The application of quantitative gas saturation estimation based on the seismic wave dispersion inversion

Chen, Shuangquan; Chapman, Mark; Wu, Xiaomin; Li, Xiang‐Yang

doi:10.1016/j.jappgeo.2015.07.001

Cited by 15 publications

(7 citation statements)

References 60 publications

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“…The method was carried out for prestack seismic data [4]. A method was developed to derive velocity dispersion attributes on post-stack seismic data that has undergone spectral decomposition based on certain frequency values [6]. The spectral decomposition method used in this study is S-Transform [8].…”

Section: Velocity Dispersion Attributementioning

confidence: 99%

“…There are several possibilities for fluid indicators related to dispersion by combining AVO analysis with spectral decomposition of sandstone reservoirs [4]. The estimation of gas saturation in a sandstone reservoir with velocity dispersion attributes resulting from the inversion of post-stack seismic data [6]. However, the results of the velocity dispersion attribute still depend on the spectral decomposition method we choose [7].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Velocity Dispersion Attribute in Carbonate Reservoir

Erlangga

Sukmono

Triyoso

et al. 2022

J. Phys.: Conf. Ser.

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Detection of the presence of saturated hydrocarbons in pores or rock fractures is a major problem in the field of exploration geophysics which is interesting to study. Some of the fluid saturation indicators were originally derived from the Zoepprit equation. However, the indicator that is derived from the linearization of the reflection coefficient is not influenced by frequency. In fact, frequency is a physical quantity that is very sensitive to the presence of fluid in a pore or rock fracture. Seismic waves will experience attenuation and dispersion when propagating through a porous medium or gas-saturated fractures. Therefore, we need an indicator whose value is influenced by changes in the frequency of seismic waves. This indicator is an attribute of the velocity dispersion. In previous studies, the velocity dispersion attribute was used to detect the fluid content of gas in sandstone. Based on this research, it turns out that it shows effective results in mapping the presence of saturated gas zones in the carbonate pores. In the end, the results of this study will be able to map the presence of saturated gas zones in carbonate reservoir.

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Section: Velocity Dispersion Attributementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Velocity Dispersion Attribute in Carbonate Reservoir

Erlangga

Sukmono

Triyoso

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…Chen et al. (2015) combined Ren et al.’s (2009) NI reflection coefficient formula with the SPWVD technique to quantitatively estimate reservoir gas contents using the dispersion attributes of NI reflection waves. Bing et al.…”

Section: Introductionmentioning

confidence: 99%

Predicting sandstone water abundance using seismic dispersion attribute inversion: A case study of Yuwang coal mine, China

She,

Zou,

Gong

et al. 2024

Geophysical Prospecting

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Predicting the water abundance of coal‐bearing strata is crucial for ensuring mining safety. However, owing to the dispersion and attenuation characteristics caused by pore fluid flow, it is difficult to estimate the water abundance of coal seam roof aquifers using seismic data. To overcome this challenge, we provide the relationship between the frequency‐dependent seismic wave velocity and water saturation based on the Chapman fracture model and the mixing fluid model. We propose a seismic dispersion attribute technique that can use dispersion information as an indicator of water abundance. Numerical experiment results show that the water saturation of the sandstone aquifer is positively correlated with the dispersion attribute. The results of low‐frequency rock physical experiments are roughly consistent with those predicted by the model for the given parameters. Using seismic dispersion attribute inversion and the frequency slice wavelet transform method, we predicted the water abundance of sandstone in the coal seam roof of the Yuwang coal mine in Yunnan Province, China. The predicted sandstone water abundance was compatible with the actual water‐rich scenario observed in well logs and downhole drilling in the study area. Therefore, the method proposed herein has the potential to quantitatively determine the water abundances of sandstone aquifers in coal seam roofs.

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“…Wu et al (2014) also illustrated another field case study of the frequency-dependent AVO by improving the procedure of inversion. Chen et al (2015) quantitatively calculated the gas saturation based on the dispersion inversion using stacked seismic data. Wang et al (2019) investigated the problem of reflection and transmission of plane elastic waves at an interface between two double-porosity media.…”

Section: Introductionmentioning

confidence: 99%

Rock Physical Modeling and Seismic Dispersion Attribute Inversion for the Characterization of a Tight Gas Sandstone Reservoir

et al. 2021

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Gas identification using seismic data is challenging for tight gas reservoirs with low porosity and permeability due to the complicated poroelastic behaviors of tight sandstone. In this study, the Chapman theory was used to simulate the dispersion and attenuation caused by the squirt flow of fluids in the complex pore spaces, which are assumed to consist of high aspect-ratio pores (stiff pores) and low aspect-ratio microcracks (soft pores). The rock physics modeling revealed that as the gas saturation varies, P-wave velocity dispersion and attenuation occurs at seismic frequencies, and it tends to move to high frequencies as the gas saturation increases. The velocity dispersion of the tight gas sandstone causes a frequency-dependent contrast in the P-wave impedance between the tight sandstone and the overlying mudstone, which consequently leads to frequency-dependent incidence reflection coefficients across the interface. In the synthetic seismic AVO modeling conducted by integrating the rock physics model and the propagator matrix method, the variations in the amplitudes and phases of the PP reflections can be observed for various gas saturations. The tests of the frequency-dependent AVO inversion of these synthetic data revealed that the magnitude of the inverted P-wave dispersion attribute can be used to indicate gas saturation in tight sandstone reservoirs. The applications of the frequency-dependent AVO inversion to the field pre-stacked seismic data revealed that the obtained P-wave dispersion attribute is positively correlated with the gas production from the pay zone at the well locations. Thus, the methods of the rock physics modeling and the frequency-dependent AVO inversion conducted in this study have good potential for the evaluation of the gas saturation in tight gas sandstone reservoirs.

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The application of quantitative gas saturation estimation based on the seismic wave dispersion inversion

Cited by 15 publications

References 60 publications

Velocity Dispersion Attribute in Carbonate Reservoir

Velocity Dispersion Attribute in Carbonate Reservoir

Predicting sandstone water abundance using seismic dispersion attribute inversion: A case study of Yuwang coal mine, China

Rock Physical Modeling and Seismic Dispersion Attribute Inversion for the Characterization of a Tight Gas Sandstone Reservoir

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