Seismic low‐frequency effects in monitoring fluid‐saturated reservoirs

Korneev, Valeri; Goloshubin, Gennady; Daley, Thomas M.; Silin, Dmitriy

doi:10.1190/1.1707072

Cited by 228 publications

(123 citation statements)

References 14 publications

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“…The observed amplitude loss is explained by recent wave-propagation theory (Korneev et al 2004), which indicates that new frequency and angle dependent attributes are promising tools for more quantitatively imaging reservoir structure and estimating reservoir porosity and permeability.…”

Section: A351 P-wave Azimuthal Velocity and Frequency Anisotropymentioning

confidence: 99%

“…The low value of the quality factor, Q, for the low frequency waves is a characteristic feature of permeable fluid-bearing layers (Korneev et al 2004). Goloshubin et al (2001) and Korneev et al (2004) analyzed VSP data recorded at a natural gas storage field in Indiana, where due to gas injection in the summer and withdrawal in the winter, the reservoir fluid changed seasonally.…”

Section: A351 P-wave Azimuthal Velocity and Frequency Anisotropymentioning

confidence: 99%

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Data Assimilation Tools for CO2 Reservoir Model Development ? A Review of Key Data Types, Analyses, and Selected Software

Rockhold¹,

Sullivan²,

Murray³

et al. 2009

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Printed in the United States of America AbstractPacific Northwest National Laboratory (PNNL) has embarked on an initiative to develop world-class capabilities for performing experimental and computational analyses associated with geologic sequestration of carbon dioxide. The ultimate goal of this initiative is to provide science-based solutions for helping to mitigate the adverse effects of greenhouse gas emissions. This Laboratory-Directed Research and Development (LDRD) initiative currently has two primary focus areas-advanced experimental methods and computational analysis. The experimental methods focus area involves the development of new experimental capabilities, supported in part by the U.S. Department of Energy's (DOE) Environmental Molecular Science Laboratory (EMSL) housed at PNNL, for quantifying mineral reaction kinetics with CO 2 under high temperature and pressure (supercritical) conditions. The computational analysis focus area involves numerical simulation of coupled, multi-scale processes associated with CO 2 sequestration in geologic media, and the development of software to facilitate building and parameterizing conceptual and numerical models of subsurface reservoirs that represent geologic repositories for injected CO 2 . This report describes work in support of the computational analysis focus area.The computational analysis focus area currently consists of several collaborative research projects. These are all focused on the development and application of conceptual and numerical models for geologic sequestration of CO 2 . The software being developed for this focus area is referred to as the Geologic Sequestration Software Suite or GS 3 . A wiki-based software framework is being developed to support GS 3 . This report summarizes work performed in FY09 on one of the LDRD projects in the computational analysis focus area. The title of this project is Data Assimilation Tools for CO 2 Reservoir Model Development. Some key objectives of this project in FY09 were to assess the current state-of-theart in reservoir model development, the data types and analyses that need to be performed in order to develop and parameterize credible and robust reservoir simulation models, and to review existing software that is applicable to these analyses. This report describes this effort and highlights areas in which additional software development, wiki application extensions, or related GS 3 infrastructure development may be warranted. v vii Acknowledgments

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Section: A351 P-wave Azimuthal Velocity and Frequency Anisotropymentioning

confidence: 99%

Section: A351 P-wave Azimuthal Velocity and Frequency Anisotropymentioning

confidence: 99%

Data Assimilation Tools for CO2 Reservoir Model Development ? A Review of Key Data Types, Analyses, and Selected Software

Rockhold¹,

Sullivan²,

Murray³

et al. 2009

View full text Add to dashboard Cite

show abstract

“…Korneev [48] successfully simulated the low frequency effects of fluid-saturated layers with the 1D diffusive-viscous wave equation theory, based on laboratory and field data. He explained that very low values of Q (quality factor) are the result of internal diffusive losses caused by fluid flow.…”

Section: Model Testmentioning

confidence: 99%

High-Precision Spectral Decomposition Method Based on VMD/CWT/FWEO for Hydrocarbon Detection in Tight Sandstone Gas Reservoirs

Chen

Zhou

et al. 2017

Energies

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Seismic time-frequency analysis methods can be used for hydrocarbon detection because of the phenomena of energy and abnormal attenuation of frequency when the seismic waves travel across reservoirs. A high-resolution method based on variational mode decomposition (VMD), continuous-wavelet transform (CWT) and frequency-weighted energy operator (FWEO) is proposed for hydrocarbon detection in tight sandstone gas reservoirs. VMD can decompose seismic signals into a set of intrinsic mode functions (IMF) in the frequency domain. In order to avoid meaningful frequency loss, the CWT method is used to obtain the time-frequency spectra of the selected IMFs. The energy separation algorithm based on FWEO can improve the resolution of time-frequency spectra and highlight abnormal energy, which is applied to track the instantaneous energy in the time-frequency spectra. The difference between the high-frequency section and low-frequency section acquired by applying the proposed method is utilized to detect hydrocarbons. Applications using the model and field data further demonstrate that the proposed method can effectively detect hydrocarbons in tight sandstone reservoirs, with good anti-noise performance. The newly-proposed method can be used as an analysis tool to detect hydrocarbons.

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“…It is well-known that both the transmission and reflection coefficients from a fluid-saturated porous medium are functions of frequency [19,16,39,13]. Recently, low-frequency signals were successfully used in obtaining high-resolution images of oil and gas reservoirs [20,21,11] and in monitoring underground gas storage [25]. Therefore, understanding the behavior of the reflection coefficient at the low-frequency end of the seismic spectrum is of special importance.…”

Section: Introductionmentioning

confidence: 99%

Low-Frequency Asymptotic Analysis of Seismic Reflection from a Fluid-Saturated Medium

et al. 2006

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Abstract. A low-frequency asymptotic representation of the reflection of seismic signal from a fluid-saturated porous medium has been obtained.First, derivation of the main equations of the theory of poroelasticity and the pressure diffusion equation, which is routinely used in well-test analysis, has been reviewed. It has been observed that both models can be derived from the basic principles of filtration theory. In addition, Biot's tortuosity parameter has been related to the relaxation time in the dynamic Darcy's law.Second, the reflection of a low-frequency signal from a plane interface between elastic and elastic fluid-saturated porous media has been studied. An asymptotic scaling of the frequency-dependent component of the reflection coefficient has been obtained. Namely, it has been established that this component is asymptotically proportional to the square root of the product of the reservoir fluid mobility and the frequency of the signal. The dependence of this scaling on the dynamic Darcy's low relaxation time and the Biot's tortuosity factor has been investigated as well.

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Seismic low‐frequency effects in monitoring fluid‐saturated reservoirs

Cited by 228 publications

References 14 publications

Data Assimilation Tools for CO2 Reservoir Model Development ? A Review of Key Data Types, Analyses, and Selected Software

Data Assimilation Tools for CO2 Reservoir Model Development ? A Review of Key Data Types, Analyses, and Selected Software

High-Precision Spectral Decomposition Method Based on VMD/CWT/FWEO for Hydrocarbon Detection in Tight Sandstone Gas Reservoirs

Low-Frequency Asymptotic Analysis of Seismic Reflection from a Fluid-Saturated Medium

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