An example device includes: a memory storing instructions; and a processor connected to the memory. The instructions are to cause the processor to: receive predetermined locations of a fluidic input location and fluidic output locations at a three-dimensional (3D) object model; generate respective paths between the fluidic input and each of the fluidic outputs via associated portions of the 3D object model; replace the respective paths with respective hollow connectors that have respective fluidic resistance selected such that each of the fluidic outputs have a predetermined flow rate from the fluidic input to the fluid outputs; and store, at the memory, data indicative of locations and dimensions of the respective hollow connectors, relative to the fluidic input and the fluidic outputs, the data for use by a three-dimensional printer to print a part that includes the fluidic input, the fluidic outputs and the respective hollow connectors.

A cold plate apparatus that has an outlet plenum leading to an outlet opening includes an outlet transition that connects the outlet opening to the outlet plenum. The outlet transition defines a smoothly curving flow path from a direction along a long dimension of the outlet plenum, which is parallel to a plane defined by the outlet opening, to a direction along a centerline of the outlet opening, which is at an angle from the plane defined by the outlet opening. The outlet transition provides a smooth variation of cross-sectional area from the outlet plenum to the outlet opening.

Improved reservoir simulation methods and systems are provided that employ a new velocity model in conjunction with a sequential implicit (SI) formulation or Sequential Fully Implicit (SF) formulation for solving the discrete form of the system of nonlinear partial differential equations. In embodiments, the new velocity model employs a fluid transport equation part based on calculation of phase velocity for a number of fluid phases that involves capillary pressure and a modification coefficient. In embodiments, the modification coefficient can be based on a derivative of capillary pressure with respect to saturation. In another aspect, the new velocity model can employ an estimate of the phase velocity of the water phase v.sub.w_est that is based on one or more derivatives of capillary pressure of the water phase as a function of water saturation.

A gas diffusion simulation method for simulating diffusion of a gas in a porous material having many pores, the method includes: calculating, in the pores, a Knudsen diffusion coefficient based on the mean square displacement of first gas particles in spaces surrounded by wall surfaces and a Knudsen diffusion term using the Knudsen diffusion coefficient, calculating an interdiffusion term using an interdiffusion coefficient between the first gas particles and second gas particles different therefrom, and performing simulation of the gas diffusion of the first gas particles by using a diffusion equation of the first gas particles represented by the sum of the Knudsen diffusion term and the interdiffusion term.

The disclosure is directed to a system for generating suggested routing for waste fluid from a source component to a sink component that can use the waste fluid in a fluid process according to some embodiments. In some embodiments, the system is configured to determine usability of the waste fluid in various fluid processes by accessing contamination history from a fluid processes and calculating an acceptable amount of contamination to use in a different fluid process. The system is configured to provide different types of waste fluid from different processes at various flowrates to one or more sink components to ensure contamination thresholds for the sink processes are not violated according to some embodiments.

Systems and methods include a computer-implemented method for generating and modeling oil viscosity profiles. An Equation-of-State (EOS) and a field pressure-volumetemperature (PVT) model are generated by reconciling historical well data received for multiple wells in a field of interest. Oil properties trends for checking logical tendencies for in-situ oil composition for local data and at initial conditions are generated using the EOS and the field PVT model, calibrated using measured lab-available oil density, and used to generate an in-situ oil composition for local data and conditions. An oil viscosity profile, generated in the field PVT model based on the oil properties trends, is calibrated and modeled in a two-dimensional PVT model using lab oil viscosity. The two-dimensional PVT model is tested using static and dynamic simulation models in terms of the EOS, compositions, composition gradient, and oil properties, including viscosity.

A system and method of simulating fluid flow in a hydrocarbon reservoir is disclosed. The method includes obtaining a coarse grid model of the hydrocarbon reservoir and a trajectory of a wellbore that penetrates the hydrocarbon reservoir, and determining an initial grid geometry surrounding the trajectory. The method further includes constructing a reservoir simulation grid, conformal to the initial grid geometry in a first region in a vicinity of the wellbore and conformal with the coarse grid model in a second region more distant from the wellbore than the first region, and performing a hydrocarbon reservoir simulation, modeling a flow of fluid in the hydrocarbon reservoir based, at least in part, on the reservoir simulation grid.

A method may include obtaining, from various sensors, acquired sensor data regarding various multiphase flows in a multiphase flow meter that are sampled at a predetermined sampling frequency. The acquired sensor data may describe various transient signals that correspond to various gas droplets. The method may further include generating, based on the acquired sensor data, a flow model for the multiphase flow meter. The method may further include updating the flow model to produce a first updated flow model using simulated flow data. The method may further include updating the first updated flow model to produce a second updated flow model using simulated sensor data. The second updated flow model may be used to determine one or more flow rates within a multiphase flow.

The present disclosure provides systems and methods that expedite the design of physical components through the use of iterative and computationally efficient virtual simulations. In particular, the systems and methods of the present disclosure can be used as part of an iterative design process in which a product designer is able to iteratively make changes to a component design by iteratively interacting a visualization of a virtual representation of the component within a virtual environment.

Disclosed are techniques for simulating a physical process and for determining boundary conditions for a specific energy dissipation rate of a k-Omega turbulence fluid flow model of a fluid flow, by computing from a cell center distance and fluid flow variables a value of the specific energy dissipation rate for a turbulent flow that is valid for a viscous layer, buffer layer, and logarithmic region of a boundary defined in the simulation space. The value is determined by applying a buffer layer correction factor as a first boundary condition for the energy dissipation rate and by applying a viscous sublayer correction factor as a second boundary condition for the energy dissipation rate.