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Abstract

Summary

4D seismic is now a standard tool to monitor the wells production effects within the reservoir and to identify operational opportunities to maximize the recovery. The main goal of this paper is to show the added value of 4D seismic monitoring to check and ensure integrity of the overburden 4D signal induced by reservoirs production. The 4D seismic processing of the data is of paramount importance to preserve the actual 4D effects in the overburden and having overburden-dedicated workflows is mandatory to preserve those effects. Considering field geology, interpretation knowledge and performing advanced 4D Quality Controls (QCs) are critical elements that we propose to use in our global QC strategy to drive the efforts in processing. The efficiency of the proposed methodology is illustrated through two case studies in clastic environments where 4D seismic was key to detect signals in the overburden.

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/content/papers/10.3997/2214-4609.2025101204
2025-06-02
2026-02-11
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References

  1. Blanchard, T., Henriquel, M., Granel, J., Cherrett, A., Adeyemi, A. [2021] Is there value in 4D eslastic inversion, 82nd EAGE Conference & Exhibition 2021, Volume 2021, p.1–5.
    [Google Scholar]
  2. Cherrett, A., Escobar, I., and Hansen, H. [2011], Fast deterministic geostatistical inversion, Vienna, 73rd EAGE Conference and Exhibition incorporating SPE EUROPEC, p. 238.
    [Google Scholar]
  3. Fiore, J., Hubans, C., Brechet, E. [2014] 4D Seismic Warping in Two Steps for Overburden and Reservoir. 76th EAGE Conference & Exhibition 2014, Extended Abstract, Tu G102 8.
    [Google Scholar]
  4. Garcia, A. and MacBeth, C. [2013] An estimation method for effective stress changes in a reservoir from 4D seismic data. Geophysical Prospecting, 61, 803–816.
    [Google Scholar]
  5. Herwanger, J.V., Mohamed, F.R. and Newman, R. [2013] Time-Lapse seismic data-calibrated geomechanical model reveals hydraulic fracture re-orientation. 83rd SEG Annual Meeting, Expanded Abstract, 4949–4953.
    [Google Scholar]
  6. Rappin, D., Leroy, Y.M., Fiore, J. [2017], Time-Lapse Seismic Signal in the Overburden of Producing Reservoir – Separating Possible Causes. 79th EAGE Conference & Exhibition 2017, p.1–5.
    [Google Scholar]
  7. Vinal, I. [2015] Time-lapse Seismic Monitoring of Overburden Compaction due to Hydraulic Fracturing in the Montney Shale. 77th EAGE Conference & Exhibition, Expanded Abstract, Th P6 11.
    [Google Scholar]
  8. Williamson, P.R., Cherrett, A.J. and Sexton, P.A. [2007] A new approach to warping for quantitative time-lapse characterization. 69th EAGE Annual Meeting, Expanded Abstract, P064.
    [Google Scholar]
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