Glossary

history matching

History matching is a process of refining a forward model by looking at new evidence: observations.

prior

A prior is a probability distribution of a value before some new evidence is taken into account.

prediction

A prediction is a vector of real numbers of size equal to the number of observation.

forward model

A forward model maps model parameters to predicted measurements (prediction). See, for instance, Evensen [2018] and Evensen et al. [2019].

error function

The error function, or erf, is a function that for a normal distribution with a standard derivation s and expected value 0, has the property that erf(a / (s*sqrt(2))) is the probability that the error of a single measurement lies between -a and +a.