Abstract:
Systems and methods for reservoir resistivity characterization are provided, in various aspects, an integrated framework for the estimation of Archie's parameters for a strongly heterogeneous reservoir utilizing the dynamics of the reservoir are provided. The framework can encompass a Bayesian estimation/inversion method for estimating the reservoir parameters, integrating production and time lapse formation conductivity data to achieve a better understanding of the subsurface rock conductivity properties and hence improve water saturation imaging.
Abstract:
A multi-data reservoir history matching and uncertainty quantification framework is provided. The framework can utilize multiple data sets such as production, seismic, electromagnetic, gravimetric and surface deformation data for improving the history matching process. The framework can consist of a geological model that is interfaced with a reservoir simulator. The reservoir simulator can interface with seismic, electromagnetic, gravimetric and surface deformation modules to predict the corresponding observations. The observations can then be incorporated into a recursive filter that subsequently updates the model state and parameters distributions, providing a general framework to quantify and eventually reduce with the data, uncertainty in the estimated reservoir state and parameters.
Abstract:
A method for calculating a fluid flow in a given underground medium, the method including receiving (300) initial molar densities for components of the fluid; introducing (306) a scalar auxiliary variable r into an inhomogeneous Helmholtz free energy equation F with a Peng-Robinson equation of state; calculating (312) a molar density n i of each component of the fluid based on a discretized scalar auxiliary variable r k ; and determining (314) the flow of the fluid based on the calculated molar densities n i .
Abstract:
A physics-preserving, implicit pressure, explicit saturation method for simulation of incompressible and immiscible two-phase flow in heterogeneous porous media with capillary pressure, includes receiving (1200) input data that characterizes a given domain in a subsurface of the earth; selecting (1202) initial parameters K associated with a mixed finite element algorithm; modifying (1204) Darcy flows to include a total velocity and a capillarity potential gradient; establishing (1206) a total conservation equation by summing a discretized conservation equation for each phase of the two-phase flow; and calculating (1208) at least one parameter based on the modified Darcy flows and the total conservation equation. The at least one parameter characterizes the two-phase flow in the heterogeneous porous media with a capillary pressure, between an injection well and a production well.
Abstract:
Systems and methods for reservoir resistivity characterization are provided, in various aspects, an integrated framework for the estimation of Archie's parameters for a strongly heterogeneous reservoir utilizing the dynamics of the reservoir are provided. The framework can encompass a Bayesian estimation/inversion method for estimating the reservoir parameters, integrating production and time lapse formation conductivity data to achieve a better understanding of the subsurface rock conductivity properties and hence improve water saturation imaging.
Abstract:
A multi-data reservoir history matching and uncertainty quantification framework is provided. The framework can utilize multiple data sets such as production, seismic, electromagnetic, gravimetric and surface deformation data for improving the history matching process. The framework can consist of a geological model that is interfaced with a reservoir simulator. The reservoir simulator can interface with seismic, electromagnetic, gravimetric and surface deformation modules to predict the corresponding observations. The observations can then be incorporated into a recursive filter that subsequently updates the model state and parameters distributions, providing a general framework to quantify and eventually reduce with the data, uncertainty in the estimated reservoir state and parameters.