Яндекс.Метрика

A.Bakulin,M.Dmitriev,I.Silvestrov, D. Neklyudov, K. Gadylshin, M. Protasov

Издание: Society of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019 (San Antonio, Texas, 15-20 September 2019)
Год издания: 2020
Страницы: 3954-3958

Аннотация

We present a method for enhancement of challenging prestack seismic data that preserves valuable local information such as residual statics, wavelet shape and frequency bandwidth. This information is encoded in the original data; but is often not easily extracted because of low signal-to-nose ratio (SNR). While enhancement methods based on local summation are very powerful to increase SNR, they inevitably smear and average such local information. The method proposed here attempts to alleviate these shortcomings by using efficient data-driven estimation of local traveltime signal trajectories and performing general waveform corrections before summation that compensate for differences in residual traveltimes, phases and amplitudes. The proposed method might lead to optimal processing of modern high-channel count and signal-sensor data and should enable extracting more usable information from the modern land seismic surveys.
индекс в базе ИАЦ: 042182