Improving the resolution of seismic data based on S transform and modified variational mode decomposition, an application to Songliao Basin, Northeast China

• Autorzy: Liu Siqin , Zhou Zhusheng , Peng Sanxi , Yang Yang , Zeng Weizu , Chen Keyang

Identyfikatory

DOI

10.1007/s11600-022-00781-z

• Języki publikacji: EN

Abstrakty

EN

The sandstone of the lithologic reservoir in Songliao Basin is characterized by thin vertical thickness and rapid lateral pinch outs, which make it difficult to identify and describe the sandstone due to insufficient resolution of existing seismic data. To solve this problem, a method based on S-transform and modified variational mode decomposition is proposed to improve the resolution in the time–frequency domain by cepstrum deconvolution. Firstly, the time–frequency spectrum of seismic records is obtained by generalized S-transform; then it is transformed into cepstrum; and the wavelet amplitude spectrum is extracted by modified variational mode decomposition with permutation entropy, to realize the time–frequency domain deconvolution of cepstrum. After improving the resolution of seismic data in the study area, the frequency band of the data is broadened by more than 20%. After frequency expansion, the seismic refection structure reflects the sedimentary characteristics of the actual sandstone in the area. The seismic refection has a good correspondence with the well point sandstone, and the thin sandstone is clearly depicted. It is fully verified that this method can effectively improve the resolution of seismic data and has the characteristics of relative amplitude preservation.

Słowa kluczowe

EN

S-transform; MVMD; PE; cepstrum; deconvolution

PL

transformata S; MVMD; PE; cepstrum; dekonwolucja

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2022
• Tom: Vol. 70, no 3
• Strony: 1103--1113
• Opis fizyczny: Bibliogr. 25 poz.

Twórcy

autor

Liu Siqin

• Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Changsha, People’s Republic of China
• School of Geosciences and Info-Physics, Central South University, Changsha, People’s Republic of China

autor

Zhou Zhusheng

• School of Geosciences and Info-Physics, Central South University, Changsha, People’s Republic of China

autor

Peng Sanxi

• College of Earth Sciences, Guilin University of Technology, Guilin, Guangxi, People’s Republic of China

autor

Yang Yang

• College of Earth Sciences, Guilin University of Technology, Guilin, Guangxi, People’s Republic of China

• https://orcid.org/0000-0001-5272-5060

autor

Zeng Weizu

• Sichuan Earthquake Administration, Chengdu, Sichuan, People’s Republic of China

autor

Chen Keyang

• Exploitation and Development Research Institute, PetroChina Daqing Oilfeld Company, Daqing, Heilongjiang, People’s Republic of China

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).