Context based geo-seismic object identification
A workflow is presented that facilitates defining geocontextual information as a set of rules for multiple seismic attributes. Modeling algorithms may be employed that facilitate analysis of multiple seismic attributes to find candidate regions that are most likely to satisfy the set of rules. These candidates may then be sorted based on how well they represent the geocontextual information.
1. A seismic data analysis system, comprising:
a memory storing one or more routines; and
a processing component configured to execute the one or more routines stored in the memory, wherein the one or more routines, when executed by the processing component, cause acts to be performed comprising:
analyzing multiple input attributes of a geophysical or geological seismic data volume using geocontextual modeling;
calculating locations where there are configurations in the attribute space or in the geographical space that span the multiple input attributes and that obey a set of geocontextual rules to identify one or more direct hydrocarbon indicators;
scoring configurations in the data volume based on the calculations employing the geocontextual rules;
aggregating configurations into clusters; and
outputting the configuration scores to a display for review by a user.
2. The data analysis system of claim 1 , wherein the geophysical or geological seismic data comprises derivative data of attributes, horizons, faults or geobodies.
3. The data analysis system of claim 1 , wherein the geophysical or geological seismic data comprises one or more of well trajectories, surface seeps, gravity or magnetic or electromagnetic data or derived volumes, reservoir simulations, or production data.
4. The data analysis system of claim 1 , wherein the configurations are defined in the attribute space and in the geographical space.
5. The data analysis system of claim 1 , wherein the one or more routines, when executed by the processing component, cause further acts to be performed comprising:
ranking the configurations based on configuration scores; and
outputting a list of the ranked configurations.
6. The data analysis system of claim 1 , wherein the one or more routines, when executed by the processing component, cause further acts to be performed comprising:
classifying the configurations based on configuration scores; and
outputting the classifications of the classified configurations.
7. The data analysis system of claim 1 , wherein the one or more routines, when executed by the processing component, cause further acts to be performed comprising:
identifying anomalies based on configuration scores.
8. The data analysis system of claim 1 , wherein the analysis uses graphical modeling spanning different scales.
9. The data analysis system of claim 1 , wherein uncertainty in the interpretation of one or more clusters is used in scoring the one or more clusters in accordance with one or more scenarios.
10. The data analysis system of claim 9 , wherein each scored cluster is displayed for reviewer validation.
11. The data analysis system of claim 1 , wherein the analysis using geocontextual modeling employs a model and an inference engine.
12. The data analysis system of claim 1 , wherein the one or more routines, when executed by the processing component, cause further acts to be performed comprising:
updating the initial model based on reviewer feedback.
13. The data analysis system of claim 12 , wherein updating the initial model comprises modifying one or more of the following: a type and number of inputs, discretization of the inputs, configuration rules associated with the inputs, parameters of the inputs, or contextual rules or parameters of the contextual rules.
14. The data analysis system of claim 1 , wherein the one or more routines, when executed by the processing component, cause further acts to be performed comprising:
updating one or more inference engine rules and/or parameters based on reviewer feedback.