1887

Abstract

Summary

One major challenge with the current subsurface modeling workflows is the difficulty to transfer the high complexity of static geological models to simulation. This paper describes an improved gridding technology that overcomes the shortcomings of existing corner-point stair-step and pillar-based grids in capturing the complex geological features of hydrocarbon reservoirs. It also highlights the seamless use of this new gridding technology in flow simulation.

After reviewing the different types of grids commonly used in geological modeling, the benefits of the new approach will be detailed, while highlighting its compatibility with commercial flow simulators.

Common modeling practices that use corner-point stair-step and pillar-based grids fail to preserve the geometry of most geological objects. The new gridding algorithm presented here addresses three major shortcomings of the current approaches by providing an efficient way to:

  • Accurately represent any type of geological structures in a 3D grid.
  • Capture complex sedimentological properties across geological structures.
  • Connect the grid to commercial flow simulators to preserves any type of structure and sedimentology in dynamic simulations.

This high-accuracy gridding system is fully simulator agnostic, giving simulation engineers a unique opportunity to run models without the need for any explicit grid system conversion.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201900710
2019-06-03
2024-03-28
Loading full text...

Full text loading...

References

  1. de Jager, G. and Pols, R. J. W.
    [2006] A fresh Look at Integrated Reservoir Modeling Software. First break. vol 24, 75–81
    [Google Scholar]
  2. Kleibergen, R.
    [2017] Modeling and Optimization Technologies - A Competitive Edge in Hydrocarbon Recovery. 22nd World Petroleum Congress, Istanbul, 2017.
    [Google Scholar]
  3. Mallet, J.L.
    [2002]. Geomodeling. Applied Geostatistics. Oxford University Press.
    [Google Scholar]
  4. Nasution, A. and Ganzo, A.
    [2016]. Assessing 3D Structural Uncertainties in Reservoir Modeling and their Effects in Fluid Distributions and Dynamics. 78th EAGE Conference and Exhibition 2016, May 30-June 2, 2016
    [Google Scholar]
  5. Thom, J. and Hocker, C.
    [2009]. 3-D Grid Types in Geomodeling and Simulation - How the Choice of the Model Container Determines Modeling Results. AAPG Annual Convention and Exhibition, Denver, Colorado, June 7-10 2009
    [Google Scholar]
  6. Wu, X. H. and Parashkevov, R.R.
    [2009]. Effect of Grid Deviation on Flow Solutions. SPE Reservoir Simulation Symposium, The Woodlands, Texas, January 31-February 2, 2005
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201900710
Loading
/content/papers/10.3997/2214-4609.201900710
Loading

Data & Media loading...

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