The brittleness index (BI) is a key indicator for hydraulic fracture in shale reservoir development. At present, it is mainly estimated by elastic properties or mineral contents. But it remains controversial that which estimation is suitable for shale reservoir. Therefore, we propose a BI estimation workflow guided by triaxial fracture experiments. Firstly, according to a good BI indicator from triaxial fracture experiments, we choose a more suitable estimation method between elastic properties and mineral contents. Then, we use the selected BI as output, velocities and density as input to establish a nonlinear model with Relevance Vector Machine (RVM) algorithm. And that model is applied in logging BI estimation. The application of this workflow in a gas field from southwest China shows that triaxial fracture experiments can effectively screen the more suitable BI estimation method, and the BI estimated by mineral contents is selected. Compared to Multiple Linear Regression, RVM has a higher correlation coefficient and higher prediction accuracy. Above all, the BI estimation workflow for shale reservoir in this paper is reliable in logging BI estimation, as well as seismic data, can be an important guidance for field production of unconventional shale reservoirs.
Skip Nav Destination
SEG/AAPG International Meeting for Applied Geoscience & Energy
August 26–29, 2024
Houston, Texas
The brittleness index estimation of shale reservoir guided by triaxial fracture experiments
Li Min;
Li Min
SINOPEC Geophysical Research Institute, Co., Ltd.
Search for other works by this author on:
Wang Yang;
Wang Yang
SINOPEC Geophysical Research Institute, Co., Ltd.
Search for other works by this author on:
Shen Hui;
Shen Hui
SINOPEC Geophysical Research Institute, Co., Ltd.
Search for other works by this author on:
Liu Weihua;
Liu Weihua
SINOPEC Geophysical Research Institute, Co., Ltd.
Search for other works by this author on:
Li Chengcheng;
Li Chengcheng
SINOPEC Geophysical Research Institute, Co., Ltd.
Search for other works by this author on:
Zhang Fangnan
Zhang Fangnan
SINOPEC Geophysical Research Institute, Co., Ltd.
Search for other works by this author on:
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, Houston, Texas, August 2024.
Paper Number:
SEG-2024-4093918
Published:
August 26 2024
Citation
Min, Li, Yang, Wang, Hui, Shen, Weihua, Liu, Chengcheng, Li, and Zhang Fangnan. "The brittleness index estimation of shale reservoir guided by triaxial fracture experiments." Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, Houston, Texas, August 2024. doi: https://doi.org/10.1190/image2024-4093918.1
Download citation file:
Sign in
Don't already have an account? Register
Personal Account
You could not be signed in. Please check your username and password and try again.
Captcha Validation Error. Please try again.
Pay-Per-View Access
$9.00
Advertisement
5
Views
Advertisement
Suggested Reading
Advertisement