# Detection of Rock Mass Defects Using Seismic Tomography
## 4 Application
### Results
Consequently, it can be inferred that the eight specified stopes (i.e., 68261\({}_{\text{down}}\), 68263E\({}_{\text{down}}\), 68263W\({}_{\text{down}}\), 68261\({}^{\text{up}}\), 68263E\({}^{\text{up}}\), 68263W\({}^{\text{up}}\), and both 45265E and 45263N) within the second section may contain goafs; conversely, all the other sixteen stopes possess confirmed goafs. 3. Based on data regarding the underground goaf areas of the third section illustrated in Figure 13, it can be observed that the physical detection result for the goaf area in stope 68342W is 81.95% lower than the historical statistical figure. In contrast, discrepancies between physical detection outcomes and historical statistics for goaf areas in other stopes do not exceed 10%. This suggests that while a goaf may exist  
Figure 16: Data distribution chart of goaf area of different stopes in sixth section, derived from the statistical analysis of historical data and physical detection, along with comparative analysis of these results. within stope 68342W in the third section, other slopes within this section possess such goofs. 4. The distribution of data from the fourth section indicates that the physical detection results for the goat area in stope 43438E\({}_{\text{down}}\) are 84.96% lower than historical statistical averages, while those for stope 68436N exceed historical averages by 12.33%. Furthermore, discrepancies between physical detection results and historical statistics for goat areas in other slopes do not surpass 10%. Consequently, it can be inferred that a goat likely exists in slope 43438E\({}_{\text{down}}\) within the fourth section, and it is confirmed that goofs are present in other slopes of this section. 5. Figure 15 shows that the discrepancy between the physical detection results and the historical statistical data regarding the goat area of all 15 slopes in the fifth section is less than 10%. Notably, stope 63542W exhibits the greatest deviation, at 7.11%. This suggests that all 15 slopes within this section contain goofs. 6. Based on the data distribution illustrated in Figure 16, the physical detection result for the goat area in stope 68642S in the sixth section is found to be 86.56% lower than the historical statistical result. In contrast, discrepancies between physical detection outcomes and historical statistics for goat areas in other slopes remain below 10%. Notably, stope 68646 exhibits the most significant change at a rate of 5.80%. Consequently, it can be inferred that a goat may exist within stope 68642S in the sixth section, and the presence of goofs in the other slopes within this section is confirmed. In summary, among the sixty-one slopes of Vein 68, nine slopes are suspected to contain goofs, specifically, slopes 68132, 68261\({}_{\text{down}}\), 68263E\({}_{\text{down}}\), 68263W\({}_{\text{down}}\), 68261\({}^{\text{up}}\), 68263E\({}^{\text{up}}\), 68263W\({}^{\text{up}}\), 68342W, and 68642S, and the remaining fifty-two slopes are confirmed to exhibit goofs. Furthermore, within the context of Vein 45, comprising a total of thirty-one slopes, two--store 45265E and stope 45263N--are also suspected to have goofs; the remaining forty-three slopes are confirmed to exhibit goofs. Additionally, from the analysis of the six slopes associated with the vein under consideration, Vein 43, stope 43438E\({}_{\text{down}}\) is indicated to potentially contain goofs, while the other five slopes are confirmed to possess them. Lastly, all ten slopes in relation to Vein 63 and four in connection with Vein 55 have been definitively established to contain goofs. To verify and ensure the accuracy and reliability of the detection results, we calculated the relative error values by comparing the detection results of the goat from synthetic and field experiments with their respective prior models.