## Exploration Activity: Modeling-Computer Simulations (Foxall, Et Al., 2007)

We are developing a joint inversion methodology for application to geothermal exploration by adapting a stochastic Monte Carlo-Markov Chain (MCMC) software package designed and developed at LLNL to jointly invert a wide range of data sets for characterization of complex geological systems. This package, dubbed the "Stochastic Engine" (SE), is described in the Appendix, together with a general overview of the joint inversion problem. The solutions produced by such stochastic methods are in the form of likelihood distributions across alternative models, which form an appropriate basis for developing risk-based drilling and development strategies.

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