A Computational Algorithm for Calculating Fracture Index of Core Runs

Fracture Index (FI), which represents the count of fractures over an arbitrary length of core with similar intensity of fracturing, provides insight into the fracture state of rock masses. Manual interpretation of core is not only time-consuming but also prone to human error. To address these challe...

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Vydané v:Rock mechanics and rock engineering Ročník 56; číslo 9; s. 6905 - 6918
Hlavní autori: Wong, Louis Ngai Yuen, Liu, Zihan, Tse, Keith Ki Chun, Cheung, Sai Hung, Yu, Lequan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Vienna Springer Vienna 01.09.2023
Springer Nature B.V
Predmet:
Algorithms
Civil Engineering
Computer applications
Earth and Environmental Science
Earth Sciences
Fractures
Geologists
Geophysics/Geodesy
Human error
Logging
Mathematical analysis
Synthetic data
Technical Note
Core run
Computational algorithm
Joint spacing
Fracture Index
ISSN:0723-2632, 1434-453X
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Shrnutí:Fracture Index (FI), which represents the count of fractures over an arbitrary length of core with similar intensity of fracturing, provides insight into the fracture state of rock masses. Manual interpretation of core is not only time-consuming but also prone to human error. To address these challenges, this study develops a computational algorithm that automatically calculates the FI of core runs based on fracture spacing data. The variance of fracture spacing values is selected as the key evaluating indicator. The algorithm automatically groups fractures appearing in core imagery based on uniformity of fracture spacing. Upon counting the number of fractures in each group over a certain length of core run obtained from the optimal grouping scheme, the algorithm outputs the FIs automatically. The algorithm’s performance has been effectively demonstrated on synthetic data and three real-life core datasets. Algorithm results show good agreement with those produced by logging geologists and listed in standard human-generated reports. The occasional discrepancies are attributed to the inherent subjective nature associated with the manual logging. Highlights The definition of fracture index in various standards and guidelines is reviewed. An algorithm for calculating the fracture index of core runs is proposed. The algorithm’s application is demonstrated through three examples, yielding satisfactory results. Subjective judgement in manual logging accounts for the differences between algorithmic and traditional manual methods.
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ISSN:0723-2632
1434-453X
DOI:10.1007/s00603-023-03422-z