The forecast for oil production from an reservoir is made with the aid of simulations. model parameters in simulations are uncertain whose values estimated by matching simulation predictions history. Bayesian inference (BI) provides a convenient way estimating mathematical model, starting probable distribution parameter and knowing BI techniques history require Markov chain Monte Carlo (MCMC) s...

Summary History matching is a critical process used for calibrating simulation models and assessing subsurface uncertainties. This common technique aims to align the reservoir with observed data. However, achieving this goal often challenging due nonuniqueness of solution, underlying uncertainties, usually high computational cost simulations. The traditional approach based on trial error, which...

Pigeons were trained to match color and line orientation element or compound samples in a symbolic matching-to-sample task. In subsequent test sessions with element and compound samples, there was an initial superiority of element matching for the element-trained group and of compound matching for the compound-trained group. This difference persisted over the course of 100 test sessions for the...