A method of designing a microwave filter using a computerized filter optimizer, comprises generating a filter circuit design in process (DIP) comprising a plurality of circuit elements having a plurality of resonant elements and one or more non-resonant elements, optimizing the DIP by inputting the DIP into the computerized filter optimizer, determining that one of the plurality of circuit elements in the DIP is insignificant, removing the one insignificant circuit element from the DIP, deriving a final filter circuit design from the DIP, and manufacturing the microwave filter based on the final filter circuit design.

Methods, systems and computer program products pertaining to simulating liquid bodies are presented. The subject matter of this document can be embodied in a method that includes obtaining one or more data arrays representing low frequency spatial features of a simulated volume of liquid, and up-sampling the one or more data arrays to produce corresponding high resolution data arrays. The method also includes obtaining procedural data representing high frequency spatial features of a simulated liquid surface, and modifying the one or more high resolution data arrays using the procedural data to produce corresponding modified data arrays that reflect both the high frequency and the low frequency spatial features of the simulated volume of liquid.

Methods are disclosed for monitoring, controlling and optimizing fouling of a two side membrane fouling process. The method for monitoring fouling of a two side membrane fouling process can include determining the process model for the two side membrane fouling process. The parameters of the process model can be grouped based on the interactions thereof between the parameters so as to form one or more groups of parameters. At least one key performance index is estimated in relation to one or more groups of parameters. The fouling of the two side membrane fouling process is monitored correspondingly in relation to at least one key performance index.

Methods are disclosed for monitoring, controlling and optimizing fouling of a two side membrane fouling process. The method for monitoring fouling of a two side membrane fouling process can include determining the process model for the two side membrane fouling process. The parameters of the process model can be grouped based on the interactions thereof between the parameters so as to form one or more groups of parameters. At least one key performance index is estimated in relation to one or more groups of parameters. The fouling of the two side membrane fouling process is monitored correspondingly in relation to at least one key performance index.

A method to model a complex system of pipes. The model takes into account the physical processes in a tree-type piping system and provides for an accurate modeling of a real world tree-type piping system. In a preferred embodiment, a computer program is provided for analyzing models of dry pipe systems. The computer program includes a user interface and a computational engine. The user interface allows a model of a dry pipe system to be defined and the computational engine determines a liquid flow time through the model of the dry pipe system. The computational engine provides a verification of the liquid flow time in a model of a referential dry pipe system within 20% of an actual liquid flow time in the referential dry pipe system.

A method to model a complex system of pipes. The model takes into account the physical processes in a tree-type piping system and provides for an accurate modeling of a real world tree-type piping system. In a preferred embodiment, a computer program is provided for analyzing models of dry pipe systems. The computer program includes a user interface and a computational engine. The user interface allows a model of a dry pipe system to be defined and the computational engine determines a liquid flow time through the model of the dry pipe system. The computational engine provides a verification of the liquid flow time in a model of a referential dry pipe system within 20% of an actual liquid flow time in the referential dry pipe system.

A fine computer model covering an area includes a fine grid. A fault follows a fine-grid-path. The fault divides the area into a first fine side and a second fine. A model of a source of fluid flow is on the first fine side of the area. A model of a sink of fluid flow is on the second fine side of the area. The computer coarsens the model. The fault follows a coarse-grid-path in the coarsened model. The coarse-grid-path divides the area into a first coarse side and a second coarse side. The model of the source and the model of the sink are on the first coarse side of the area. One of the source or the sink is moved to the second coarse side of the area.

This invention relates to a method of monitoring a fluid processing network having a plurality of fluid processing regions including the steps of: receiving measured current parameter values at known points of the network; determining from the measured current parameter values regions of the network that are active, all other regions being deemed inactive; subtracting inactive regions of the network from a model of the fluid processing network to provide a current active network model; determining current parameter values of the current active network at least at points remote from the known points, the parameter values at said remote points being determined using the measured current parameter values and the current active network model; based on the current parameter values, determining if one or more pre-specified boundaries are breached; and performing a predetermined action if one or more said boundaries are breached.

A computer-implemented method for inverse simulation of a plurality of fibers. The method comprises: providing a computational model for describing mechanical behavior of fibers; obtaining target geometry information describing a target configuration or dynamical behavior of the plurality of fibers; and inverse simulating the behavior of the plurality of fibers, using the computational model and the target geometry information, to calculate a target set of fiber mechanical parameters for the plurality of fibers. Fibers with the calculated target set of fiber mechanical parameters exhibit the target configuration or dynamical behavior. In some embodiments, the inverse simulation comprises using analysis-by-synthesis to help derive the target set of fiber mechanical parameters. In some embodiments, the inverse simulation uses a neural network to infer information about fiber mechanical parameters from the target geometry information. The invention also provides a method of training the neural network.

A distribution of sand sediment class in a subsurface of the Earth is identified. Three-dimensional stratigraphic images of sediment distribution in a subsurface of the Earth are constructed, including at least two depositional domains, by simulating sediment transport and deposition over a selected time interval of sediments originating from one or more clastic sediment input sources. The simulation uses at least two equilibrium surfaces bounding the at least two depositional domains and at least two sediment classes, and updates the equilibrium surfaces in a sequence of timesteps, by accounting for sediment feed from the one or more clastic sediment input sources, erosion and deposition in accordance with mass-balance equality constraints. The images are used to identify a distribution of sand sediment class in the subsurface of the Earth suitable for acquiring hydrocarbons or fresh water, or for storing gas or liquids.