Litho ToolKit
Litho ToolKit lithofacies analysis techniques are a complete collection of tools to enable you to perform quick and detailed lithology estimation. Whether it is a simple analysis or a statistical method of estimation that is required, a full suite of methods are available to complete the computation in a multi well, multi curve environment.
Litho ToolKit consists of five estimation techniques:
- LithoQuickLook - multi well, multi curve cutoff technique
- Clustering - using multi-variant clusters
- Neural Networks - facies estimation using neural networks
- MD Histograms - estimation using multidimensional histograms
- Estimation - log estimation using neural networks
Benefits
- A choice of techniques in one place enables you to make the best lithofacies estimation for all types of data.
- Tight integration lets you display your results throughout GeoFrame, so your results support further interpretation quickly.
- Since all modules of Litho ToolKit have the same look and feel, you can move through estimation techniques with ease and minimal set up.
- Estimations can be trained and applied across whole fields quickly and efficiently with multi well multi curve modules.
- Detailed facies analysis enables small scale definition of the well and clarifies the field geologically for more accurate reserve recovery.
- Litho ToolKit provides a greater geological understanding of the reservoir, and can highlight reservoir extent and lithology, increasing the probability of success.
Features
- Multi well facies classification and estimation using a combination of dipmeter derived logs and standard open hole logs
- Choice of Neural network, Multidimensional Histogram, clustering or cutoff techniques to estimate lithofacies
- Powerful and efficient for multi well analysis
- Define key facies on log composites or cross plot displays
- Use key wells and build a multi well facies database
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