciously tried to improve the resolution of seismic data (Denham, 1981;Knapp and Steeples, 1986;Taylor, 1989;Knapp, 1990;Levin, 1998;Blache-Fraser and Neep, 2004) -and it appears to be worse than it was before we were born. What has gone wrong?…”
Section: Discussionmentioning
confidence: 99%
“…For at least thirty years we have consciously tried to improve the resolution of seismic data (Denham (1981), Knapp and Steeples (1986), Taylor (1989), Knapp (1990), Levin (1998),Blache-Fraser and Neep (2004)) --and it appears to be worse than it was before we were born. What has gone wrong?…”
Section: Discussionmentioning
confidence: 99%
“…At present, survey design [or in one case, designing irregular model parameterization grids, Vesnaver (1996)] is often guided by forward modeling experiments that calculate resolution or error propagation for some set of source-receiver array geometries and Earth structures (e.g., Macnae, 1984;Taylor, 1989;Sasaki, 1992), by maximizing the determinant ofL (the D-criterion, e.g., Rabinowitz and Steinberg, 1990;Steinberg et al, 1995) or by "rules of thumb" gained from past experience (e.g., Rosencrans, 1992). Of these, the D-criterion is most similar to our method since it could be automated using a genetic algorithm, and indeed could be used to invert for an optimally conditioned model parameterization as done in the current work, rather than for survey design.…”
Section: Discussionmentioning
confidence: 99%