摘要：We introduce a workflow integrating geological modellinguncertainty information to constrain gravity inversions. We test and applythis approach to the Yerrida Basin (Western Australia), where we focus onprospective greenstone belts beneath sedimentary cover. Geologicaluncertainty information is extracted from the results of a probabilisticgeological modelling process using geological field data and their inferredaccuracy as inputs. The uncertainty information is utilized to locallyadjust the weights of a minimum-structure gradient-based regularizationfunction constraining geophysical inversion. Our results demonstrate thatthis technique allows geophysical inversion to update the modelpreferentially in geologically less certain areas. It also indicates thatinverted models are consistent with both the probabilistic geological modeland geophysical data of the area, reducing interpretation uncertainty. Theinterpretation of inverted models reveals that the recovered greenstonebelts may be shallower and thinner than previously thought.
