Evaluation of Mineralogy per Geological Layers by Approximate Bayesian Computation

@article{Bruned2020EvaluationOM,
  title={Evaluation of Mineralogy per Geological Layers by Approximate Bayesian Computation},
  author={Vianney Bruned and Alice Cleynen and Andr{\'e} Mas and Sylvain Wlodarczyck},
  journal={SPE Journal},
  year={2020}
}
We propose a new three-step methodology to perform an automated mineralogical inversion from wellbore logs. The approach is derived from a Bayesian linear-regression model with no prior knowledge of the mineral composition of the rock. The first step makes use of approximate Bayesian computation (ABC) for each depth sample to evaluate all the possible mineral proportions that are consistent with the measured log responses. The second step gathers these candidates for a given stratum and… 

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