Seismic structure and texture analyses for fractured reservoir characterization: An integrated workflow

Gao, Dengliang; Duan, Taizhong

doi:10.1190/int-2016-0238.1

Cited by 7 publications

(2 citation statements)

References 59 publications

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“…The analysis of actual data shows that in the marlstone fractures developed in the study area, the parameters of primary wave time difference, shear wave time difference and Poisson's ratio all show high values, while the Lame constant, bulk modulus and shear modulus are all high. The seismic wave group is characterized by weak reflections, increased reflection events and rapid lateral changes, and has obvious characteristics of fracture anisotropy (Gao and Duan 2017). The fracture tectonic stress field analysis method is based on the theory of tectonic mechanics, using the geometric information and lithology information of the formation to estimate the stress field of the formation, including the curvature tensor, deformation tensor and stress field tensor of the formation, so as to obtain.…”

Section: Seismic Response Patternsmentioning

confidence: 99%

A study on the characteristics of seismic wave propagation in fractured marlstone reservoirs based on mechanical principles

Zhang

Liu

et al. 2021

Arab J Geosci

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Marlstone reservoirs are closely related to the degree of fracture development and their hydrocarbon accumulation are also controlled by the distribution of fractures. Hence, the prediction of fracture development zones is very important to the discovery of fractured oil and gas reservoirs. Tectonic movements and their intensities are one of the key factors affecting the formation of fracture systems and the distribution of tectonic stress field has great impact on the generation of fractures. Therefore, taking marginal subsags in the Jiyang Depression, Eastern China, as an example, this paper studied the characteristics of seismic wave propagation in fractured marlstone reservoirs based on mechanical principles. This study proposed the equivalent geological model and elastic characterization parameters for the fractured marlstone reservoirs in study area, analyzed the seismic response patterns, anisotropy characteristics, and seismic wave-field distribution of the marginal subsags in the Jiyang Depression, discussed the influences of fracture filling fluid, density, inclination, orientation, and layer thickness on the characteristics of seismic wave propagation in fractured marlstone reservoirs, and finally explored the shear wave splitting phenomenon and the exploration and development significance of the seismic wave propagation in fractured marlstone reservoirs. The study results show that the fracture filling fluid can lead to the dispersion and attenuation of seismic wave propagating in the medium, and rock saturated with fluid can exhibit frequency-dependent attenuation and dispersion due to wave-induced fluid flow between pores and fractures. The change of fracture density can make seismic wave appear anisotropic and biphasic and the difference between the high and low frequency of the longitudinal wave phase velocity becomes more and more obvious. The change of fracture inclination and orientation can cause the shear wave splitting phenomenon, in which the fast shear wave polarized parallel to the fracture with a fast velocity and a slow attenuation and the slow shear wave is polarized in the direction perpendicular to the crack with slow velocity and fast attenuation. The change of fracture layer thickness can make because the change of phase velocity and attenuation and the larger the thickness of the fracture layer is, the greater the difference between the reflection amplitude of the bottom interface and that of the non-fracture layer is. The study of characteristics of seismic wave propagation in fractured marlstone reservoirs can effectively obtain the multi-directional shear wave impedance and then fine characterize the fracture strike and density of tight oil fractured reservoir, which has important theoretical research and practical exploration significance. The study results provide a reference for further researches on the characteristics of seismic wave propagation in fractured marlstone reservoirs based on mechanical principles.

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Section: Seismic Response Patternsmentioning

confidence: 99%

A study on the characteristics of seismic wave propagation in fractured marlstone reservoirs based on mechanical principles

Zhang

Liu

et al. 2021

Arab J Geosci

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“…The basics of computing waveform model regression is outlined in section 4.1. Based on the regular waveform model regression algorithm, a dynamic waveform model regression algorithm using multiple model waveforms are used to generate a spectral 3-D volume (Gao 2011(Gao , 2017. To create the volume, an interpreted horizon must be selected.…”

Section: Well-data Calibration Methodologymentioning

confidence: 99%

Seismic Texture Applied to Well Calibration and Reservoir Property Prediction in the North Central Appalachian Basin

Gieger¹

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Enhancing seismic interpretation capabilities often relies on the application of object oriented attributes to better understand subsurface geology. This research intends to extract and calibrate seismic texture attributes with well log data for better characterization of the Marcellus gas shale in north central Appalachian basin. Seismic texture refers to the lateral and vertical variations in reflection amplitude and waveform at a specific sample location in the 3-D seismic domain. Among various texture analysis algorithms, here seismic texture is characterized via an algorithm called waveform model regression utilizing model-derived waveforms for reservoir property calibration. Altering the calibrating waveforms facilitates the conversion of amplitude volumes to purpose-driven texture volumes to be calibrated with well logs for prediction of reservoir properties in untested regions throughout the reservoir. Seismic data calibration is crucial due to the resolution and uncertainty in the interpretation of the data. Because texture is a more unique descriptor of seismic data than amplitude, it provides more statistically and geologically significant correlations to well data. Our new results show that seismic texture is a viable attribute not only for reservoir feature visualization and discrimination, but also for reservoir property calibration and prediction. Comparative analysis indicates that the new results help better define seismic signal properties that are important in predicting the heterogeneity of the unconventional reservoir in the basin. Provisions of this research include a case study applying seismic texture attributes and an assessment of the viability of the attributes to be calibrated with well data from the Marcellus Shale in the north central Appalachian basin. Examples from this study will provide insight in its capabilities in practical applications of seismic texture attributes in unconventional reservoirs in the Appalachian basin and other basins around the world. iii ACKNOWLEDGMENTS I would like to thank Dr. Dengliang Gao for advising this research and providing seismic attribute datasets derived from his computer algorithms that made this research possible. I would also like to thank Dr. Tom Wilson and Dr. Tim Carr for serving on my committee and providing intellectual support and programmatic guidance for this project. Special thanks are owed to the Department of Geology and Geography at West Virginia University for providing the opportunity to complete this project and providing me a position as a teaching assistant position. I also would like to thank Energy Corporation of America and Cole Bowers for providing the data used in this research. iv

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Developing a seismic texture analysis neural network for machine-aided seismic pattern recognition and classification

Gao

AlRegib

2019

Geophysical Journal International

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Seismic structure and texture analyses for fractured reservoir characterization: An integrated workflow

Cited by 7 publications

References 59 publications

A study on the characteristics of seismic wave propagation in fractured marlstone reservoirs based on mechanical principles

A study on the characteristics of seismic wave propagation in fractured marlstone reservoirs based on mechanical principles

Seismic Texture Applied to Well Calibration and Reservoir Property Prediction in the North Central Appalachian Basin

Developing a seismic texture analysis neural network for machine-aided seismic pattern recognition and classification

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