AVAZ inversion for fracture weakness based on three-term Rüger equation

Wang, Tieyi, Yuan, Sanyi, Shi, Peidong, Shuai, Da, Luo, Chunmei and Wang, Shangxu 2019. AVAZ inversion for fracture weakness based on three-term Rüger equation. Journal of Applied Geophysics 162 , pp. 184-193. 10.1016/j.jappgeo.2018.12.013

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Abstract

Fracture is one of the most important migration channels and accumulation spaces in hydrocarbon reservoirs. For unconventional hydrocarbon reservoirs, especially for shale reservoirs, the accurate prediction of fracture distribution can help improve the hydrocarbon production. With the development of seismic monitoring techniques, wide-azimuth acquisition and processing techniques are being increasingly used to describe the distribution of subsurface factures. The P-wave AVAZ inversion based on seismic anisotropy is one of the most important and commonly used methods for fracture prediction. In this paper, we develop an inversion algorithm to acquire the normal and tangential fracture weakness based on P-wave reflection anisotropy and wide-azimuth seismic data. The newly developed algorithm can effectively utilize the amplitude information of large offset data to retrieve the fracture weakness which is related to the fracture density and fluid fillings. Two synthetic data examples show that the fracture weakness can be accurately estimated by using the newly proposed AVAZ inversion method. Our inversion method can obtain reliable fracture identification results even when seismic data are contaminated by random noise, which demonstrates the reliability and noise resistance of the inversion method. Finally, the method is successfully applied to a 3-D physical model data with an equivalent area of 100 km2. The predicted fracture distribution result is consistent with the designed physical model and is highly related to the locally geological structures of the target reservoir. Through synthetic and physical model data studies, we demonstrate that the proposed inversion method is an effective approach to directly evaluate the fracture distribution in the reservoir.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Earth and Environmental Sciences
Publisher:	Elsevier
ISSN:	0926-9851
Date of Acceptance:	22 December 2018
Last Modified:	10 Dec 2024 18:15
URI:	https://orca.cardiff.ac.uk/id/eprint/174105

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