Comparison of spectral decomposition methods

Castagna, John P.; Sun, Shengjie

doi:10.3997/1365-2397.24.1093.26885

Cited by 170 publications

(13 citation statements)

References 3 publications

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“…Therefore, seismic signals with specific frequencies can be used to identify reservoirs effectively. The standard time-frequency analysis methods include discrete Fourier transform, maximum entropy method, short-time Fourier transform, continuous wavelet transform, and matching pursuit decomposition [47][48][49][50]. Wavelet frequency decomposition technology mathematically transforms seismic signals at different scales to obtain seismic signal characteristics under different wavelet dominant frequencies [51][52][53].…”

Section: Wavelet Decomposition Technologymentioning

confidence: 99%

Pre-Stack Seismic Data-Driven Pre-Salt Carbonate Reef Reservoirs Characterization Methods and Application

et al. 2021

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Carbonate reservoirs have significant reserves globally, but the substantial heterogeneity brings intractable difficulties to exploration. In the work area, the thick salt rock reduces the resolution of pre-salt seismic signals and increases the difficulty of reservoir characterization. Therefore, this paper proposes to utilize wavelet frequency decomposition technology to depict the seismic blank reflection area’s signal and improve the pre-salt signal’s resolution. The high-precision pre-stack inversion based on Bayesian theory makes full use of information from various angles and simultaneously inverts multiple elastic parameters, effectively depicting reservoirs with substantial heterogeneity. Integrating the high-precision inversion results and the Kuster-Toksöz model, a porosity prediction method is proposed. The inversion results are consistent with the drilling rock samples and well-logging porosity results. Moreover, the reef’s accumulation and growth, which conform to the geological information, proves the accuracy of the above methods. This paper also discusses the seismic reflection characteristics of reefs and the influence of different lithological reservoirs on the seismic waveform response characteristics through forward modeling, which better proves the rationality of porosity inversion results. It provides a new set of ideas for future pre-salt carbonate reef reservoirs’ prediction and characterization methods.

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Section: Wavelet Decomposition Technologymentioning

confidence: 99%

Pre-Stack Seismic Data-Driven Pre-Salt Carbonate Reef Reservoirs Characterization Methods and Application

et al. 2021

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“…T h e r e a r e s e v e r a l decomposition methods which are commonly used in seismic analysis, they can be grouped into three categories (Rojas, 2008), i.e., Short Time Fourier Tansform (STFT), Continuous Wavelet Transform (CWT), Stockwell Transform (1996), Matching P u r s u i t D e c o m p o s i t i o n (MPD) and Empirical Mode Decomposition (EMD), each having its own advantages and inconvenient (Castagna and Sun, 2006).…”

Section: Spectral Decomposition Methodsmentioning

confidence: 99%

Differenciating Oil, Gas And Water In Seismic Section Using Spectral Decomposition

Munadi¹,

Purba²,

A.S³

2022

SCOG

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Oil, Gas And Water Contained In The Pore Spaces Should Give Different Response In The Seismic Trace, But This Is Not An Easy Problem. However, From The Physical Point Of View Oil Is Quite Compressible, Gas Is Very Compressible And Water Is Incompressible, So In Principle They Should Give Different Response In Seismic Record. Since The Response In The Time Domain Is Sometimes Complicated In Nature, An Effort Has Been Carried Out To Remedy The Problem In The Frequency Domain. A Recent Advance In Signal Analysis Which Is Referred To As The Spectral Decomposition Has Been Used To Differentiate Oil, Gas And Water In Seismic Section. In This Case A Specifi C Method In Spectral Decomposition Called As The Continuous Wavelet Transform (CWT) Was Utilized For This Purpose. The Result Demonstrates That Oil, Gas And Water Can Be Differentiated Clearly In The CWT Spectrum Using The Data From The Deep Water Part In The Makassar Strait. The Results Are Encouraging.

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“…It provides a good frequency resolution at low frequencies and good time resolution at high frequencies, which makes the CWT a good tool for reservoir characterization (Sinha et al 2005). In comparison, the MP has the highest temporal resolution and frequency localization, but the computational processes are intensive (Castagna and Sun 2006).…”

Section: Local Spectral Decompositionmentioning

confidence: 99%

Application of amplitude spectrum and genetic inversion to determine shaly facies distribution: a case study: Murzuq Basin, Libya

Abushalah

Serpa

2018

Geophysical Prospecting

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Late Ordovician glacial deposits of the Mamuniyat Formation are the main oil reservoir in the Murzuq Basin in Libya. Autopicking the strong reflection at the base of the Silurian shales can be used to map the top of the Mamuniyat reservoir in the area where it is in direct contact with the Silurian shales. However, in areas where the Bir Tlacsin Formation, a mud‐prone unit, is between the Silurian shales and the Mamuniyat reservoir, the top of the Mamuniyat is difficult to pick because the units juxtaposed across the boundary are too similar to produce a strong reflection. Defining the Bir Tlacsin facies is important because it impacts hydrocarbon accumulation and migration. To predict the distribution of the shaly facies of Bir Tlacsin and enhance mapping of the top Mamuniyat reservoir, we utilized a continuous wavelet transform to identify the distinctive thickness of the Hot Shale and Bir Tlacsin units. We also used genetic inversion to distinguish the bulk density of the Bir Tlacsin facies. A 64 Hz frequency gave good time resolution to the amplitude spectrum and was used to predict the facies distribution of the Bir Tlacsin. In contrast, the 24 Hz frequency showed good frequency resolution of the amplitude spectrum and was used to estimate the temporal thickness of the non‐reservoir unit of Bir Tlacsin and Hot Shale. That estimate was then used to modify the autopick horizon for the base of the Silurian reflector to approximate the top of the Mamuniyat reservoir. Because of the large density contrast between the shaly facies of the Bir Tlacsin and the underlying and overlying units, inverted density also provides a way to predict the distribution of the Bir Tlacsin through estimated temporal thickness and to enhance mapping of the top Mamuniyat reservoir through mapping the base of the inverted density of the Bir Tlacsin. A comparison between mapping of the top reservoir using spectral decomposition and inverted density with respect to autopick shows that both methods improved the top of the Mamuniyat reservoir mapping. Prediction of the presence of Bir Tlacsin and improved accuracy of the top of the Mamuniyat reservoir mapping reduce the risk of drilling the shaly facies of Bir Tlacsin and provide a better estimate of the reservoir reserve.

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Comparison of spectral decomposition methods

Cited by 170 publications

References 3 publications

Pre-Stack Seismic Data-Driven Pre-Salt Carbonate Reef Reservoirs Characterization Methods and Application

Pre-Stack Seismic Data-Driven Pre-Salt Carbonate Reef Reservoirs Characterization Methods and Application

Differenciating Oil, Gas And Water In Seismic Section Using Spectral Decomposition

Application of amplitude spectrum and genetic inversion to determine shaly facies distribution: a case study: Murzuq Basin, Libya

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