Title page for ETD etd-09262005-164731

Type of Document Dissertation
Author Wang, Xiaohai
Author's Email Address xhwang@vt.edu
URN etd-09262005-164731
Title Stereological Interpretation of Rock Fracture Traces on Borehole Walls and Other Cylindrical Surfaces
Degree PhD
Department Civil Engineering
Advisory Committee
Advisor Name Title
Mauldon, Matthew Committee Chair
Dove, Joseph E. Committee Member
Dunne, William M. Committee Member
Gutierrez, Marte S. Committee Member
Westman, Erik Christian Committee Member
  • fractures
  • cylindrical sampling
  • borehole
  • stereology
  • Monte Carlo method
  • intensity measures
  • conversion factors
  • mean fracture length and width
Date of Defense 2005-09-16
Availability unrestricted
Fracture systems or networks always control the stability, deformability, fluid and gas storage capacity and permeability, and other mechanical and hydraulic behavior of rock masses. The characterization of fracture systems is of great significance for understanding and analyzing the impact of fractures to rock mass behavior. Fracture trace data have long been used by engineers and geologists to character fracture system. For subsurface fractures, however, boreholes, wells, tunnels and other cylindrical samplings of fractures often provide high quality fracture trace data and have not been sufficiently utilized. The research work presented herein is intended to interpret fracture traces on borehole walls and other cylindrical surfaces by using stereology. The relationships between the three-dimension fracture intensity measure, P32, and the lower dimension fracture intensity measures are studied. The analytical results show that the conversion factor between the three-dimension fracture intensity measure and the two-dimension intensity measure on borehole surface is not dependent on fracture size, shape or circular cylinder radius, but is related to the orientation of the cylinder and the orientation distribution of fractures weight by area. The conversion factor between the two intensity measures is determined to be in the range of [1.0, π/2]. The conversion factors are also discussed when sampling in constant sized or unbounded fractures with orientation of Fisher distribution. At last, the author proposed estimators for mean fracture size (length and width) with borehole/shaft samplings in sedimentary rocks based on a probabilistic model. The estimators and the intensity conversion factors are tested and have got satisfactory results by Monte Carlo simulations.
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