1887
Volume 43, Issue 12
  • ISSN: 0263-5046
  • E-ISSN: 1365-2397

Abstract

Abstract

The Breidablikk field, located in the North Sea, was initially considered as having insufficient resources for a viable economic development strategy. The field’s complex reservoir geometry presented significant challenges in subsurface characterisation. This paper illustrates how continuous improvement in data quality enabled a comprehensive understanding of the subsurface, leading to an effective development strategy. We implemented a structured approach in three distinct stages, contributing to enhanced seismic data quality.

In the first stage, we established an interpretation strategy for the Heimdal reservoir and injectite sands using regional well data and insights from surrounding fields. The focus was on analysing variations in acoustic rock properties within the sand injectites, which influence changes in seismic responses. Then the second stage consisted of maximising the value of all available geophysical information; to do so, multi-client seismic data was reprocessed and further preconditioned for quantitative interpretation. Finally, in the third stage, a dense 3D Ocean Bottom Node (OBN) survey was acquired in 2020; all available processing technologies like Time-Lag FWI and Up-Down Deconvolution were used for structural imaging.

The three-step approach enhanced confidence in the seismic interpretation of the reservoir and resulted in refined drilling targets.

Loading

Article metrics loading...

/content/journals/10.3997/1365-2397.fb2025090
2025-12-01
2025-12-14
Loading full text...

Full text loading...

References

  1. Akalin, A., Berraki, M. and Worthington, W. [2024]. Breidablikk Field: Reducing Reservoir Uncertainties During Field Development by Improving Seismic Data Quality. 85th EAGE Annual Conference & Exhibition, Extended Abstracts.
    [Google Scholar]
  2. Briedis, N.A., Bergslien, D., Hjellbakk, A., Hill, R. E. and MoirG.J. [2007]. Recognition Criteria, Significance to Field Performance, and Reservoir Modelling of Sand Injections in the Balder Field, North Sea. In: Hurst, A. & Cartwright, J. (eds): Sand injectites: Implications for hydrocarbon exploration and production. AAPG Memoir, 87, 91–102
    [Google Scholar]
  3. C&C Reservoir. [2011]. Field evaluation report “Grane Field Northen North Sea, Norway”, p 16.
    [Google Scholar]
  4. Chopra, S. and Castagna, J.P. [2014]. AVO. SEG publication, 204 p.
    [Google Scholar]
  5. Seydoux, J., Legendre, E., Mirto, E., Dupuis, C., Denichou, J.-M., Bennett, N., Kutiev, G., Kuchenbecker, M., Morris, C. and Yang, L. [2014]. Full 3D Deep Directional Resistivity Measurements Optimize Well Placement and Provide Reservoir-Scale Imaging While Drilling. SPWLA 55th Annual Logging Symposium, Paper LLLL, Transactions.
    [Google Scholar]
  6. Wang, Y., Bale, R., Grio, S. and Holden, J. [2010]. The ups and downs of ocean-bottom seismic processing: Applications of wavefield separation and up-down convolution. The Leading Edge, 29(10), 1258–1265.
    [Google Scholar]
  7. Wild, J. and Briedis, N.A. [2010]. Structural and stratigraphic relationships of the Palaeocene mounds of the Utsira High. Basin Research, 22(4), 533–547.
    [Google Scholar]
  8. Zhu, H., Kumar, R., Vandrasi, V., Dobesh, D. and Vazquez, A. [2019]. Velocity model building with time-lag FWI: a Perdido area case study, Second EAGE Workshop on Deepwater Exploration in Mexico, Abstract.
    [Google Scholar]
  9. Yilmaz, Ö. [2001]. Seismic data analysis. SEG publication, 2065 p.
    [Google Scholar]
/content/journals/10.3997/1365-2397.fb2025090
Loading
/content/journals/10.3997/1365-2397.fb2025090
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): field development; Sand injectites; seismic data quality

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error