Thin bed reservoir detection using instantaneous attributes from Hilbert–Huang transform and spectral decomposition method

การตรวจหาแหล่งกักเก็บชั้นบางโดยใช้ลักษณะประจำขณะหนึ่งจากการแปลงของฮิลเบิร์ต-ฮวงและวิธีการแยกสเปกตรัม

Name: Apiwat Hiran

Classification :.DDC: 553

LCSH: Geophysics

LCSH: Spectrum analysis

Abstract: Thin bed reservoir has been a problem in seismic data analyzing, when the layer thickness is less than the tuning thickness (resolution limit). Instantaneous attribute was used to support the thin bed reservoir interpretation. However, instantaneous attributes derived from the complex seismic trace using the Hilbert transform will be meaningless when the data is non-linear and non-stationary. A method proposed by Huang et al. (1998) for analyzing seismic data, the empirical mode decomposition (EMD) is applied to reduce noise in seismic signal for improving the signal to noise ratio in time domains. The Hilbert–Huang transform (HHT) is the method that applied EMD to decompose non-stationary and non-linear signal as seismic data into sub-signal referred as “intrinsic mode functions (IMFs)” and combine that with Hilbert transform. The response of EMD was observed via thickness variation of a thin bed using the synthetic data of a wedge model. The IMF1 section resulted from EMD can distinguish the two reflectors from top and bottom of wedge model with thinner thickness than that from the original seismic section because the signal’s resolution is improved. Applying EMD with a real 3D seismic data shown that the IMF1 section has the higher quantification data resolution and shows a better continuity reflection. In this study, the HHT based on instantaneous attributes and spectral decomposition method were applied to 3D seismic data for thin bed reservoir analysis. The instantaneous amplitude of IMF1 from HHT calculation can highlight all the interested thin bed reservoirs while the spectral decomposition based on continuous Wavelet transform (CWT) or short-time Fourier transform (STFT) calculations create several iso-frequency sections which each of that could detect different thin bed layers indicating the variation of the layer thickness of the interested thin bed reservoirs. The HHT based instantaneous attributes are more effective method to increase accuracy of the thin bed reservoir interpretation. By using EMD processing, it can enhance the dominant frequency and resolution of the seismic data. As a result, the output seismic section, the IMF1, has a strong reflectivity and display more of the reflection detail. Consequently, the HHT based on instantaneous attributes might be used as one more technique to help with data interpretation such as the thin bed reservoir.

Chiang Mai University Library

Address: CHIANG MAI

Email: cmulibref@cmu.ac.th

Name: Sawasdee Yordkayhun

Role: Chairman

Name: Siriporn Chaisri

Role: Member

Name: Pisanu Wangpornchai

Role: Member

Created: 2016

Modified: 2020-01-04

Issued: 2020-01-04

วิทยานิพนธ์/Thesis

application/pdf

CallNumber: Th 553 A642T

eng

DegreeName: Master of Science

Level: Master's Degree

Descipline: Applied Geophysics

Grantor: Chiang Mai University

©copyrights Chiang Mai University

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