Computational cost often hinders the calibration of complex computer models. In this context, history matching (HM) is becoming a widespread strategy, with applications in many disciplines. HM uses statistical approximation, also known as an emulator, to model output, order mitigate computational cost. The process starts observation physical system. It then produces progressively more accurate ...

   In this paper, a new robust approach based on Least Square Support Vector Machine (LSSVM) as a proxy model is used for an automatic fractured reservoir history matching. The proxy model is made to model the history match objective function (mismatch values) based on the history data of the field. This model is then used to minimize the objective function through Particle Swarm Optimization (...

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...

The relative permeability of coal to gas and water exerts a profound influence on fluid transport in seams both primary enhanced coalbed methane (ECBM) recovery processes where multiphase flow occurs. Unsteady-state core-flooding tests interpreted by the Johnson–Bossler–Naumann (JBN) method are commonly used obtain coal. However, JBN fails capture multiple gas–water–coal interaction mechanisms,...