Geostatistical Simulation

Kriging gives one smooth map; simulation gives many rough, equally probable ones. Understand why that matters for uncertainty, then build sequential Gaussian simulation step by step, from LU decomposition to full 2D realizations you can regenerate.

17 interactive sections across 2 books
Start here → From kriging to simulation: why one map is never enough, from Geostatistics

Geostatistics

  1. From kriging to simulation: why one map is never enough
  2. The LU decomposition approach to simulation
  3. Sequential Gaussian Simulation (SGS)
  4. The kriging variance, what it means and what it doesn't
  5. Capstone 1: Clastic shelf reservoir characterization
  6. Capstone 2: Carbonate reservoir with facies modeling
  7. Conditioning on hard data
  8. Simple kriging from first principles
  9. Capstone 4: Tight-gas reservoir with fracture overprint
  10. Debiasing checks and conditional bias
  11. Multiple realisations and uncertainty maps
  12. Sequential Indicator Simulation (SISIM)
  13. Capstone 3: Fluvial channel reservoir (multipoint statistics)
  14. Master geostatistical workflow card
  15. What declustering changes downstream
  16. Indicator methods: strengths and known pitfalls

Reservoir Modeling and Simulation

  1. Multiple Realizations and Uncertainty

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