Preprint Article Version 1 This version is not peer-reviewed

A Quantitative Prediction Method for Fracture Density Based on the Equivalent Medium Theory

Version 1 : Received: 13 April 2018 / Approved: 16 April 2018 / Online: 16 April 2018 (11:33:54 CEST)

How to cite: Sun, L.; Peng, S.; He, D.; Wang, S. A Quantitative Prediction Method for Fracture Density Based on the Equivalent Medium Theory. Preprints 2018, 2018040208 (doi: 10.20944/preprints201804.0208.v1). Sun, L.; Peng, S.; He, D.; Wang, S. A Quantitative Prediction Method for Fracture Density Based on the Equivalent Medium Theory. Preprints 2018, 2018040208 (doi: 10.20944/preprints201804.0208.v1).

Abstract

Fracture density, a critical parameter of unconventional reservoirs, can be used to evaluate potential of unconventional reservoirs and location of production wells. Many technologies, such as amplitude variation with offset and azimuth (AVOA) technology, vertical seismic profiling (VSP) technology, and multicomponent seismic technology, are generally used to predict fracture of reservoirs. they can qualitatively predict fracture by analyzing seismic attributes, including seismic wave amplitudes, seismic wave velocities, which are sensitive to fracture. However, it is important to quantitatively describe fracture of reservoirs. In this study, based on a double-layer model, the relationships between fracture density and the double-layer model’s physical parameters, such as velocity of fast shear-wave, velocity of slow shear-wave, and density, were established, and then a powerful quantitative prediction method for fracture density was proposed dramatically. Afterwards, the Hudson model for crack was used to test the applicability of the method. The result shown that the quantitative prediction method for fracture density can be applied suitable to the Hudson model for crack. Finally, the result of validation models indicated that the method can predict fracture density effective, in which absolute relative deviation (ARD) were less than 5% and root-mean-square error (RMSE) was 4.88×10-3.

Subject Areas

fracture density; double-layer model; unconventional reservoirs; multicomponent seismic; shear-wave splitting

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