Subsurface Directional Equalization Analysis of Rock Bodies
OwnerJ.A. Vargas-Guzmaninventor
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Abstract
A subsurface directional analysis determines an image-based three-dimensional analysis meta-model with unbiased vectors and tensor relations among rock bodies or complex objects in the directional subsurface environment. An analytical tool is applied to sequence stratigraphy for characterization of geological heterogeneity of developed hydrocarbon reservoirs, aquifers and sequences of rocks.
Claims27
A computer implemented method of subsurface directional analysis of an area of interest with rock bodies having geological trends in the earth, the analysis having input data including geobody data and categorical data regarding the area of interest, the computer implemented method comprising the steps of:
- forming a measure of postulated proportions of rock joint events in the geological trends in the area of interest;
- forming a measure of spatial tensorial relations for projections along directions of the geological trends in the area of interest based on the measure of postulated proportions of rock joint events;
- projecting the categorical data onto the measure of spatial tensorial relations;
- determining cross-structural relationships between the projected categorical data and the measure of spatial tensorial relations for expected pairs of directions and rock categories;
- equalizing the measure of spatial tensorial relations and the projected categorical data to form a meta-model of facies present in the area of interest and their directions;
- forming a record of the meta-model of facies.
A data processing system for subsurface directional analysis of an area of interest with rock bodies having geological trends in the earth, the analysis having input data including geobody and categorical data regarding the area of interest, the data processing system comprising:
- a processor for performing the steps of:
- forming a measure of postulated proportions of rock joint events in the geological trends in the area of interest;
- forming a measure of spatial tensorial relations for projections along directions of the geological trends in the area of interest based on the measure of postulated proportions of rock joint events;
- projecting the categorical data onto the measure of spatial tensorial relations;
- determining cross-structural relationships between the projected categorical data and the measure of spatial tensorial relations for expected pairs of directions and rock categories;
- equalizing the measure of spatial tensorial relations and the projected categorical data to form a meta-model of facies present in the area of interest and their directions;
- and
- forming a record of the meta-model of facies.
The data processing system of claim 15, wherein the step of equalizing measure of spatial tensorial relations performed by the processor further comprises the step of:
- adjusting the satellite image data to maximize the cross-correlation between a well in the well data and lateral projections of the satellite image.
A data storage device having stored in a computer readable medium computer operable instructions for causing a processor to perform subsurface directional analysis of an area of interest with rock bodies having geological trends in the earth, the processor having as input data geobody and categorical data regarding the area of interest, the instructions stored in the data storage device causing the processor to perform the following steps:
- forming a measure of postulated proportions of rock joint events in the geological trends in the area of interest;
- forming a measure of spatial tensorial relations for projections along directions of the geological trends in the area of interest based on the measure of postulated proportions of rock joint events;
- projecting the categorical data onto the measure of spatial tensorial relations;
- determining cross-structural relationships between the projected categorical data and the measure of spatial tensorial relations for expected pairs of directions and rock categories;
- equalizing the measure of spatial tensorial relations and the projected categorical data to form a meta-model of facies present in the area of interest and their directions;
- and
- forming a record of the meta-model of facies.
Dependencies are inferred from the claim text.