Phase/frequency deconvolution of seismic signals / A. I. Kochegurov [et al.]

Альтернативный автор-лицо: Kochegurov, A. I., specialist in the field of Informatics and computer engineering, associate Professor of Tomsk Polytechnic University, candidate of technical Sciences, 1954-, Aleksandr Ivanovich;Kochegurova, E. A., specialist in the field of Informatics and computer engineering, associate Professor of Tomsk Polytechnic University, candidate of technical Sciences, 1958-, Elena Alekseevna;Kozlov, A. E., Anatoly Evgenjevich;Mongolin, A. S., Aleksandr SergeevichКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет, Инженерная школа информационных технологий и робототехники, Отделение информационных технологийЯзык: английский.Резюме или реферат: 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..Примечания о наличии в документе библиографии/указателя: [References: 17 tit.].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | data compression | deconvolution | geophysical signal processing | seismology | signal resolution | сжатие данных | деконволюция | сейсмология | геофизические сигналы | обработка Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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[References: 17 tit.]

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.

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