Abstract
Abstract. We introduce a workflow integrating geological modelling
uncertainty information to constrain gravity inversions. We test and apply
this approach to the Yerrida Basin (Western Australia), where we focus on
prospective greenstone belts beneath sedimentary cover. Geological
uncertainty information is extracted from the results of a probabilistic
geological modelling process using geological field data and their inferred
accuracy as inputs. The uncertainty information is utilized to locally
adjust the weights of a minimum-structure gradient-based regularization
function constraining geophysical inversion. Our results demonstrate that
this technique allows geophysical inversion to update the model
preferentially in geologically less certain areas. It also indicates that
inverted models are consistent with both the probabilistic geological model
and geophysical data of the area, reducing interpretation uncertainty. The
interpretation of inverted models reveals that the recovered greenstone
belts may be shallower and thinner than previously thought.
Subject
Paleontology,Stratigraphy,Earth-Surface Processes,Geochemistry and Petrology,Geology,Geophysics,Soil Science