Summary
In this paper we will first review the industry-standard continuous simultaneous inversion methods and point out some shortcomings. We will then introduce our new joint categorical/continuous simultaneous inversion technology, which reformulates the problem to address these issues. It casts the inversion as a Bayesian problem, which needs to be solved iteratively, as the inversion to categorical and continuous properties cannot be written down in closed form. We present some examples and conclude that the new inversion is able to overcome the shortcomings mentioned.
Key words::