A Logging Data Based Method for Evaluating the Fracability of a Gas Storage in Eastern China
Abstract
:1. Introduction
2. Fracability Evaluation Method
2.1. Energy Brittleness Index Method
2.1.1. Pre-Peak Fragility Index
2.1.2. Post-Peak Brittleness Index
2.1.3. Combined Brittleness Index
2.1.4. Calculation of Brittleness Index from Logging Data
- (1)
- Velocity conversion of longitudinal and transverse sound waves
- (2)
- Effective stress coefficient (Biot’s coefficient)
- (3)
- Mud content
- (4)
- Uniaxial tensile strength of rocks
- (5)
- Formation pore pressure
- (6)
- Vertical stress and maximum and minimum horizontal principal stresses
2.2. Brittle Ground Stress Fracability Index
3. Results and Discussion
4. Conclusions
- (1)
- As the formation depth increases, the elastic modulus, yield modulus, and post-peak modulus decrease, resulting in a decrement of reservoir brittleness and fracability, which is more unfavorable for the refracturing of underground gas storage.
- (2)
- With the increment of formation depth, the fracability index decreases. The fracability index mainly stays within the range from 0.45 to 0.65, which indicates that the overall reservoir in this area has fracturing potential.
- (3)
- By calculating the fracability index based on three-dimensional Kriging interpolation, it can be seen from the fracability contour map in the X, Y, and Z directions that the fracability index is uniformly distributed in the XZ plane but non-uniformly distributed in the XY and YZ planes. Moreover, the fracability index has a negative correlation with the X and Z values.
- (4)
- Based on the well logging data and calculation results of rock physical parameters related to the XX-2 well, it can be concluded that its elastic modulus primarily ranges from 16.16 GPa to 47.02 GPa, and the Poisson’s ratio is mainly concentrated between 0.111 and 0.163. In addition, the mud content is mainly concentrated between 0.018 and 0.324, and the fracability index is mainly distributed around 0.45.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Huang, F.; Huang, L.; Zhu, Z.; Zhang, M.; Zhang, W.; Jiang, X. A Logging Data Based Method for Evaluating the Fracability of a Gas Storage in Eastern China. Sustainability 2024, 16, 3165. https://doi.org/10.3390/su16083165
Huang F, Huang L, Zhu Z, Zhang M, Zhang W, Jiang X. A Logging Data Based Method for Evaluating the Fracability of a Gas Storage in Eastern China. Sustainability. 2024; 16(8):3165. https://doi.org/10.3390/su16083165
Chicago/Turabian StyleHuang, Famu, Lei Huang, Ziheng Zhu, Min Zhang, Wenpeng Zhang, and Xingwen Jiang. 2024. "A Logging Data Based Method for Evaluating the Fracability of a Gas Storage in Eastern China" Sustainability 16, no. 8: 3165. https://doi.org/10.3390/su16083165