Phase/frequency deconvolution of seismic signals

Alexander I. Kochegurov, Elena A. Kochegurova, Anatoly E. Kozlov, Alexander S. Mongolin

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

Аннотация

The proposed paper is dedicated to development of a new deconvolution technique for seismic signal compression. This approach is based on the analysis of the instantaneous phase spectrum for the recorded waves. In contrast to existing deconvolution techniques, the proposed approach implements an inverse filter for amplitude spectrum equalization. Studies of the phase-frequency deconvolution method are presented on simulated and real data. High resolution and capabilities of the technique in the selection of reflective boundaries are shown in the images of thin-layered geological sections of the Krapivinskoye oilfield in the Tomsk region.

Язык оригиналаАнглийский
Название основной публикацииISSCS 2019 - International Symposium on Signals, Circuits and Systems
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781728138961
DOI
СостояниеОпубликовано - 1 июл 2019
Событие2019 International Symposium on Signals, Circuits and Systems, ISSCS 2019 - Iasi, Румыния
Продолжительность: 11 июл 201912 июл 2019

Серия публикаций

НазваниеISSCS 2019 - International Symposium on Signals, Circuits and Systems

Конференция

Конференция2019 International Symposium on Signals, Circuits and Systems, ISSCS 2019
СтранаРумыния
ГородIasi
Период11.7.1912.7.19

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Цитировать

    Kochegurov, A. I., Kochegurova, E. A., Kozlov, A. E., & Mongolin, A. S. (2019). Phase/frequency deconvolution of seismic signals. В ISSCS 2019 - International Symposium on Signals, Circuits and Systems [8801759] (ISSCS 2019 - International Symposium on Signals, Circuits and Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSCS.2019.8801759