On stochastic inversion and its use for media characteristics prediction

This paper presents an overview of stochastic seismic data inversion methods, briefly discussing the evolution of seismic inversion in general. Four key stochastic inversion methods are discussed, with a more detailed examination of one of the Monte Carlo algorithms – the 1D stochastic inversion process. All stages of its practical implementation are discussed in detail. The application of the algorithm to predicting the reservoir properties of target horizons is demonstrated. This paper can serve as a structured introduction to the field of probabilistic seismic inversion algorithms.