Petrel Facies Modeling
An extensive list of methods to model complex geological features and connectivity
Model your pixel- or object-based stochastic facies using deterministic techniques. Condition the facies to a seismic property or trend surfaces with the data analysis process, or use objects sampled directly from seismic with the volume extraction tool.
Benefits
- Use a 3D facies model to incorporate lithological information when modeling reservoir properties such as porosity.
- Guide your algorithms with a range of trends.
Multipoint geostatistics
Traditional reservoir modeling techniques use simplified, two-point statistics to represent geological phenomena that have complex geometrical configurations. The use of multipoint statistics has improved in recent years, reducing previous limitations. The Petrel 2009 software release introduced a multipoint facies simulation (MPFS) algorithm, providing users with new methods to model complex geological features and connectivity. These workflows work efficiently in multimillion cell models and honor well, seismic, and probability data. The workflows are much faster than before and use less than 5 percent of the memory needed to run MPFS in the model, improving performance when using training images. Petrel 2010 introduces a new simplified training image and pattern creation process, which, combined with the new user-defined object creation process, allows the geologist to create realistic training images that are reproduced by the MPFS algorithm.
Object modeling
This stochastic method to distribute facies objects in the 3D model uses a variety of predefined geological shapes, including fluvial channels with levees. Petrel software also offers alternative adaptive channels, better suited for honoring a greater number of wells and ensuring connectivity.
Sequential indicator simulation
A stochastic, pixel-based method combines variograms and target volume fractions with the optional use of 1D, 2D, or 3D trend data to simulate a 3D facies model. It is most appropriate when either the shape of particular facies bodies is uncertain, or a number of trends control the facies type, for example, when using a seismic attribute to control the probability of the occurrence of certain facies.
Truncated Gaussian simulation
A very useful stochastic method for modeling environments where there is a natural transition through a sequence of facies. Typical examples include carbonate environments and progradational fluvial sequences. A modified version of the traditional TGSim function is implemented in Petrel software as the Truncated Gaussian simulation with trends, allowing for much better control of the borders between each facies type to be modeled.
Indicator kriging
Petrel Facies Modeling features indicator kriging, a deterministic, pixel-based method for producing facies models based on kriging probabilities.
Interactive editing
Use the intuitive drawing tools, such as pencil, brush, and airbrush, as a standard drawing package. Edit your facies models and use them as a background in any of the facies modeling methods, or simply deterministically define the presence of a type of lithology in your model.
Other features
Employ the Data Analysis and Trend Modeling processes to investigate and edit trends in the data, condition the model to a seismic cube, and build variograms.
- Use the scientific calculator for calculations.
- Filter by index, zone, segment, value, and upscaled cells.
- Generate synthetic logs for well trajectories.
- Generate connected volumes.
- Visualize facies in the mapping module for printing scaled maps and intersections in combination with any other filtered or unfiltered data.
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