Abstract
Abstract The spacial distribution of the physical characteristics of a mineral deposit (its elevation, thickness, grade, etc.) can be estimated with measurable limits of accuracy by geostatistical techniques, but the estimates are smoothed. Local fluctuations of such variables as hanging-wall position or orebody thickness may be of great importance to the planning function, since they can influence choice of equipment or have an important and unavoidable effect on grade dilution or ore recovery. Fractal geometry can be used to generate qualitatively detailed views of these variables, with their complexity explicit. This paper describes several constructs using fractal concepts for two-dimensional image generation. The images can be derived from data sets and used for purposes such as the planning of mineral extraction systems; they are faithful to the original seed data. The constructs are analysed and compared, through their semi-variograms, with conventional models.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
