Seismic Spectral Decomposition Applications in Seismic

Farfour, Mohammed; Ferahtia, Jalal; Djarfour, Noureddine; Aitouch, Mohand Amokrane

doi:10.1002/9781119227519.ch6

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…Various methods like Short Time window Fourier Transform (STFT), Wavelet Transform, S-Transform (ST), Matching Pursuit Decomposition (MPD), and Empirical Mode Decomposition are employed for this purpose. Therefore, it is important to consider the strengths and limitations of these methods for effective subsurface geological feature delineation [12] [13] [14].…”

Section: Fourier and Wavelet Transformmentioning

confidence: 99%

Performance of Continuous Wavelet Transform over Fourier Transform in Features Resolutions

Appiah,

Danuor,

Bienibuor

2024

IJG

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This study presents a comparative analysis of two image enhancement techniques, Continuous Wavelet Transform (CWT) and Fast Fourier Transform (FFT), in the context of improving the clarity of high-quality 3D seismic data obtained from the Tano Basin in West Africa, Ghana. The research focuses on a comparative analysis of image clarity in seismic attribute analysis to facilitate the identification of reservoir features within the subsurface structures. The findings of the study indicate that CWT has a significant advantage over FFT in terms of image quality and identifying subsurface structures. The results demonstrate the superior performance of CWT in providing a better representation, making it more effective for seismic attribute analysis. The study highlights the importance of choosing the appropriate image enhancement technique based on the specific application needs and the broader context of the study. While CWT provides high-quality images and superior performance in identifying subsurface structures, the selection between these methods should be made judiciously, taking into account the objectives of the study and the characteristics of the signals being analyzed. The research provides valuable insights into the decision-making process for selecting image enhancement techniques in seismic data analysis, helping researchers and practitioners make informed choices that cater to the unique requirements of their studies. Ultimately, this study contributes to the advancement of the field of subsurface imaging and geological feature identification.

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Section: Fourier and Wavelet Transformmentioning

confidence: 99%

Performance of Continuous Wavelet Transform over Fourier Transform in Features Resolutions

Appiah,

Danuor,

Bienibuor

2024

IJG

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“…Spectral decomposition or time-frequency decomposition is an effective method for seismic interpretation that gives better definition to determine stratigraphic and structural features (Partyka et al 1999;Castagna and Sun 2003;Farfour et al 2017). The converted amplitude spectrum (frequency domain) can be used to describe the thickness of thin layers, which cannot be resolved in the time domain due to the low seismic resolution (Castagna and Sun 2006;Loizou et al 2008;Farfour et al 2012;Farfour and Yoon 2014).…”

Section: Spectral Decompositionmentioning

confidence: 99%

Application of seismic attribute analysis in fluvial seismic geomorphology

Hossain

2019

J Petrol Explor Prod Technol

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Seismic attributes can be important predictors, either qualitative or quantitative, of reservoir geometries when they are correctly used in reservoir characterization studies. This paper discusses seismic attribute analyses and their usefulness in seismic geomorphology study of Moragot field of Pattani Basin, Gulf of Thailand. Early to Middle Miocene fluvial channel and overbank sands are the reservoirs in Pattani Basin. Due to their limited horizontal and vertical distribution, it is not always possible to predict the geometry and distribution of these sands based on the conventional seismic interpretation. This study utilized various seismic attributes, e.g., RMS amplitude analysis, spectral decomposition, semblance and dipsteered similarity, RGB blending to image the geometry and the spatial distribution of sand bodies in horizon and stratal slices at different stratigraphic intervals. Attribute analyses reveal, at shallow stratigraphic levels, RMS and semblance can successfully identify channel-shaped sand bodies and mud-filled channels associated with channel belts. On the other hand in deeper stratigraphic intervals, sand distribution can be imaged more effectively by using spectral decomposition and dipsteered similarity volumes. High-frequency spectral decomposition slices can image thin sands, and low-frequency slices can image thick sands quite effectively in deeper intervals. RGB blending of different frequency slices is particularly useful in delineating channel systems of various dimensions at deeper intervals. These images show the distribution of sands and mud-filled channels at various stratigraphic levels. The width of channel belts varies from 200 m to 3 km. These channel belts are N-S or NW-SE oriented. From the channel pattern and their dimensions, depositional environments can be predicted. Mud-filled channels identified in the horizon slices will act as a connectivity barrier between sand bodies at either side of the channel. They can also act as lateral and up-dip seal to form stratigraphic traps. The seismic attribute analyses clearly show the geometry and spatial distribution of sand bodies. Hence, this method for predicting sand body geometry might help in field development planning as well as in reducing exploration risk.

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“…Once these constant frequency sections are computed, the user can investigate and analyze the frequency expressions of the targeted zone or formation. The latter expressions might be used to infer the fluid presence, lithology changes, or thickness estimations [20].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Spectral Decomposition Techniques in the Evaluation of Hydrocarbon Potential of “BOMS” Field, Coastal Swamp Niger Delta, Nigeria

Ugbor,

Onyeabor

2023

IJG

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This study employs the different approaches of the spectral decomposition techniques to evaluate the hydrocarbon potential of the reservoir and analyse to determine the most efficient spectral decomposition technique with better resolution using the "BOMS" Field, coastal swamp depobelt Niger Delta, Nigeria. A good number of drilled wells have failed both in the Niger Delta Basin and other basins due to a poor understanding of the reservoir properties in advance of drilling and identifying the best approach will help to minimize this risk. Seismic and well logs data together with the Hampson Russel 10.3 software were used for the study. The target reservoirs were identified from the suite of well logs at the horizons with low gamma ray, high resistivity, and low acoustic impedance between TVD (ft) of 10,350 -10,450 ft. The analysis of the amplitude spectrum of the seismic data revealed that the distortion of interest lies between 5 -60 Hz. Seismic data were then spectrally decomposed into several frequencies such as low frequency (15 Hz), mid-frequency (31 Hz), and high frequency (46 Hz) where distortions were observed. Timefrequency slices of 15 Hz and 23 Hz provided clearer events (potential hydrocarbon sand) indicated by high amplitude envelope (2200 -2400) and amplitude anomalies. While the amplitude dropped in the mid-frequency (31 Hz), the high amplitude envelope and the high energy completely disappeared in the high (46 Hz) time-frequency slice. A comparison of the Shorttime Fourier transform and the Basic Pursuit algorithm revealed that the Basic Pursuit provided a better resolution of the reservoir characteristics than the former. The Red, Green and Blue (RGB) colour blending model indicated that the channel was consistent with the low-frequency section and amplitude anomaly.

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Seismic Spectral Decomposition Applications in Seismic

Cited by 9 publications

References 20 publications

Performance of Continuous Wavelet Transform over Fourier Transform in Features Resolutions

Performance of Continuous Wavelet Transform over Fourier Transform in Features Resolutions

Application of seismic attribute analysis in fluvial seismic geomorphology

Assessment of the Spectral Decomposition Techniques in the Evaluation of Hydrocarbon Potential of “BOMS” Field, Coastal Swamp Niger Delta, Nigeria

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