Geostatistical Analysis of Different Faults Attributes and Relations between them, Taking into Account the Sampling Bias

A statistical analysis of different faults' attributes and relation between them is presented. The new method for correction of statistical analysis results for probability distribution of faults and fractures lengths sampled under truncation and censoring effects and their intensity is developed. A series of test calculations confirm the accuracy and computational efficiency of the method.