by Gretchen Gillis
Thu, Nov 9, 2006 01:29 GMT
PERTH, Australia ?Making good reservoir predictions is a crucial endeavor for petroleum geologists, as evidenced by numerous presentations given here at the AAPG International Conference and Exhibition.
Geological interpretations of outcrops, wells, or other data types depend heavily on the skill of the interpreter, and typically are strengthened by the interpreter抯 experience. The oil and gas industry is hiring new geological interpreters at breakneck speed, and often these interpreters collaborate on large projects, so consistency of interpretive approach is desirable.
Whether geologists are trying to describe reservoirs, obtain correct pay estimates, or perform accurate petrophysical evaluations, some level of automation of technique can facilitate coherent collaboration by interpreters.
New techniques described in a poster presentation by Steven Hansen and Bill Newberry of Schlumberger highlighted two new techniques. The first, known as STRATA, uses high-resolution resistivity distributions from image logs to assess the thickness of sedimentary beds and the degree of bioturbation—the mixing and moving of sediment by organisms. The second technique, SandTex, helps assess depositional environments by quantifying the degree of sediment sorting in image-log resistivity distributions. These results are readily validated through comparison with core measurements.
"For image-log interpreters who haven't had the opportunity to see many core and outcrop examples, these new techniques minimize interpretation bias, especially when you have more than one person working on a project," Hansen said.
Hansen SM and Newberry BM: "Using Electrical Borehole Images for Bedding and Textural Analysis in Deepwater Clastic Deposits," Abstracts Volume 16, AAPG International Conference and Exhibition, Perth (November 5-8, 2006): 48.
The AAPG Web site: www.aapg.org.
© 2006 Schlumberger Limited.
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