High-Precision Spectral Decomposition Method Based on VMD/CWT/FWEO for Hydrocarbon Detection in Tight Sandstone Gas Reservoirs
Seismic time-frequency analysis methods can be used for hydrocarbon detection because of the phenomena of energy and abnormal attenuation of frequency when the seismic waves travel across reservoirs. A high-resolution method based on variational mode decomposition (VMD), continuous-wavelet transform...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-07-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/10/7/1053 |
| _version_ | 1811184312607834112 |
|---|---|
| author | Hui Chen Dan Xu Xinyue Zhou Ying Hu Ke Guo |
| author_facet | Hui Chen Dan Xu Xinyue Zhou Ying Hu Ke Guo |
| author_sort | Hui Chen |
| collection | DOAJ |
| description | Seismic time-frequency analysis methods can be used for hydrocarbon detection because of the phenomena of energy and abnormal attenuation of frequency when the seismic waves travel across reservoirs. A high-resolution method based on variational mode decomposition (VMD), continuous-wavelet transform (CWT) and frequency-weighted energy operator (FWEO) is proposed for hydrocarbon detection in tight sandstone gas reservoirs. VMD can decompose seismic signals into a set of intrinsic mode functions (IMF) in the frequency domain. In order to avoid meaningful frequency loss, the CWT method is used to obtain the time-frequency spectra of the selected IMFs. The energy separation algorithm based on FWEO can improve the resolution of time-frequency spectra and highlight abnormal energy, which is applied to track the instantaneous energy in the time-frequency spectra. The difference between the high-frequency section and low-frequency section acquired by applying the proposed method is utilized to detect hydrocarbons. Applications using the model and field data further demonstrate that the proposed method can effectively detect hydrocarbons in tight sandstone reservoirs, with good anti-noise performance. The newly-proposed method can be used as an analysis tool to detect hydrocarbons. |
| first_indexed | 2024-04-11T13:11:14Z |
| format | Article |
| id | doaj.art-1e26a6958fe644109e6bd38a48d8ef2a |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T13:11:14Z |
| publishDate | 2017-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-1e26a6958fe644109e6bd38a48d8ef2a2022-12-22T04:22:35ZengMDPI AGEnergies1996-10732017-07-01107105310.3390/en10071053en10071053High-Precision Spectral Decomposition Method Based on VMD/CWT/FWEO for Hydrocarbon Detection in Tight Sandstone Gas ReservoirsHui Chen0Dan Xu1Xinyue Zhou2Ying Hu3Ke Guo4Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059, ChinaGeomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059, ChinaGeomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059, ChinaGeomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059, ChinaGeomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu 610059, ChinaSeismic time-frequency analysis methods can be used for hydrocarbon detection because of the phenomena of energy and abnormal attenuation of frequency when the seismic waves travel across reservoirs. A high-resolution method based on variational mode decomposition (VMD), continuous-wavelet transform (CWT) and frequency-weighted energy operator (FWEO) is proposed for hydrocarbon detection in tight sandstone gas reservoirs. VMD can decompose seismic signals into a set of intrinsic mode functions (IMF) in the frequency domain. In order to avoid meaningful frequency loss, the CWT method is used to obtain the time-frequency spectra of the selected IMFs. The energy separation algorithm based on FWEO can improve the resolution of time-frequency spectra and highlight abnormal energy, which is applied to track the instantaneous energy in the time-frequency spectra. The difference between the high-frequency section and low-frequency section acquired by applying the proposed method is utilized to detect hydrocarbons. Applications using the model and field data further demonstrate that the proposed method can effectively detect hydrocarbons in tight sandstone reservoirs, with good anti-noise performance. The newly-proposed method can be used as an analysis tool to detect hydrocarbons.https://www.mdpi.com/1996-1073/10/7/1053variational mode decompositionfrequency-weighted energy operatorinstantaneous energyhydrocarbon detectiontight sandstone reservoirs |
| spellingShingle | Hui Chen Dan Xu Xinyue Zhou Ying Hu Ke Guo High-Precision Spectral Decomposition Method Based on VMD/CWT/FWEO for Hydrocarbon Detection in Tight Sandstone Gas Reservoirs Energies variational mode decomposition frequency-weighted energy operator instantaneous energy hydrocarbon detection tight sandstone reservoirs |
| title | High-Precision Spectral Decomposition Method Based on VMD/CWT/FWEO for Hydrocarbon Detection in Tight Sandstone Gas Reservoirs |
| title_full | High-Precision Spectral Decomposition Method Based on VMD/CWT/FWEO for Hydrocarbon Detection in Tight Sandstone Gas Reservoirs |
| title_fullStr | High-Precision Spectral Decomposition Method Based on VMD/CWT/FWEO for Hydrocarbon Detection in Tight Sandstone Gas Reservoirs |
| title_full_unstemmed | High-Precision Spectral Decomposition Method Based on VMD/CWT/FWEO for Hydrocarbon Detection in Tight Sandstone Gas Reservoirs |
| title_short | High-Precision Spectral Decomposition Method Based on VMD/CWT/FWEO for Hydrocarbon Detection in Tight Sandstone Gas Reservoirs |
| title_sort | high precision spectral decomposition method based on vmd cwt fweo for hydrocarbon detection in tight sandstone gas reservoirs |
| topic | variational mode decomposition frequency-weighted energy operator instantaneous energy hydrocarbon detection tight sandstone reservoirs |
| url | https://www.mdpi.com/1996-1073/10/7/1053 |
| work_keys_str_mv | AT huichen highprecisionspectraldecompositionmethodbasedonvmdcwtfweoforhydrocarbondetectionintightsandstonegasreservoirs AT danxu highprecisionspectraldecompositionmethodbasedonvmdcwtfweoforhydrocarbondetectionintightsandstonegasreservoirs AT xinyuezhou highprecisionspectraldecompositionmethodbasedonvmdcwtfweoforhydrocarbondetectionintightsandstonegasreservoirs AT yinghu highprecisionspectraldecompositionmethodbasedonvmdcwtfweoforhydrocarbondetectionintightsandstonegasreservoirs AT keguo highprecisionspectraldecompositionmethodbasedonvmdcwtfweoforhydrocarbondetectionintightsandstonegasreservoirs |