Petrel Petrophysical Modeling
Assign petrophysical values to cells in a 3D grid
Petrel petrophysical modeling provides the following capabilities:
- Create 3D models of petrophysical properties using well logs.
- Use 3D facies models and/or 3D seismic attributes to control and condition the model.
- Apply a combination of modeling techniques for each run.
Deterministic modeling
The available deterministic modeling techniques include
- simple and ordinary kriging
- moving average, based on inverse distance weighting
- functional, based on function approximation
- closest point.
Stochastic modeling
Petrel software uses sequential gaussian simulation for distribution of petrophysical property data in the 3D grid. This includes
- user-defined variogram and range
- trends in vertical and horizontal directions
- simple kriging, ordinary kriging, and colocated cokriging with secondary data; excellent for inversion data
- conditional and unconditional simulation.
Random gaussian simulation
When the correlation between soft data and hard data is zero, the simulation depends on well data only and is completely independent of soft data, such as seismic. As the correlation increases, so does the dependence of the final result on the seismic data. Petrel software calculates the optimal correlation between seismic and porosity, and uses this as the default for colocated cosimulation. However, this correlation is one of the sensitivities that should be examined within an uncertainty study. The Petrel 2009 release gives users a quick visual appreciation of the correlation without having to restart the simulation every time.
Run your our own algorithm
You can also run your own algorithm, in combination with other available methods found in the user interface.
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