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3-D
Seismic in the Glennpool Area, Northeastern Oklahoma*
By
Christopher L. Liner1
Search and Discovery Article # 40040 (2002)
*Adapted for online presentation from a presentation to the Tulsa Geological Society, January 8, 2002
1Department
of Geosciences, University of Tulsa, Tulsa, OK ([email protected]).
Acknowledgment is made to D. Kerr and M. Kelkar, DOE project managers for
geology engineering, respectively, for well data, especially those from Self
#82, and to Producers Oil, Opseis, and Mercury International Technology in
relation to the
3-D
seismic data.
In 1996 a small
3-D
seismic survey was acquired on the
west edge of the Glenn Pool oil field, near Tulsa, Oklahoma, to map a producing
120-acre Ordovician Wilcox structure. The goal was to establish a template for
the detection of such structures elsewhere. Among other results, the project
revealed the added value of
3-D
imaging even in areas of dense well control and
the misalignment of time and depth structures.
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uMaps, seismic tracking, & depth conversion
uMaps, seismic tracking, & depth conversion
uMaps, seismic tracking, & depth conversion
uMaps, seismic tracking, & depth conversion
uMaps, seismic tracking, & depth conversion
uMaps, seismic tracking, & depth conversion
uMaps, seismic tracking, & depth conversion
|
The objectives of the project are: · Leverage DOE project well information. · Provide an analog for Ordovician Wilcox exploration. · Get a view of the Pennsylvanian Glenn interval adjacent to Glenn Pool oil field. ·
Test small-scale There are a total of 17 wells in Sections 19/24, N17N, R12E (Figure 1). Production was discovered in June, 1985, in the Wilcox Sandstone (Ordovician Simpson Group) at a depth of approximately 2500 ft. Thickness is as much as 34 ft, and porosity is up to 18%. Cumulative production through 1996 was 950,000 barrels of oil. The productive feature is a nose, covering approximately 120 acres, on the southwest flank of Glenn Pool oil field. Self
unit #82, in Section 21, T17N, R12E, is located approximately 2miles from
the area of the
– Sonic+Density => velocity X density = Impedance – Sonic => velocity => time/depth => event ID
Using the sonic and density logs from the Self #82, an acoustic impedance log was prepared (Figure 2). The sonic log can be ignored if the sonic values are predictable from the more common density log. In the case of the Ordovician Wilcox Sandstone (Figure 3), the relation of sonic to density values suggests that density values of themselves may be satisfactory. On the other hand, plots of the sonic vs. density values for the Pennsylvanian Glenn Sandstone (Figure 4) and for the entire stratigraphic interval (Figure 5) are such that the sonic values cannot be ignored in calculating acoustic impedance for synthetic seismograms. Figure 6 shows the velocity (from sonic values) in Self #82, from 300 ft to total depth, along with formation tops, plotted according to time so that the depth ticks are non-linear. Features
of – Vibroseis, with bin size of 55 x 55 ft – 141 E-W lines x 145 N-S lines – 1420 acres, 2.2 square miles – 1 sec, 2 ms – Frequency band--15-120 Hz
Based on the calculation in equation (1), the 55-ft bin size is a little too large because fault imaging is degraded and dips greater than 34o are also degraded.
Bin <Vint / (4 fmax) = 15000 / (4 X 120) = 31 ft (1)
The vertical resolution is shown by equation (2) to be 62 ft. Correspondingly, the Wilcox, with thickness of 34 ft or less, is a “thin bed.” Lateral resolution, given in equation (3), is 155 ft, or approximately 2 bins. Structural resolution is 11 ft, as derived in equation (4) and illustrated in Figure 7.
VR = Vint / (4fdom) = 15000 / (4 X 60) = 62 ft (2) LR = 2 X VR = 144 ft (~ 2 bins) (3) DZ = (VavgdT)/2 = 1000 X .002 / 2 = 11 ft (4)
Data footprint is shown by the images of the survey area in Figure 8, with outline of live traces (Figure 8A) and outline of the area with well spots (Figure 8B). Data cube is illustrated in Figure 9, with a time (or horizontal) slice and two vertical slices. The data in the study area are noisy, reflecting a rough terrain and near-surface issues, but there is good frequency. The challenge is how to improve the data. Improved quality of the data is illustrated in Figure 10, with the original time-slice map and the resulting enhanced map after smoothing, and in Figure 11, which shows a vertical profile, also with enhancement by smoothing.
Maps, Seismic Tracking, and Depth Conversion With
the data described above, a well-depth structure map was made of
Ordovician Wilcox sandstone (Figures 12,
13, 14, and
16) and comparable
time-slice maps were prepared from seismic data (Figures
14, 15, and
16).
Tracking geologic events seismically, specifically the Wilcox, was
achieved by utilizing the time-plot of the sonic log and overlaying it on
seismic data (Figures 17,
18, and 19). Because of a strong lateral
velocity gradient (Figure 20), the maps from well data and from seismic
data show significant differences (Figures 14 and
16). When both types of
data are used, the result is an enhanced structure map of the Wilcox
(Figures 21 and 22) and a
The
following are conclusions from this · Data improvement through smoothing by time slice (or FXY deconvolution). · Time structure is not depth structure, reflecting a strong lateral velocity gradient. ·
Postage-stamp sized
Liner,
C.L., 1999, Elements of |
