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Other examples in oil exploration |
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Without going into detail, we have added a list of questions that Intelligent Data Analysis can solve:
- How 3D seismic data, lithology and geology of the rocks are related to your production, and logs (porosity, density, gamma ray, etc.)?
- How knowledge of the 3D seismic data will help you to reconstruct the 3D volume of relevant reservoir information away from the well bor?
- How can you model the relationship between the seismic data and rock properties of the sandstone?
- How can you find relationships between 3D seismic attributes and well logs and to extrapolate mapping away from the well bore to reconstruct the log responses?
- How can you identify non-linear relationship between 3d seismic data and production-log data?
- How can you predict the optimum well placement?
- How can you characterize the high resolution reservoir heterogeneity (with pattern recognition)?
- How can you model the form and the spatial distribution of the heterogeneities in sedimentary rock properties (such as porosity)?
- How can you estimate the permeability in carbonate rocks?
- how can we model the behavior of the black oil reservoir fluid (crude oil) systems (for example, by using a radial basis function neural network model)
Go back to the main article, Intelligent Oil Reservoir Characterization and Modeling.
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