September 2000
Special Focus

Comparative reservoir imaging using new seismic acquisition technology

New, three-component, digital accelerometer offers improved response and low noise for imaging reservoirs with shear and compressional waves


Sept. 2000 Vol. 221 No. 9 
Feature Article 

EXPLORATION / EXPLOITATION

Comparative reservoir imaging using new seismic-acquisition technology

A new, three-component, digital accelerometer offers improved frequency response and low noise for imaging reservoirs with shear and compressional waves

Bill Goodway, PanCanadian Petroleum, Calgary; and Jon Tessman, I/O, Houston

Blackfoot field represents a style of stratigraphic trap common in the Western Canadian basin. In many cases, acoustic impedance of the regional formations is similar enough to the reservoir to make its detection using conventional P-wave seismic difficult at best. Observations based on log and core analysis suggested that the application of Vp/Vs techniques could provide a seismic method for identifying channel location and evaluating reservoir quality. These considerations resulted in the Consortium for Research in Elastic Wave Exploration Seismology (CREWES) to acquire a 3-D/3C survey over Blackfoot field in 1995.1,2

In 1999, PanCanadian volunteered the site for the first pre-commercial test of the proprietary VectorSeis sensor – a three-component, solid-state, digital accelerometer. Using proprietary acquisition techniques, a 3-D survey was carried out over a large portion of the legacy CREWES survey. Although acquisition, processing and sensor differences – as well as four years of hydrocarbon production – prevented quantitative analysis of the new accelerometer’s performance, this article evaluates several qualitative aspects.

History

Blackfoot field is located in south central Alberta, about 65 mi east of Calgary. The new 3-D/3C dataset was acquired over an area previously covered by a 3-D/3C survey conducted by the CREWES consortium in 1995, Fig. 1.

Fig 1

Fig. 1. Map view showing the 1995 CREWES survey outline to the north (top of page) and the overlapping 1999 survey to the south. Wells are in green; red line identifies location of extracted 2-D profiles that follow.

The field is a compound-incised, valley-fill system of Lower Cretaceous age. The valley system has three components: Upper Valley, Lithic Valley and Lower Valley. Of these, the Upper and Lower Valleys represent productive zones. The Lithic Valley is considered a permeability barrier between the Upper and Lower Valleys. Drainage of the paleo system is from south to north.

Within the system, fluvial and distributary channel facies provide the best reservoir quality. Both regional stratigraphy and shale plugs associated with channel sequences exhibit a Vp range similar to reservoir-quality rocks. Examination of core measurements and log-crossplot data suggested that it would be possible to discriminate lithology based on Vp/Vs ratio, Fig. 2.

Fig 2

Fig. 2. Comparison of Vp/Vs values for reservoir and non-reservoir rocks, suggesting discrimination is possible using multicomponent seismic data.5 Values were obtained by blocking dipole-sonic logs from the three wells identified.

Data Acquisition

The 1999 3-D/3C survey was acquired over two days in November using PanCanadian’s patented Mega-Bin technique.3 This resulted in 70-fold P-P coverage, with a natural bin size of 40 m by 80 m. Stack data was subsequently interpolated to 40 m by 40 m before migration. Converted-wave data was 30 fold, with a natural bin size of 26.5 m by 53.3 m; when binned at the P-P dimensions, this increased to about 70 fold.

The 1995 CREWES 3-D/3C survey was of conventional orthogonal design that was modified to result in a fractionation bin as per Andreas Cordsen’s patented technique.4 This resulted in 33-fold P-P coverage, with a natural bin size of 30 m by 30 m. The converted wave data was subsequently binned at the same interval, resulting in 36-fold coverage.

Both surveys used the same 4-kg charge size and 18-m source depth.

Data Processing

Both datasets were processed to "best of class" standards for their respective time frames. However, the 1999 dataset benefits from four years of development of Vp/Vs processing. PanCanadian (as well as other CREWES consortium members) is currently considering reprocessing the 1995 survey to reflect the current state of the art in converted-wave imaging.

The 1999 data was left in its native acceleration mode throughout the processing sequence. Comparisons after processing, through to structural stack, indicated a residual-phase difference between velocity and acceleration datasets of only 9°.

To promote 4-D interpretation of the two datasets, the statics solution from the 1995 survey was applied to the 1999 survey. This achieved satisfactory stack quality despite known long-wavelength problems.

