View in EDS

Influence of macroscopic natural fractures group on fractures network propagation in deep shale gas reservoir.

Saved in:

Bibliographic Details
Title:	Influence of macroscopic natural fractures group on fractures network propagation in deep shale gas reservoir.
Authors:	Lin, Ran¹ (AUTHOR), Yu, Zhihao¹ (AUTHOR), Zhao, Jinzhou¹ (AUTHOR) zhaojz_y_swpu@126.com, Ren, Lan¹ (AUTHOR), Peng, Sirui¹ (AUTHOR), Wu, Jianfa² (AUTHOR), Zeng, Bo² (AUTHOR), Song, Yi² (AUTHOR), Wu, Jianjun³ (AUTHOR)
Source:	Petroleum Science & Technology. 2024, Vol. 42 Issue 25, p4986-5004. 19p.
Subjects:	Shale gas reservoirs, Crack propagation, Gas wells, Oil shales, Fracturing fluids
Abstract:	The formation of macroscopic natural fractures in deep shale reservoirs exhibits significant variability and phenomena, such as severe fracturing fluid loss during fracturing and pressure channeling between wells occur frequently and significantly impact the fracturing effect of shale gas wells. We developed a model for the propagation of fracture networks in deep shale reservoirs, taking into account the presence of macroscopic natural fractures, and studied the sensitivity factors of macroscopic natural fractures group characteristic parameters to the stimulated reservoir volume (SRV). The influence of macroscopic natural fractures group characteristic parameters on SRV was quantitatively investigated. The SRV has a positive correlation with the distance between natural fracture groups and perforation positions, as well as the intensity of the macroscopic natural fractures group. Conversely, the density and approach angle of macroscopic natural fracture groups have a negative correlation with the SRV. The degree of correlation between the natural fracture group characteristic parameters and SRV is the distance between the natural fracture group and perforation positions > density > intensity > approach angle. Performing simulation of the propagation of fracture networks in deep shale, while taking into account the impact of macroscopic natural fractures group can enhance fracturing efficiency, lower fracture-related risks. [ABSTRACT FROM AUTHOR]
	Copyright of Petroleum Science & Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Engineering Source

Description
Abstract:	The formation of macroscopic natural fractures in deep shale reservoirs exhibits significant variability and phenomena, such as severe fracturing fluid loss during fracturing and pressure channeling between wells occur frequently and significantly impact the fracturing effect of shale gas wells. We developed a model for the propagation of fracture networks in deep shale reservoirs, taking into account the presence of macroscopic natural fractures, and studied the sensitivity factors of macroscopic natural fractures group characteristic parameters to the stimulated reservoir volume (SRV). The influence of macroscopic natural fractures group characteristic parameters on SRV was quantitatively investigated. The SRV has a positive correlation with the distance between natural fracture groups and perforation positions, as well as the intensity of the macroscopic natural fractures group. Conversely, the density and approach angle of macroscopic natural fracture groups have a negative correlation with the SRV. The degree of correlation between the natural fracture group characteristic parameters and SRV is the distance between the natural fracture group and perforation positions > density > intensity > approach angle. Performing simulation of the propagation of fracture networks in deep shale, while taking into account the impact of macroscopic natural fractures group can enhance fracturing efficiency, lower fracture-related risks. [ABSTRACT FROM AUTHOR]
ISSN:	10916466
DOI:	10.1080/10916466.2023.2253264