About This Item
- Full text of this item is not available.
- Abstract PDFAbstract PDF(no subscription required)
Share This Item
The AAPG/Datapages Combined Publications Database
Houston Geological Society Bulletin
Abstract
Abstract: Application of 3-D Seismic on Morrow Channel
Sandstones, Second Wind and Jace Fields,
Cheyenne and Kiowa Counties, Colorado
By
Union Pacific Resources, Fort Worth, Texas
Two 3-D seismic surveys have been shot by Union Pacific Resources (UPRC) to extend fields producing from Pennsylvanian Morrow channel sands. The target fields were Jace and Second Wind, both located near the Colorado-Kansas border in a Morrow channels consisting of fluvial valley-fill sandstone and shales which have incised into the underlying lower Morrow carbonates. This shale-sand and carbonate interface provides sufficient acoustic contrast to make the incisions interpretable on 2-D seismic data. The sinuous nature of the valleys, the erratic Morrow structure and the distribution of the 2-D data are interpretive challenges that are significantly reduced by the 3-D seismic data.
The Jace and Second Wind surveys
had full-fold coverage of 5 square miles
and 2.8 square miles, respectively. The
surveys had similar acquisition parameters
resulting in 20-fold subsurface
data using 75 by 75-foot
bin
size. At Jace,
the 3-D survey indicated an absence of
channel where 2-D data had shown potential
valley incision, thus saving UPRC from drilling several dry holes.
At Second Wind, the 3-D interpretation
clearly defined the limits and geometry
of the valley and uncovered a complex
series of fault blocks cutting the valley.
The subsequent drilling encountered a
thick channel sandstone at the predicted
structural elevation.
In the Morrow Stateline trend, 3-D seismic data has proven its ability to provide a more accurate "picture" of the Morrow valley geometry, therefore, reducing the risk of near-miss non-sand valley wells. Many of the Morrow structural complications, particularly the tracking of faults and their influence on the valley system, are more clearly understood on a 3-D data set.
End_of_Record - Last_Page 12---------------
