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Abstract

Summary

One of the most difficult tasks that an exploration geologist must undertake is to correctly assess the economic viability of a potential prospect and the risks associated with drilling it. This is made especially challenging because of uncertainties associated with any single final image on which prospect mapping occurs. One of the largest sources of this uncertainty is the earth model building process itself, which remains non-unique. The seismic industry has, therefore, turned to seismic uncertainty analysis (SUA) workflows to analyze and quantify this model uncertainty and its impact on the final images and so help prospect decision making.

We focus on these workflows using a recent case study from the subsalt Gulf of Mexico. Firstly, we show the advantages of including the SUA at more than one stage within the larger model building workflow, rather than solely at the final model analyses point. Secondly, we will also show how spill-point analyses and their gross rock volume estimates can be invaluable tools to aid in risk analyses and decision making to understand the reliability of initial volumetric estimations. Also, we show how likely they are to change through the model building process.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.201901461
2019-06-03
2024-04-25

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References

  1. Letki, L.P., Ben-Hadj-Ali, H. and Desegaulx, P.
    [2013] Quantifying Uncertainty in Final Seismic Depth Image Using Structural Uncertainty Analysis - Case Study Offshore Nigeria. 75th EAGE Conference & Exhibition Incorporating SPE EUROPEC 2013, Extended Abstracts.
     [Google Scholar]
  2. Osypov, K., Yang, Y., Fournier, A., Ivanova, N., Bachrach, R., Yarman, C.E., You, Y., Nichols, D. and Woodward, M.
    [2013] Model-uncertainty quantification in seismic tomography: method and applications. Geophysical Prospecting, 61(6), 1114–1134.
     [Google Scholar]
  3. O'Briain, M., Smith, D., Montoya, C., Burgess, B., Koza, S., Zdraveva, O., Ishak, M., Alwon, S., King, R., Nikolenko, D. and Vautier, S.
    [2013] Improved subsalt imaging and salt interpretation by RTM scenario testing and image partitioning. 83rd Annual International Meeting, SEG, Expanded Abstracts, 3856–3860.
     [Google Scholar]
  4. Vyas, M., Du, X., Mobley, E. and Fletcher, R.
    [2011] Methods for Computing Angle Gathers Using RTM. 73rd EAGE Conference and Exhibition, Extended Abstracts.
     [Google Scholar]
  5. Zdraveva, O., Hydal, S. and Woodward, M
    [2013] Tomography with geological constraints: an alternative solution for resolving of carbonates. 83th Annual International Meeting, SEG, Expanded Abstracts, 4770–4774.
     [Google Scholar]
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Quantifying Prospectivity and Reducing Drilling Risk with Seismic Uncertainty Analyses: A Gulf of Mexico Case History
Conference Proceedings 2019, 1 (2019); https://doi.org/10.3997/2214-4609.201901461
/content/papers/10.3997/2214-4609.201901461
/content/papers/10.3997/2214-4609.201901461
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