Phase-Shifted Based Numerical Method for Modeling Frequency-Dependent Effects on Seismic Reflections

Chen, Xuehua; Qi, Yadong; He, Xin; He, Zhenhua; Chen, Hui

doi:10.1007/s00024-016-1290-3

Cited by 6 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, to simulate the frequency‐dependent seismic responses associated with fluid‐saturated reservoirs, we design a gas‐saturated permeable reservoir and use the diffusive and viscous wave equation (He et al ., 2008; Chen et al ., 2013, 2016) to synthesize seismic records. This consideration can accurately reveal the energy attenuation characteristics for seismic waves pass through hydrocarbon reservoirs.…”

Section: Discussionmentioning

confidence: 93%

“…To model the effects of velocity dispersion and amplitude attenuation related to the fluid‐saturated reservoirs, we employ numerical simulation method based on the diffusive and viscous wave equation (DVWE) (He et al ., 2008; Chen et al ., 2013, 2016) to produce the seismic records. Because the DVWE method takes the comprehensive contribution of the velocity dispersion into account, we first calculate the frequency‐dependent velocity of the fluid‐saturated reservoir according to the theory proposed by Chapman et al .…”

Section: Examplesmentioning

confidence: 99%

See 1 more Smart Citation

A new energy density calculation method for reservoir delineation using seismic low‐frequency signal

Luo

Chen

et al. 2020

Geophysical Prospecting

Self Cite

View full text Add to dashboard Cite

In comparison to high‐frequency signals, low‐frequency seismic signals suffer less from scattering and intrinsic attenuation during wave propagation, penetrate deeper strata and thus can provide more energy information related to the hydrocarbon reservoirs. Based on the asymptotic representation for the frequency‐dependent reflections in the fluid‐saturated pore‐elastic media, we first derive a novel equation of the reservoir energy density and present an efficient workflow to calculate the reservoir energy density using low‐frequency seismic data. Then, within a low‐frequency range (from 1 to 30 Hz), we construct an objective function to determine the optimal frequency, using the energy densities calculated from the post‐stack seismic traces close to the wells. Next, we can calculate the reservoir energy density using the instantaneous spectra of optimal frequency at the low‐frequency end of the seismic spectrum. Tests on examples for synthetic and field data demonstrate that the proposed reservoir energy density can produce high‐quality images for the fluid‐saturated reservoirs, and it produces less background artefacts caused by elastic layers. This method provides a new way to detect the location of hydrocarbon reservoirs and characterize their spatial distribution.

show abstract

Section: Discussionmentioning

confidence: 93%

Section: Examplesmentioning

confidence: 99%

A new energy density calculation method for reservoir delineation using seismic low‐frequency signal

Luo

Chen

et al. 2020

Geophysical Prospecting

Self Cite

View full text Add to dashboard Cite

show abstract

“…The model parameters are given in Table 1. We perform the forward modeling and migration to produce the synthetic seismic records (Figure 1B) by employing the DVWE (diffusive and viscous wave equation)-based method (He et al, 2008;Chen et al, 2013b;Chen et al, 2016). In the modeling, the frequencydependent velocity of the gas-saturated reservoir is calculated by the theory proposed by Chapman et al (2003).…”

Section: The Application To Synthetic and Field Data Examples Synthet...mentioning

confidence: 99%

“…So extracting the fluid mobility using frequency-dependent information of seismic data is of great importance for reservoir delineation. Evidence from several studies indicated that the frequency-dependent seismic responses induced by the velocity dispersion and amplitude attenuation occur when the seismic waves pass through the hydrocarbon saturated porous rocks (Chapman et al, 2003;Batzle et al, 2006;Chapman et al, 2006;Gurevich et al, 2010;Dupuy and Stovas, 2013;Chen et al, 2016;Qin et al, 2018). Frequency-dependent effects associated with hydrocarbon-bearing reservoirs provide theoretical supports for computing reservoir-related attributes using seismic data.…”

Section: Introductionmentioning

confidence: 99%

A New Fluid Mobility Calculation Method Based on Frequency-Dependent AVO Inversion

Luo

Chen

Duan³

et al. 2022

Front. Earth Sci.

Self Cite

View full text Add to dashboard Cite

Fluid mobility (i.e., permeability to viscosity ratio) is a key parameter that can evaluate the reservoir permeability and delineate the fluid characteristic in hydrocarbon-saturated reservoirs. Based on the asymptotic representation for the frequency-dependent reflections in the fluid-saturated pore-elastic media and frequency-dependent AVO inversion, we propose a novel method for estimating fluid mobility from poststack seismic data. First, we establish the relationship between fluid mobility and frequency-dependent AVO analysis. Then, the fluid mobility is estimated using the theory of frequency-dependent AVO inversion. Tests on synthetic data reveal that the fluid mobility shows excellent imageability for the fluid-saturated reservoirs and can accurately delineate the spatial distribution shape of the gas-saturated reservoir. The application of field data examples demonstrates that the fluid mobility calculated by the proposed method produces less background interferences caused by elastic layers compared with the conventional frequency-dependent fluid indicator. The frequency-dependent fluid mobility takes into account the dispersion features associated with hydrocarbon reservoirs, and it provides a new way to detect the location of hydrocarbon reservoirs and characterize their spatial distribution.

show abstract

Seismic numerical analysis for partially gas-saturated porous rocks by an extended local Rytov Fourier approximation based on the diffusion-viscous theory

Jiang

Chen

et al. 2019

Journal of Petroleum Science and Engineering

View full text Add to dashboard Cite

Phase-Shifted Based Numerical Method for Modeling Frequency-Dependent Effects on Seismic Reflections

Cited by 6 publications

References 22 publications

A new energy density calculation method for reservoir delineation using seismic low‐frequency signal

A new energy density calculation method for reservoir delineation using seismic low‐frequency signal

A New Fluid Mobility Calculation Method Based on Frequency-Dependent AVO Inversion

Seismic numerical analysis for partially gas-saturated porous rocks by an extended local Rytov Fourier approximation based on the diffusion-viscous theory

Contact Info

Product

Resources

About