H.3. Artificial Intelligence
Prediction of rock strength parameters for an Iranian oil field using neuro-fuzzy method

M. Heidarian; H. Jalalifar; F. Rafati

Volume 4, Issue 2 , July 2016, , Pages 229-234

http://dx.doi.org/10.5829/idosi.JAIDM.2016.04.02.11

Abstract
  Uniaxial compressive strength (UCS) and internal friction coefficient (µ) are the most important strength parameters of rock. They could be determined either by laboratory tests or from empirical correlations. The laboratory analysis sometimes is not possible for many reasons. On the other hand, ...  Read More