Difference between revisions of "James Schuelke"

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| surname = Schuelke
 
| surname = Schuelke
 
| image = [[File:James_S._Schuelke_headshot.png|180px]]
 
| image = [[File:James_S._Schuelke_headshot.png|180px]]
| BSc =  
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| BSc = Geology
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| PhD =Geophysics
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| BSc university = University of Wisconsin-Platteville
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| PhD university = University of Houston
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| Company = ExxonMobil Upstream Research Company
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| Membership = SEG, AAPG, DGS, and GSH
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== Biography 2001 ==
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'''James S. Schuelke''' received a BS (1972) in geology from the University of Wisconsin-Platteville and attended postgraduate studies in geophysics at the University of Houston. He started his career with Geophysical Service, Inc. and has worked for Superior Oil and Mobil Oil.<ref>Contributors, ''GEOPHYSICS'' 66(1):366. </ref>  He is presently a senior research associate with ExxonMobil's Upstream Research Company in Houston, Texas, which develops new geophysical analysis and interpretation technologies.
  
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Recent work has been in the development of techniques for the prediction of rock and fluid properties using seismic attribute data and neural networks. His research interests include seismic attributes, neural networks, production geophysics, and time-lapse geophysic. He is a member of SEG, AAPG, DGS, and GSH.
  
== Biography 2001<ref>Contributors, ''GEOPHYSICS'' 66(1):366. </ref> ==
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== Honorable Mention (Geophysics) 2001 ==
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[[Daniel P. Hampson]], [[James S. Schuelke]], and [[John A. Quirein]] received 2001 [[Honorable Mention (Geophysics)]] for their paper ''Use of multiattribute transforms to predict log properties from seismic data.''<ref>Hampson, D. P., J. S. Schuelke, and J. A. Quirein (2001)[http://www.crossref.org/iPage?doi=10.1190%2F1.1444899 ''Use of multiattribute transforms to predict log properties from seismic data,''] ''GEOPHYSICS'' 66(1):220.</ref>
  
'''James S. Schuelke''' received a BS (1972) in geology from the University of Wisconsin-Platteville
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== References ==
and attended postgraduate studies in geophysics at the University of Houston. He started his
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{{reflist}}
career with Geophysical Service, Inc. and has worked for Superior Oil and Mobil Oil. He is
 
presently a senior research associate with ExxonMobil's Upstream Research Company in Houston,
 
Texas, which develops new geophysical analysis and interpretation technologies.
 
Recent work has been in the development of techniques for the prediction of rock and
 
fluid properties using seismic attribute data and neural networks. His research interests include
 
seismic attributes, neural networks, production geophysics, and time-lapse geophysic.
 
He is a member of SEG, AAPG, DGS, and GSH.
 
  
== [[Honorable Mention (Geophysics)]] 2001 ==
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== External links ==
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{{search}}
  
[[Daniel P. Hampson]], [[James S. Schuelke]], and [[John A. Quirein]] received 2001 [[Honorable Mention (Geophysics)]]
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[[Category: Denver Geophysical Society]]
for their paper ''Use of multiattribute transforms to predict log properties from seismic data.''<ref>Hampson, D. P., J. S. Schuelke, and Quirein, J. A. (2001)[http://www.crossref.org/iPage?doi=10.1190%2F1.1444899 ''Use of multiattribute transforms to predict log properties from seismic data,''] ''GEOPHYSICS'' 66(1):220.</ref>
 
 
 
== References ==
 
<references />
 

Latest revision as of 14:18, 5 February 2017

James Schuelke
James S. Schuelke headshot.png
Latest company ExxonMobil Upstream Research Company
Membership SEG, AAPG, DGS, and GSH
BSc Geology
PhD Geophysics
BSc university University of Wisconsin-Platteville
PhD university University of Houston

Biography 2001

James S. Schuelke received a BS (1972) in geology from the University of Wisconsin-Platteville and attended postgraduate studies in geophysics at the University of Houston. He started his career with Geophysical Service, Inc. and has worked for Superior Oil and Mobil Oil.[1] He is presently a senior research associate with ExxonMobil's Upstream Research Company in Houston, Texas, which develops new geophysical analysis and interpretation technologies.

Recent work has been in the development of techniques for the prediction of rock and fluid properties using seismic attribute data and neural networks. His research interests include seismic attributes, neural networks, production geophysics, and time-lapse geophysic. He is a member of SEG, AAPG, DGS, and GSH.

Honorable Mention (Geophysics) 2001

Daniel P. Hampson, James S. Schuelke, and John A. Quirein received 2001 Honorable Mention (Geophysics) for their paper Use of multiattribute transforms to predict log properties from seismic data.[2]

References

  1. Contributors, GEOPHYSICS 66(1):366.
  2. Hampson, D. P., J. S. Schuelke, and J. A. Quirein (2001)Use of multiattribute transforms to predict log properties from seismic data, GEOPHYSICS 66(1):220.

External links

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