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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
Morrow
Channel
Sandstones, Second Wind and Jace Fields,
Cheyenne and Kiowa Counties, ColoradoBy
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.
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