Interpretation

A necessary step in validating performance of the new 3C sensor was to replicate the previously published Vp/Vs results from the 1995 CREWES survey.5 However, given the subjective (interpretive) nature of several of the previously interpreted horizons, it was decided that a more simplistic methodology would be employed.

Both datasets were interpreted to create three horizons for each dataset (P-P and P-S). The horizons were chosen for their proximity to the reservoir, as well as their regional continuity. These horizons are:

  • Upper Mannville: coal / shale sequence associated with a peak immediately above the reservoir interval. This represents the upper surface for subsequent Vp/Vs work (Hor. A, Figs. 3 and 4).
  • Top Wabamun: A regional marker associated with the transition from Carboniferous to Devonian-age carbonates. This represents the lower surface for subsequent Vp/Vs work (Hor. B, Figs. 3 and 4).
  • Top Upper Valley: Fluvial sequence associated with the trough immediately below the Upper Mannville horizon. This horizon has a characteristic amplitude response associated with the presence of the Upper Valley channel sequence. This surface was used for amplitude extraction work (Hor. C, Figs. 3 and 4).
Fig 3a
Fig. 3b

Fig. 3. Comparison of P-P data acquired with digital accelerometers in 1999 (a) and conventional geophones in 1995 (b). Spectral-response curves are included for each in the lower right corner and are similar for both datasets. Horizons chosen for subsequent mapping are identified, as is Well 08-08.


Fig 4a
Fig. 4b

Fig. 4. Comparison of P-S data acquired with digital accelerometers in 1999 (a) and conventional geophones in 1995 (b). Spectral-response curves are included for each in the lower right corner. Note the increased low-frequency content of the digitally acquired data. Horizons chosen for subsequent mapping are identified, as is Well 08-08.

These horizons resulted in two maps for both the 1999 and 1995 datasets: 1) Top Upper Valley amplitude extractions for P-P and P-S?datasets; and 2) Upper Mannville to Top Wabamun isochrons for P-P and P-S datasets.

The amplitude extractions were compared to evaluate their similarity, while the isochron datasets were used to calculate Vp/Vs using the methodology prescribed by Margrave, et al.5

 

 What's a digital MEMS?

The new 3C digital seismic sensor measures acceleration rather than traditional velocity. It is classed as a Micro-machined Electro-Mechnical System, or MEMS. The MEMS design provides low intrinsic noise and ultra-low distortion. Absence of analog signal paths makes the output signal much less susceptible to induced noise pickup. The sensor provides a flat response to very low frequencies (<1 Hz) with linear phase response.

To form a 3C-sensor arrangement, three MEMS devices are mounted orthogonally in a housing, with each sensor closely matched in the manufacturing process through calibration. Digital force-balancing techniques allow the sensor to be operated at any angle, and even to measure this angle relative to gravity.

 

Discussion

Four years of hydrocarbon production, as well as different acquisition and processing methodologies, will undoubtedly prevent quantitative conclusions as to performance of the new 3C accelerometer. However, the results do offer qualitative insight as to the performance of the sensor.

Amplitudes. Both datasets result in credible amplitude extractions from the Top Upper Valley horizon. The P-P datasets show the amplitude-response characteristic of an Upper Valley channel system. These results correspond closely with historical drilling results. The new-sensor amplitudes create a narrower, more compact anomaly consistent with the depositional environment, while the 1995 results appear more diffuse. The P-S amplitude results are similar in that neither dataset produces an amplitude response associated with the channel lithology, Fig. 5.

Fig 5

Fig. 5. Amplitude data acquired with digital accelerometers (left) from "Hor. C" compared to equivalent 1995 3C geophone data (right). Red line indicates the location of the extracted 2-D profiles.

Isochrons. P-P isochron data is able to provide only limited resolution of channel location. This is primarily associated with differential compaction observed over the thickest sand sequences. While this correlates with several wells, it is not necessarily indicative of channel location or reservoir quality.

P-S isochron data provide a very different view of the channel system. Both datasets show a systematic thinning of 6 – 10 ms over the channel system. This is interpreted as the shear-wave response to the presence of reservoir quality rocks. While both datasets exhibit similar results, those from the new dataset appear more continuous and less diffuse. The P-S isochron data correlate closely to the channel location as mapped from the well data, but offer little insight as to reservoir quality.

Vp/Vs. Vp/Vs data calculated from both datasets produce results that correspond closely to those predicted from log data. Sands associated with the channel system are cleanly separated from regional shale formations. The best sand intervals identified from logs correspond to mapped Vp/Vs values of 1.65 to 1.80, while the regional shales correspond to mapped Vp/Vs values greater than 1.90. As was the case with the other datasets, the new data appears more continuous than the 1995 results, Fig. 6.

