A STOCHASTIC APPROACH TO MINERAL MODELING OF LOG DERIVED ELEMENTAL DATA

A significant problem with transforming elemental logging data into mi neral proportions is the natural variation that can exist in the compo sition of individual minerals phases. A modelling approach is introduc ed that allows compositionally variable minerals to fluctuate within s pecified statistical limits in the transform model. Such a stochastic approach provides a ''geologically'' viable method for overcoming the need to know, accurately, the composition of highly variable mineral s pecies at each depth interval down-hole. The resulting computed minera l assemblages have important applications in oil and mineral explorati on.