Stack impedance

Li, Hongbing; Cui, Xingfu; Huang, Wenfeng

doi:10.1190/1.3059289

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…Especially in the target area of deep reservoir, seismic data have a small illumination angle, which make the extraction of single incident angle gather more difficult. Li et al (2008) proposed a solution by rewriting the Connolly's EI equation into a new form, called stack impedance (SI) equation. Unlike the EI equation which is a function of a single incident angle, the SI equation is a function of the starting and ending angles of partial angle stack gather.…”

Section: Methodsmentioning

confidence: 99%

“…(17) into Eq. ( 19) and according to the derivation of SI equation (Li et al 2008), we can deduce Eq. ( 18) into the form of SI, as where SI 0 is the normalization factor and can be the mean value of the acoustic impedance of target layer, and the…”

Section: Methodsmentioning

confidence: 99%

“…The advantage of CSSI is that it can obtain broadband reflection coefficients (Latimer et al 2000;Yuan et al 2017;Ma et al 2019). It has been proven that the SI equation is more suitable for partial angle stack data and the inversion result is more accurate (Li et al 2008;Gui et al 2014). Since there are three parameters needed to be inverted, at least three SI data with different angle stack ranges are required.…”

Section: Methodsmentioning

confidence: 99%

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Direct inversion for sensitive elastic parameters of deep reservoirs

Gui

Gao

et al. 2019

Acta Geophys.

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The deep reservoir is usually a type of tight reservoir with high pressure, high stress, low permeability and low porosity. The elastic parameters including Poisson's ratio and Young's modulus are important sensitive parameters to the tight reservoir, and the Gassmann fluid term is frequently used in the field of fluid identification as a highly sensitive fluid factor. Such parameters can be obtained by the common prestack seismic inversion method, but not directly. It must first invert for other elastic parameters and then convert them into the Poisson's ratio, Young's modulus and Gassmann fluid term by some formula. The errors will be accumulated in the conversion step, and the inversion results will have a large deviation. We propose a one-step inversion method to solve this problem. Firstly, a new form of P-wave reflection coefficient equation in terms of Poisson's ratio, Young's modulus and Gassmann fluid term is derived which can directly establish the functional relationship between the P-wave reflection coefficient and these elastic parameters. Considering seismic data of deep reservoir generally have a lower signal-to-noise ratio (S/N) and the partial angle stack gather has a higher S/N than single angle gather, we then derive a stack impedance equation which is suitable for the partial angle stack gather. By using three stacked impedance inversion data with different angle stack ranges, we can directly get the Poisson's ratio, Young's modulus and Gassmann fluid term simultaneously. Model and real data tests both prove that the one-step direct inversion method can reduce the cumulative errors effectively and has higher inversion accuracy.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Direct inversion for sensitive elastic parameters of deep reservoirs

Gui

Gao

et al. 2019

Acta Geophys.

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Pre-stack inversion for caved carbonate reservoir prediction: A case study from Tarim Basin, China

et al. 2011

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The major storage space types in the carbonate reservoir in the Ordovician in the TZ45 area are secondary dissolution caves. For the prediction of caved carbonate reservoir, post-stack methods are commonly used in the oilfi eld at present since pre-stack inversion is always limited by poor seismic data quality and insuffi cient logging data. In this paper, based on amplitude preserved seismic data processing and rock-physics analysis, pre-stack inversion is employed to predict the caved carbonate reservoir in TZ45 area by seriously controlling the quality of inversion procedures. These procedures mainly include angle-gather conversion, partial stack, wavelet estimation, low-frequency model building and inversion residual analysis. The amplitude-preserved data processing method can achieve high quality data based on the principle that they are very consistent with the synthetics. Besides, the foundation of pre-stack inversion and reservoir prediction criterion can be established by the connection between reservoir property and seismic refl ection through rock-physics analysis. Finally, the inversion result is consistent with drilling wells in most cases. It is concluded that integrated with amplitude-preserved processing and rock-physics, pre-stack inversion can be effectively applied in the caved carbonate reservoir prediction.

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