Prestack density inversion using the Fatti equation constrained by the P- and S-wave impedance and density

Liang, Lu; Zhang, Hongbing; Zhiwei, Dan; Xu, Ziqiang; Liu, Xiujuan; Cao, Chunwei

doi:10.1007/s11770-017-0598-9

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…Gui et al [24] proposed approximate expressions of reflection coefficient directly expressed by P-wave velocity, Poisson's ratio, and density, and they could be used to extract Poisson's ratio directly. Azevedo et al [25] directly inverted density, P-wave velocity, and S-wave velocity models with gathering and sorting pre-stack seismic data by angle, inverted simulated elastic model by taking genetic algorithm as a global optimizer and obtained a reliable underground elastic medium model with high resolution. The primary properties of underground can be obtained by AVA simultaneous inversion.…”

Section: State Of the Artmentioning

confidence: 99%

Indicative Factors of Reservoir Sensitivity Based on Pre - stack Inversion

Yu¹,

Zhu²,

Wen³

et al. 2018

JESTR

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With the deepened exploration and development of petroleum, pre-stack inversion can predict reservoir and petroleum distribution by extracting elastic parameters by virtue of the gathers. Because of the abundant information, pre-stack inversion has gradually become a focus of research. Existing studies indicate that pre-stack amplitude variation with angle simultaneous inversion has a favourable application effect in conventional shallow sandstone gas reservoirs, but has poor impact in deeply hidden-type reservoirs. For improved the precision of description and prediction of hidden-type reservoirs, the Shahejie Formation in the Gangbei District of the Gangzhong Oil Field was used as an example, and a method of predicting complicated structure-lithology reservoir based on improved Fatti reflection coefficient approximation formula was proposed in this study. Based on petrophysical analysis and coordinate transformation theory, with elastic parameters which were obtained by the new technology, the indicative factors of reservoir sensitivity were established, resulting in forming a series of accurate reservoir prediction methods. Results show that the improved inversion method can accurately describe sand bodies in a complicated structure-lithology reservoir. Indicative factors of reservoir sensitivity show favourable linear correlation with sand bodies and it can indicate reservoir distribution more effectively than the conventional method. Prediction results are in agreement with actual drilling results. The study provides a theoretical reference for identifying complicated structure-lithology reservoirs.

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Section: State Of the Artmentioning

confidence: 99%

Indicative Factors of Reservoir Sensitivity Based on Pre - stack Inversion

Yu¹,

Zhu²,

Wen³

et al. 2018

JESTR

View full text Add to dashboard Cite

show abstract

“…Since Connolly [20] proposed elastic impedance, the amplitude variation with the offset method and elastic impedance inversion have been developed rapidly [21][22][23]. The conventional prestack seismic inversion mostly adopts the approximation equation of the exact Zoeppritz equation under the assumption of weak anisotropy and the small incident angles, with the increase in the incident angle, the error between them increases, but the large angle information is very important for the accurate inversion of the density parameters [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Favorable Carbonate Reservoirs under Extremely Thick Salts via Poststack Facies-Controlled and Prestack Zoeppritz Equation Inversions in the Santos Basin of Brazil

et al. 2020

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Subsalt carbonate rocks in Brazil’s deepwater region have broad prospects for oil and gas exploration and development. Due to the low-frequency bandwidth of the seismic data and the poor signal quality for this kind of reservoir target, there is a demand for accurate seismic prediction methods. We employ the facies-controlled inversion using a low-pass filter matrix to ensure the accuracy of the low frequency and to improve the robustness of the inversion results. We integrated the concept of adaptive regularization constraint of the Zoeppritz equation into the generalized linear inversion theory framework, which overcomes the shortcomings of the approximate equation. Making full use of the large angle prestack seismic information, Zoeppritz equation inversion improves the accuracy of the inversion results. The application of this method in carbonate reservoirs under extremely thick salts in the Santos Basin of Brazil indicates the feasibility and practicality of the proposed integrated prediction method.

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Depth-domain angle and depth variant seismic wavelets extraction for prestack seismic inversion

Zhang

Deng

2022

GEOPHYSICS

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Many pre-stack depth migration (PSDM) methods have been developed and widely utilized to generate depth domain seismic images, resulting in a need for depth domain pre-stack seismic inversion of the subsurface elastic properties for reservoir characterization. Time domain inversion techniques are often used after the depth domain dataset is transformed to the time domain. We provide a new technique for directly inverting depth domain pre-stack seismic data for subsurface elastic properties: P-impedance (Ip), S-impedance (Is), and density (?) in the depth domain. The proposed depth domain work ow eliminates the need for time-depth/depth-time conversion, making it both efficient and effective. Using a depth-wavenumber decomposition approach, the suggested work flow fi rst extracts a collection of depth and angle varying wavelets to handle the potential nonstationarity of the depth domain pre-stack seismic data. The extracted depth and angle variant wavelets were used in a basis pursuit inversion, which enhanced the resolution of the inversion results. The work flow was tested on the Wenan three-dimensional field dataset, demonstrating its viability for practical applications.

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Prestack density inversion using the Fatti equation constrained by the P- and S-wave impedance and density

Cited by 4 publications

References 7 publications

Indicative Factors of Reservoir Sensitivity Based on Pre - stack Inversion

Indicative Factors of Reservoir Sensitivity Based on Pre - stack Inversion

Prediction of Favorable Carbonate Reservoirs under Extremely Thick Salts via Poststack Facies-Controlled and Prestack Zoeppritz Equation Inversions in the Santos Basin of Brazil

Depth-domain angle and depth variant seismic wavelets extraction for prestack seismic inversion

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