1887
  1. Home
  2. Conferences
  3. Conference Proceedings
  4. 81st EAGE Conference and Exhibition 2019
  5. Conference paper

Abstract

Summary

Poor control with grid resolution has been identified as one of the major limitations within current earth modelling technologies. A main reason is the inflexibility of the structural model that the grid is adapted to. Aiming for fit-for-purpose optimization of earth model grid resolution, we summarize the principles of a hierarchical, nested representation of geological interfaces and volumetric regions in correspondence with geological principles. When generating an earth model grid, each region can be either discretized or further subdivided using the geological interfaces in its interior in a recursive manner. Control with the resolution of the geological structure thus enables better control with the resolution of the grid.

The method targets improved local control with the trade-off between model resolution and time spent for computation in grid-based modelling and simulation exercises. This is achieved by allowing a higher model resolution where it matters most to the application at hand while gradually ignoring details elsewhere. Also uncertainties in the structural geometries and topology are managed. Applications of particular interest include workflows where computation time is a major limiting factor, such as geosteering and interactive geological interpretation. However, a successful development could potentially benefit any grid-based subsurface workflow.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201900709
2019-06-03
2024-04-24

  • From This Site

    /content/papers/10.3997/2214-4609.201900709
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Bentley, M. and Ringrose, P.
    (2017) Future directions in reservoir modelling: new tools and ‘fit-for-purpose’ workflows. Geological Society, London, Petroleum Geology Conference series8. https://www.doi.org/10.1144/PGC8.40.
     [Google Scholar]
  2. Caumon, G., Laurent, G., Pellerin, J. and Cherpeau, N.
    (2013) Current bottlenecks in geomodeling workflows and ways forward. Closing the Gap: Advances in Applied Geomodeling for Hydrocarbon Reservoirs (Garner, D., Thenin, D. and Deutsch C. V., Red.) 20, pp. 43–52. Canadian Society of Petroleum Geologists.
     [Google Scholar]
  3. Jackson, M. D., Hampson, G. J., Saunders, J. H., El-Sheikh, A. et al.
    (2014) Surface-based reservoir modelling for flow simulation. Geological Society, London, Special Publications387, pp. 271–292. https://www.doi.org/10.1144/SP387.2.
     [Google Scholar]
  4. Mallison, B., Sword, C., Viard, T., Milliken, W. and Cheng, A.
    (2014) Unstructured Cut-Cell Grids for Modeling Complex Reservoirs. SPE Journal19. https://www.doi.org/10.2118/163642-PA.
     [Google Scholar]
  5. Suter, E., Cayeux, E., Friis, H. A., Escalona, A., Karstad, T. and Vefring, E. H.
    (2017a) A Novel Method for Locally Updating an Earth Model While Geosteering. International Journal of Geosciences8 (2), pp. 237-264. https://www.doi.org/10.4236/ijg.2017.82010.
     [Google Scholar]
  6. Suter, E., Friis, H. A., Escalona, A., Karstad, T. and Vefring, E. H.
    (2017b) A Novel Method for Multi-Resolution Earth Model Gridding. SPE Reservoir Simulation Conference, 20-22 February, Montgomery, Texas, USA. https://www.doi.org/10.2118/182687-MS.
     [Google Scholar]
  7. Suter, E.
    (2018) Novel Principles for Effective Earth Model Grid Management while Geosteering. PhD dissertation, University of Stavanger, Faculty of Science and Technology, Department of Energy Resources, Norway. http://hdl.handle.net/11250/2578690.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201900709
Loading
Principles for a Hierarchical Earth Model Representation Aiming Towards Fit-For-Purpose Grid Resolution
Conference Proceedings 2019, 1 (2019); https://doi.org/10.3997/2214-4609.201900709
/content/papers/10.3997/2214-4609.201900709
/content/papers/10.3997/2214-4609.201900709
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