Computation of Wave Attenuation and Dispersion, by Using Quasi-Static Finite Difference Modeling Method in Frequency Domain

Qazi, Adnan Ahmad; Wu, Guochen; Wu, Jing

doi:10.4401/ag-7450

Cited by 3 publications

(1 citation statement)

References 31 publications

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“…Seismic wave attenuation, which is known for its high sensitivity to the physical properties of rocks, has shown success in the lateral delineation of thin reservoirs [12]. However, as explained by Matsushima et al in 2017, the estimation of seismic attenuation is challenging, especially in carbonate reservoirs [13,14], despite several studies carried out to improve the methodology [15].…”

Section: Introductionmentioning

confidence: 99%

Theory and Application of Geostatistical Inversion: A Facies-Constrained MCMC Algorithm

Dong

Gui

et al. 2023

Processes

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To improve the prediction of thin reservoirs with special geophysical responses, a geostatistical inversion technique is proposed based on an in-depth analysis of the theory of geostatistical inversion. This technique is based on the Markov chain Monte Carlo algorithm, to which we added the contents of facies-constrained. The feasibility of the technique and the reliability of the prediction results are demonstrated by a prediction of the sand bodies in the braided river channel bars in the Xiazijie Oilfield in the Junggar Basin. Based on the MCMC algorithm, the results show that leveraging the lateral changes in the seismic waveforms as geologically relevant information to drive the construction of the variogram and the optimization of the statistical sampling can largely overcome the obstacle that prevents traditional geostatistical inversions from accurately delineating the sedimentary characteristics; thereby, the proposed algorithm truly achieves facies-constrained geostatistical inversion. The case study of the Xiazijie Oilfield showed the feasibility and reliability of this technology. The prediction accuracy of the FCMCMC algorithm-based geostatistical inversion is as high as 6 m for thin interbedded reservoirs, and the coincidence rate between the prediction results and the well log data is more than 85%, which confirms the reliability of the technique. The demonstrated performance of the proposed technique provides a preliminary reference for the prediction of the thin interbedded reservoirs formed in terrestrial sedimentary basins and characterized by small thicknesses and rapid lateral changes with special geophysical responses.

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Section: Introductionmentioning

confidence: 99%

Theory and Application of Geostatistical Inversion: A Facies-Constrained MCMC Algorithm

Dong

Gui

et al. 2023

Processes

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Numerical simulation and modeling of a poroelastic media for detection and discrimination of geo-fluids using finite difference method

Ahmad

Ehsan

Khan

et al. 2022

Alexandria Engineering Journal

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Attenuation and dispersion of P-waves in fluid-saturated porous rocks with a distribution of coplanar cracks — Scattering approach

Song

Wang

et al. 2021

GEOPHYSICS

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Wave-induced fluid flow (WIFF) between cracks and micro-pores is one of the major mechanisms in causing attenuation and dispersion within seismic frequency ranges. Previous non-interaction-approximation (NIA) models often assume the distribution of cracks is dilute, neglecting the influences of interacting cracks on dispersion and attenuation. To overcome this restriction, we investigate the interaction between coplanar cracks and their influences on seismic dispersion and attenuation. First, a scattering problem for a longitudinal (P) wave normally impinging on a plane with equally distributed coplanar cracks in a porous medium is solved using integral transform approach. Then, based on the solution, an effective wavenumber is derived for P-wave propagation in a porous material with coplanar cracks. It is found that the magnitude of dispersion and attenuation can significantly increase when the spacing between adjacent cracks decreases even if the crack density is unchanged. Moreover, frequency-dependent asymptotic behavior of inverse quality factor is also different from that of the NIA models at frequencies lower than the WIFF relaxation frequency. Specifically, the inverse quality factor scales with the square root of frequency at low frequencies. When the spacing between adjacent cracks is large, an additional frequency-dependent scale occurs at relatively higher frequencies (but still lower than the WIFF relaxation frequency) with inverse quality factor scales with the first power of frequency. When the spacing becomes much larger so that the interaction between the adjacent cracks is negligible, the present model exactly reduces to a NIA model for a distribution of aligned slit cracks and the first power scale can prevail attenuation within low frequencies.

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Computation of Wave Attenuation and Dispersion, by Using Quasi-Static Finite Difference Modeling Method in Frequency Domain

Abstract: In seismology, seismic numerical modeling is regarded as a useful tool to interpret seismic responses. The presence of sub-

Cited by 3 publications

References 31 publications

Theory and Application of Geostatistical Inversion: A Facies-Constrained MCMC Algorithm

Theory and Application of Geostatistical Inversion: A Facies-Constrained MCMC Algorithm

Numerical simulation and modeling of a poroelastic media for detection and discrimination of geo-fluids using finite difference method

Attenuation and dispersion of P-waves in fluid-saturated porous rocks with a distribution of coplanar cracks — Scattering approach

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