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Integration of Well Data Into the Seismic Processing Graph for Fluid Contrast Detection in Avo Attributes

https://doi.org/10.18599/grs.2026.3.10

Abstract

At a field in the north of West Siberia, an exploration well located on the basis of a geological model that relied on a bright-spot AVO anomaly encountered a watersaturated reservoir instead of the predicted gas saturation, as confirmed by formation testing with fluid sampling. The wrong prediction was caused by the mixing of gas- and watersaturated reservoirs in the AVO indicator domain (intercept– gradient) in the 2022 processing results, whereas synthetic seismogram modelling indicated a confident separation of saturation types: the gas reservoir corresponds to AVO class 4, and the water-saturated reservoir to class 3. To resolve this contradiction, four multi-vintage seismic surveys (vibroseis and dynamite sources) were reprocessed using the results of five wells and continuous interpretation-driven quality control. After each significant processing step, a seismic-to-well tie, an assessment of the AVO distribution at well locations, and a signal-to-noise estimate were performed, with the results integrated on a radar chart of control parameters. All controlled parameters improved: the dominant frequency increased from 30 to 38 Hz, the spectral bandwidth – from 45 to 52 Hz, the signal-to-noise ratio – from 12 to 13, the seismic-tosynthetic correlation coefficient – from 0.59 to 0.73, and the AVO correlation coefficient – from 0.7 to 0.8. As a result, the model-predicted separation of gas- and water-saturated reservoirs in AVO attributes was reproduced on the real data, and the key processing procedures ensuring conditioned results were identified.

About the Authors

I. V. Musatov
NOVATEK NTC LLC
Russian Federation

Ilya V. Musatov – Senior Expert

Tyumen



A. A. Matigorov
NOVATEK NTC LLC
Russian Federation

Alexandr A. Matigorov – Head of Seismic Data Processing Division

Tyumen



I. M. Khamitullin
NOVATEK NTC LLC
Russian Federation

Ilmar M. Khamitullin – Head of Seismic Interpretation Department

Tyumen



S. R. Olshchevsky
NOVATEK NTC LLC
Russian Federation

Sergey R. Olshevsky – Head of Dynamic Interpretation Division

Tyumen



M. Yu. Shapovalov
NOVATEK NTC LLC
Russian Federation

Mikhail Yu. Shapovalov – Cand Sci. (Geology and Mineralogy), Senior Expert

Tyumen



References

1. Ampilov Yu.P. (2008). From seismic interpretation to modelling and assessment of oil and gas fields. Moscow: Spektr Publ., 384 p. (In Russ.)

2. Castagna J.P., Swan H.W. (1997). Principles of AVO crossplotting. The Leading Edge, 16(4), pp. 337–344. https://doi.org/10.1190/1.1437626

3. Castagna J.P., Swan H.W., Foster D.J. (1998). Framework for AVO gradient and intercept interpretation. Geophysics, 63(3), pp. 948–956. https://doi.org/10.1190/1.1444406

4. Dolgikh Yu.N., Gulyaev D.V., Sokolovsky V.V., Kuznetsov V.I. (2024). Processing Vibrograms as a Way to Improve the Quality of High-Performance Vibroseismic Survey Results. Georesursy = Georesources, 26(3), pp. 27–32. (In Russ.) https://doi.org/10.18599/grs.2024.3.4

5. Ostrander W.J. (1984). Plane-wave reflection coefficients for gas sands at nonnormal angles of incidence. Geophysics, 49(10), pp. 1637–1648. https://doi.org/10.1190/1.1441571

6. Ptetsov S.N. (1989). Analysis of wave fields for geological section prediction. Moscow: Nedra Publ., 135 p. (In Russ.)

7. Rutherford S.R., Williams R.H. (1989). Amplitude-versus-offset variations in gas sands. Geophysics, 54(6), pp. 680–688. https://doi.org/10.1190/1.1442696

8. Shapovalov M.Yu., Khamitullin I.M., Shakirov R.R., Filippova K.E., Bregida A.A. (2023). Reservoir characterization in coastal-continental environment of the Jurassic complex based on seismic data inversion. Georesursy = Georesources, 25(3), pp. 49–56. (In Russ.) https://doi.org/10.18599/grs.2023.3.7

9. Shuey R.T. (1985). A simplification of the Zoeppritz equations. Geophysics, 50(4), pp. 609–614. https://doi.org/10.1190/1.1441936

10. Voskresensky Yu.N. (2001). Study of seismic reflection amplitude variations for hydrocarbon exploration. Moscow: Gubkin Russian State Univ. of Oil and Gas, 68 p. (In Russ.)


Review

For citations:


Musatov I.V., Matigorov A.A., Khamitullin I.M., Olshchevsky S.R., Shapovalov M.Yu. Integration of Well Data Into the Seismic Processing Graph for Fluid Contrast Detection in Avo Attributes. Georesursy = Georesources. 2026;28(3):54-59. (In Russ.) https://doi.org/10.18599/grs.2026.3.10

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ISSN 1608-5043 (Print)
ISSN 1608-5078 (Online)