1887
  1. Home
  2. Conferences
  3. Conference Proceedings
  4. Petroleum Geostatistics 2019
  5. Conference paper

Abstract

Summary

The structurally lowest point in a hydrocarbon trap that can retain hydrocarbons is called a Spill Point and characterizing these locations over a depth horizon is a common approach in trap analysis. However, a horizon is an uncertain object typically produced through a time to depth conversion procedure which might involve several different variables like time, velocity, and fault position. Each of those variables brings its own uncertainty. By using geostatistical simulations, we produce different realizations of the depth horizons and further process them individually to determine the probability of presence of reservoirs and spill points associated to highly probable reservoirs. This paper presents a methodology to achieve such results including our analysis algorithm for trap and spill point characterization. By using a case-study we demonstrate that only proper characterization of all relevant realizations in the uncertainty space show us the possible scenarios, and their impact on traps volume.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201902184
2019-09-02
2024-04-23

  • From This Site

    /content/papers/10.3997/2214-4609.201902184
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. NakaymaK., SatoD., (2002), “Prediction of sealing capacity by the equivalent grain size method”, in Hydrocarbon Seal Quantification edit by KoestlerA.G. and HunsdaleR., NPF Special Publication 11, pp. 51–60, Published by Elsevier Science B.V., Amsterdam - Norwegian Pretoleum Society (NPF)
     [Google Scholar]
  2. Al-Hajeri, M.M., Al Saeed, M., Derks, J., Fuchs, T., Hantschel, T., Kauerauf, A.I., Neumaier, M., Schenk, O., Swienek, O., Tessen, N., Welte, D., Wygrala, B., Kornpihl, D. & Peters, K.E. (2009) “Basin and petroleum system modeling.” Oilfield Rev., 21, 14–29
     [Google Scholar]
  3. Nilsen, H.M., Lie, K., Moyner, O., & Andersen, O. (2015), “Spill-point analysis and structural trapping capacity in saline aquifers using MRST-co2lab”, Computers & Geosciences, 75, 33–43.
     [Google Scholar]
  4. Vrolijk, P., James, B., Myers, R., Maynard, J., Sumpter, L., Sweet, M., (2005), “Reservoir Connectivity Analysis - Defininf Reservoir Connections and Plumbing”, Society of Petroleum Enginners Middle East Oil Show and Conference, SPE 93577
     [Google Scholar]
  5. BinetH., CorreiaP., Nosjean-GorgeuN., RenardD., GeffroyF., ChautruJ.M., (2018), “Proper Systemic Knowledge of Reservoir Volume Uncertainties in Depth Conversion”, Closing the Gap III - Advances in Applied Geomodeling for Hydrocarbon Reservoirs, October 8–11, Lake Louise - Alberta (Canada)
     [Google Scholar]
  6. RuffoP., ScolaV., (1992), “Structural Model Uncertainty of a Prospect - A Geostatistical Approach”, 54th EAGE Meeting, June 1–5 June, Paris, France
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201902184
Loading
Automatic Scenarios Extraction from Depth Uncertainty Evaluation
Conference Proceedings 2019, 1 (2019); https://doi.org/10.3997/2214-4609.201902184
/content/papers/10.3997/2214-4609.201902184
/content/papers/10.3997/2214-4609.201902184
Loading

Data & Media loading...

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