PVTsim’s Clean for Mud module can not only perform a numerical cleaning of the fluid. In such cases, the mud will affect the PVT data measured for the fluid. Characterized regression allows the user full freedom to change EoS parameters for all components as well as to tune on the binary interaction parameters.īottom hole samples will often be contaminated by drilling mud. Plus regression is an assisted regression method that in a physically reasonable way changes how the EoS parameters of the C7+ components change with molecular weight. Users with more experience in EoS modeling can use PVTsim’s options for Plus regression and Characterized regression. It suggests an appropriate lumping scheme and the weights to be assigned to the different types of PVT data to be matched, but allows the user to change the suggested settings. ![]() The Auto EoS option performs a quality check of fluid compositions and PVT data and informs the user of possible inconsistencies. It enables users without specialist knowledge of PVT modeling to develop quality EoS models within minutes. PVTsim’s Auto EoS has more than 35 years of built-in experience. An equation of state (EoS) model for a reservoir fluid to be produced is a prerequisite for a qualified planning of the production and for an optimal design and operation of the production equipment.
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