Determining non-linear petrofacies using cross-plot partitioning
AssigneeLandmark Graphics Corporation
InventorsTimothy Jeremiah KHO, Travis St. George RAMSAY
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Abstract
Systems and methods for determining non-linear petrofacies using cross-plot partitioning to define petrofacies boundaries that distinguish the petrofacies by appearance and/or composition using systematic and automated data analysis techniques.
Claims20
A method for predicting hydrocarbon production from a subsurface reservoir by determining non-linear petrofacies, which comprises:
- partitioning a cross-plot using a data frequency of data points in the cross-plot and a computer processor;
- and
- repartitioning the cross-plot by one of refining one or more partitions in the cross-plot using a data frequency of data points in an investigation window in the cross-plot and modifying one or more partitions in the cross-plot using a sensitivity analysis of data points in a predefined region to grow and a predefined region to reduce.
A non-transitory program carrier device tangibly carrying computer-executable instructions for predicting hydrocarbon production from a subsurface reservoir by determining non-linear petrofacies, the instructions being executable to implement:
- partitioning a cross-plot using a data frequency of data points in the cross-plot;
- and
- repartitioning the cross-plot by one of refining one or more partitions in the cross-plot using a data frequency of data points in an investigation window in the cross-plot and modifying one or more partitions in the cross-plot using a sensitivity analysis of data points in a predefined region to grow and a predefined region to reduce.
A non-transitory program carrier device tangibly carrying computer-executable instructions for predicting hydrocarbon production from a subsurface reservoir by determining non-linear petrofacies, the instructions being executable to implement:
- partitioning a cross-plot using a data frequency of data points in the cross-plot;
- repartitioning the cross-plot by modifying one or more partitions in the cross-plot using a sensitivity analysis of data points in a predefined region to grow and a predefined region to reduce;
- measuring a distance between each data point in the region to reduce and a common partition between the region to reduce and the region to grow;
- and
- normalizing each distance.
Dependencies are inferred from the claim text.