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- W2897741822 abstract "Summary Initial model estimation can be fully data driven. Normally only one inversion run is required to achieve a good estimate for a smooth initial model with this approach. The scheme saves the operator in charge of the processing from repeated tests to find a proper initial model. It is very common in a production setting that several initial models are tested by the operator for each survey dataset. Thus there is a search not only for the final model but also for the initial model. These initial-model tests have a fairly high cost since they are full-scale inversions. A data driven start model generation approach has the potential to improve marine controlled-source electromagnetic imaging, especially in the deeper sections. A real data test from Brazil confirms the potential, the approach, giving a more focused inversion that has a better match with a priori information regarding reservoir placement, both laterally and in depth." @default.
- W2897741822 created "2018-10-26" @default.
- W2897741822 creator A5077071806 @default.
- W2897741822 date "2018-06-11" @default.
- W2897741822 modified "2023-10-09" @default.
- W2897741822 title "Data Driven Initial Model Estimation with Application to Marine CSEM Data" @default.
- W2897741822 doi "https://doi.org/10.3997/2214-4609.201801397" @default.
- W2897741822 hasPublicationYear "2018" @default.
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