Fig 6

Fig. 6. Accelerometer-acquired Vp/Vs data (left) compared to equivalent 1995 3C geophone data (right). Red line indicates the location of the extracted 2-D profiles.

The Vp/Vs data, as mapped over this gross stratigraphic column, provide definitive indications of both channel location and reservoir quality. Similarity between the Vp/Vs maps and net-sand maps from log data are conclusive, Fig. 7.

Fig 7

Fig. 7. Accelerometer-acquired Vp/Vs data (left) compared to contour map of net sand derived from log data (right). Note that two, thick zones mapped from log data appear visible in the Vp/Vs data. Also, pronounced thinning between upper and lower sand lobes also appears on the Vp/Vs map. Vp/Vs values calculated are as predicted from the logs in Fig. 2 (1.6 – 1.8 for reservoir, >1.9 for shales).

Conclusions

Seismic data acquired using the new digital accelerometer with the Mega-Bin technique is comparable to that obtained from conventional coil geophones in the 1995 CREWES survey. Further:

  • On a purely qualitative basis, the maps produced from the new dataset were more consistent with the known morphology of these compound-incised valleys.
  • Vp/Vs results from both datasets matched log-based measurements and provide accurate indications as to channel location and reservoir quality.
  • The P-S isochron accurately identified the channel fairway.
  • The P-P isochron was complicated by other phenomena and was of limited use in this application.
  • The P-P and P-S’amplitude extractions performed as expected, but were not considered sufficient by themselves. Historically, many dry holes have been drilled on P-P amplitude anomalies not related to reservoirs.

In general, processing of the compressional- and converted-wave datasets showed the digital accelerometer data to be comparable to the legacy geophone data. Further amplitude and Vp/Vs analyses confirmed these conclusions, as well as the viability of Vp/Vs techniques as tools for identification and evaluation of compound-incised, valley-fill systems in western Canada. WO

Acknowledgment

The authors thank PanCanadian Petroleum Ltd., and especially Dave Cooper, for their support in the testing of VectorSeis. Also, they thank the management of Input/Output, Inc. and, finally, those field personnel from both I/O and Veritas DGC Land, without whom the field test would not have been possible.

Literature Cited

  1. Dufour, J., et al., "Integrated geological and geophysical interpretation of the Blackfoot area, southern Alberta," Annual Meeting Abstracts, Society Of Exploration Geophysicists, September 1998, pp. 598 – 601.
  2. Stewart, R. R., et al., "Analyzing 3C-3D VSP data: The Blackfoot, Alberta, survey," Annual Meeting Abstracts, Society Of Exploration Geophysicists, September 1998, pp. 381 – 384.
  3. Goodway, W. N., and B. R. Ragan, "Three-dimensional seismic acquisition," U.S. Pat. 5,787,051 (July 28, 1998).
  4. Cordsen, A., "Three-dimensional seismic data acquisition using a repeating offset arrangement of source and receiver lines," U.S. Pat. 5,487,052 (Jan. 23, 1996).
  5. Margrave, G. F., D. C. Lawton and R. R. Stewart, "Interpreting channel sands with 3C-3D seismic data," The Leading Edge, April 1998, pp. 509 – 513.
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The authors

Bill Goodway earned a BSc (Hons) in geology at the University of London in 1977. He worked for a variety of geophysical companies in the UK and Canada before joining PanCanadian Petroleum in 1985 in the Exploration Geophysics section. He is currently a geophysical advisor involved in all aspects of applied seismic exploration – -from acquisition design and processing, to special experimental projects and new interpretation methods. Goodway received the CSEG’s annual "Best Paper Award" both in 1994 and 1997, the CSEG convention "Best General Paper" award in 1996 and "Best Technical Paper" award in 1997. He is a member of the CSEG, SEG, EAGE, APEGGA and the SEG Research Committee.

Jon Tessman earned a BSc in earth science from the University of Waterloo, Waterloo, Canada. Since graduating in 1980, he has worked for Mobil Oil, Geco-Prakla, Western Geophysical, Norcen and Enron Oil & Gas. He joined Input / Output in 1999 where he has been involved in testing and commercialization of the VectorSeis 3C sensor. Other interests include multi-component seismic-acquisition design, processing, and interpretation (land, borehole and OBS), as well as inversion for petrophysical properties. He is a member of the SEG, EAEG, GSH and APPEGA.

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