System and method for reducing statics in seismic imaging
OwnerJie ZHANGinventor
Life of this patent
Estimating the term…
Abstract
The present embodiments describe a system and method for generating one or more predictive models to reduce the static interference present in seismic reflection studies. The system can include a user device and a server. The method proceeds with gathering historical data, generating synthetic data, generating a predictive model based on those data sets, and applying that model to a current set of a data to calculate a seismic reflection of a geological space.
Claims20
A method for generating a predictive model configured to correct residual errors in data-mapping, the method comprising the steps of:
- retrieving, by a processor, one or more sets of historical data with statics effects removed;
- generating, by the processor, one or more sets of synthetic data without statics applied;
- generating, by the processor, one or more sets of synthetic residual statics applied to historical data and synthetic data;
- analyze, by a predetermined algorithm, one or more trends in the historical data and the synthetic data;
- generate, by the processor upon analyzing the trends in the historical data and the synthetic data, a predictive model configured to calculate any errors present in their respective data sets;
- apply the predictive model to a current set of a data, the application comprising one or more iterations;
- and
- generate, upon applying the predictive model, one or more visual models with reduced errors.
A system for generating a predictive model configured to correct residual errors in data-mapping, the system comprising:
- a memory;
- and
- a processor configured to:
- retrieve on retrieving, by a processor, one or more sets of historical data with statics effects removed;
- generate, by the processor, one or more sets of synthetic data without statics applied;
- generate, by the processor, one or more sets of synthetic residual statics applied to the historical data and synthetic data;
- analyze, by a predetermined algorithm, one or more trends in the historical data and the synthetic data;
- generate, by the processor upon analyzing the trends in the historical data and the synthetic data, a predictive model configured to calculate any errors present in their respective data sets;
- apply the predictive model to a current set of a data, the application comprising one or more iterations;
- and
- generate, upon applying the predictive model, one or more visual models with reduced errors.
A computer readable non-transitory medium comprising computer executable instructions that, when executed on a processor, perform procedures comprising the steps of:
- retrieving, by a processor, one or more sets of historical data with statics effects removed;
- generating, by the processor, one or more sets of synthetic data without statics applied;
- generating, by the processor, one or more sets of synthetic residual statics applied to the historical data and synthetic data;
- analyze, by a predetermined algorithm, one or more trends in the historical data and the synthetic data;
- generate, by the processor upon analyzing the trends in the historical data and the synthetic data, a predictive model configured to calculate any errors present in their respective data sets;
- apply the predictive model to a current set of a data, the application comprising one or more iterations;
- and
- generate, upon applying the predictive model, one or more visual models with reduced errors.
Dependencies are inferred from the claim text.