Inversion of elastic properties of fractured rocks from AVOAz data Marcellus Shale example

Far, Mehdi E.; Bob, Hardage; Wagner, Don

doi:10.1190/segam2013-0441.1

Cited by 4 publications

(5 citation statements)

References 14 publications

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“…Previous studies on the same data set confirm that the fast direction is approximately 80°which is in agreement with what PS-wave analysis suggests (e.g., Gaiser and Verm, 2012;Far et al, 2013a). FMI data ( Figure 9) also show that orientations of dominant natural fractures are almost 80°.…”

Section: Prestack Data Analysissupporting

confidence: 90%

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Interpretation of fractures and stress anisotropy in Marcellus Shale using multicomponent seismic data

Far

Hardage

2014

Interpretation

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Using a data set from the Marcellus Shale, we evaluated the advantages of multicomponent seismic data for fracture and anisotropy studies over conventional P-wave data. Using traveltime and amplitude analysis on pre- and poststack seismic data, we concluded that PS-waves can provide more accurate information about the location, orientation, and intensity of natural fractures and stress anisotropy than P-waves. Our analysis indicated that regional stress was the main cause of velocity anisotropy. Amplitude variation with offset and azimuth appeared to be more useful for fracture studies, whereas traveltime variations (especially PS-waves) provided a better indication of regional stress orientations. Principal directions for amplitudes and traveltimes of PP- and PS-waves were different. Misalignment of PP- and PS-waves principal directions suggested that the simplest, most realistic anisotropy model for the fractured Marcellus is monoclinic symmetry.

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Section: Prestack Data Analysissupporting

confidence: 90%

“…In other words, although traveltimes show clearer trends than amplitudes, they are not sensitive enough to fractures. On the other hand, amplitudes could be more reliable for fracture parameter determination (Far et al, 2013a).…”

Section: Prestack Data Analysismentioning

confidence: 99%

Interpretation of fractures and stress anisotropy in Marcellus Shale using multicomponent seismic data

Far

Hardage

2014

Interpretation

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“…Far et al . () showed successful fracture parameter inversion results using a theory developed for P‐waves, in the same way as described here, based on a linearized P‐wave reflectivity equation. Selecting an optimal offset range for real data experiments using PS‐waves needs further investigation.…”

Section: Theorymentioning

confidence: 78%

“…Monte Carlo simulation is recommended for real data experiments as it can reveal the robustness of inversion (Far et al . ).…”

Section: Resultsmentioning

confidence: 97%

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Fracture characterization using converted waves

Far

Hardage

2015

Geophysical Prospecting

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A B S T R A C TWe present a method for inversion of fracture compliance matrix components from wide-azimuth noisy synthetic PS reflection data and quantitatively show that reflection amplitude variations with offset and azimuth for converted PS-waves are more informative than P-waves for fracture characterization. We consider monoclinic symmetry for fractured reservoir (parameters chosen from Woodford Shale), which can be formed by two or more sets of vertical fractures embedded in a vertically transverse isotropic background. Components of effective fracture compliance matrices for a medium with monoclinic symmetry are related to the characteristics of the fractured medium. Monte Carlo simulation results show that inversion of PS reflection data is more robust than that of PP reflection data to uncertainties in our a priori knowledge (vertically transverse isotropic parameters of unfractured rock) than PP reflection data. We also show that, while inversion of PP reflections is sensitive to contrasts in elastic properties of upper and lower media, inversion of PS reflections is robust with respect to such contrasts.

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Nano-Scale Characterization of Organic-Rich Shale via Indentation Methods

Akono

Kabir

2016

New Frontiers in Oil and Gas Exploration

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Inversion of elastic properties of fractured rocks from AVOAz data Marcellus Shale example

Cited by 4 publications

References 14 publications

Interpretation of fractures and stress anisotropy in Marcellus Shale using multicomponent seismic data

Interpretation of fractures and stress anisotropy in Marcellus Shale using multicomponent seismic data

Fracture characterization using converted waves

Nano-Scale Characterization of Organic-Rich Shale via Indentation Methods

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