Brittleness index analysis of coal samples
Autor: | Yaping Huang, Min Zhang, Shouhua Dong, Pingsong Zhang, Haibo Wu |
---|---|
Rok vydání: | 2019 |
Předmět: |
Materials science
010504 meteorology & atmospheric sciences business.industry Wave velocity Mineralogy Modulus Structure type 010502 geochemistry & geophysics Poisson distribution 01 natural sciences symbols.namesake Geophysics Brittleness symbols Fracture (geology) Coal business Anisotropy 0105 earth and related environmental sciences |
Zdroj: | Acta Geophysica. 67:789-797 |
ISSN: | 1895-7455 1895-6572 |
DOI: | 10.1007/s11600-019-00291-5 |
Popis: | The brittleness index (BI), which serves as a key reference for reservoir fracturing, is also an important quantitative index for the evaluation of coal-bed methane (CBM) reservoirs. To address the lack of research regarding this application of the BI, we measured the ultrasonic wave velocity of 10 coal samples collected from the Qinshui Basin, China. We then calculated the BI in three test directions, i.e., BI(90°), BI(45°), and BI(0°), as well as the BI anisotropy value (ABI) using the dynamic elastic method. Analysis of the calculated results showed that BI(90°) generally had the highest values and that BI(45°) was close to BI(0°). The ABI showed a positive correlation with the dynamic Young’s modulus anisotropy value, dynamic Poisson’s ratio anisotropy value, S-wave velocity anisotropy value, and the ratio of P-wave and S-wave velocity anisotropy values. However, the ABI had an unclear correlation with the P-wave velocity anisotropy value. Further analysis of the correlation between the BI and two other reservoir parameters (coal structure type and fracture development) revealed that samples with high BI values generally corresponded to primary or fragmented types of coal and also had low Poisson’s ratios, which indicates undeveloped fractures, while samples with low BI values corresponded to granulated types of coal and had high Poisson’s ratios, which indicates developed fractures. We investigated these correlations in order to understand the multiparameter constraints and their combined application in brittleness evaluations, which could reduce risk and improve the precision of ideal brittleness identification in CBM reservoirs. |
Databáze: | OpenAIRE |
Externí odkaz: |