The modeling and analysis of frequency-dependent characteristics in fractured porous media

Qin, Xilin; Li, Xiangyang; Chen, Shuangquan; Liu, Yuanyuan

doi:10.1088/1742-2140/aac130

Cited by 8 publications

(2 citation statements)

References 29 publications

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“…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.

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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.

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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.

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“…Fracture development and distribution in underground rocks strongly influence rock properties, so understanding the fracture system is critical to oil and gas reservoir detection and production, groundwater resource, underground waste storage, mining, seismology and CO 2 capture and storage. Due to the heterogeneity over many scales, from micrometer cracks to hectometres fractures (Barbier et al ., 2012; Zhang et al ., 2019; Ding et al ., 2020), the characterization of carbonate reservoirs to describe the fracture network is a complex task (Luo et al ., 2017; Qin et al ., 2018b; Meng et al ., 2020). Fluid permeability, which is associated with pore size and fracture size, is also dependent on the fracture scale in fractured rocks (Johnson et al ., 1986; Katz and Thompson, 1986; Bernabé, 1995; Glover et al ., 2006; Walker and Glover, 2010).…”

Section: Introductionmentioning

confidence: 99%

Observation and theoretical calibration of the fluid flow mechanism of artificial porous rocks with various size fractures

Ding

Wei

et al. 2021

Geophysical Prospecting

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Fractures usually spread over various scales and strongly influence velocity and anisotropy. We investigate elastic velocity and anisotropy in rocks with fractures of different sizes. Based on synthetic rocks with controlled fracture geometries, we create a set of rocks with fracture diameter of 2, 3 and 4 mm and the fracture thickness is 0.06 mm. P‐ and S‐wave velocities are measured at 0.1 MHz, while the rocks are saturated with water and air. For a fixed measurement frequency (0.1 MHz), velocities are higher in rocks with larger fractures, while anisotropy is higher in rocks with smaller fractures, even for the same fracture density. These phenomena are associated with the wave‐induced fluid flow process. Some novel effective medium theories are adopted to calibrate with the laboratory data and analyse the anisotropy affected by the fluid flow mechanism and fracture size. The results of our study demonstrate the significant effects of fracture scale on wave responses by effective medium theories in different ways. We suggest that these scale effects should be of considerable concern in some disciplines (e.g. shear wave splitting in earth's crust and hydraulic fracture monitoring with microseismic data). Considering the scale effects of fractures, the accuracy during these investigations would be improved.

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Influence of Fracture Geometry on the Krauklis Wave in Finite Fractures

Liu

Ding

2021

J. Geotech. Geoenviron. Eng.

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The modeling and analysis of frequency-dependent characteristics in fractured porous media

Cited by 8 publications

References 29 publications

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

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

Observation and theoretical calibration of the fluid flow mechanism of artificial porous rocks with various size fractures

Influence of Fracture Geometry on the Krauklis Wave in Finite Fractures

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