A water and wastewater treatment process optimization and automatic design system and a design method using the same of the present invention can optimize water and wastewater treatment processes for design of a water and wastewater treatment device that includes a plurality of treatment processes and can automatically generate design deliverables such as drawings, bills of quantities, etc., for design of an optimal process configuration.

A method for applying extended reality to simulate an actual flow system, including receiving selection of simulated components of the actual flow system that are graphical elements, receiving component metadata for each simulated component that represents simulated component factors that affect the simulated flow from, through, or to the simulated component, receiving simulation connection metadata for each simulated connection between the simulated components that represents simulated connection factors that affect the simulated flow through the simulated connection, receiving actual data over time, simulating the flow over time through the simulated connections based on the actual data by applying a model using a set of operations to the actual data, the simulation component metadata, and the simulation connection metadata. The method further includes displaying via the extended reality user interface the three or more simulated components as connected by the simulated connections and the simulated flow.

In one embodiment, a method includes: accepting input data for a design including arrangement of spaces of a structure, operating parameters of a ventilation system, and locations and relative positions of an uninfected individual and one or more infected individuals in the structure with respect to air flowing in the structure and influenced by the ventilation system; calculating an inverse protection factor for the structure using a lumped element model, the inverse protection factor being an inverse of a protection factor which is a ratio of contaminant which the one or more infected individuals exhale in the structure and contaminant which the uninfected individual inhales in the structure; comparing the calculated inverse protection factor to a preset criterion; and if the calculated inverse protection factor fails to meet the preset criterion, changing the design, and repeating the calculating, comparing, and changing until the calculated inverse protection factor meets the preset criterion.

Methods, systems, and computer programs are presented for determining flood levels within a region. One method includes an operation for detecting an alert generated by one of a riverine, a coastal, or an urban model. Further, the method includes operations for selecting one or more regions for estimating flood data based on the detected alert, and for calculating, by an inundation model, region flood data for each of the selected regions based on outputs from the riverine model, the coastal model, and the urban model. Additionally, the method includes an operation for combining the region flood data for the selected one or more regions to obtain combined flood data. The combined flood data is presented on a user interface, such as on a flood inundation map.

A heat supply network hydraulic circuit modeling method for a comprehensive energy system scheduling is provided. The hydraulic analysis model is unified with the power network model, and the connection between the hydraulic dynamic state and the hydraulic steady state is established. Based on the characteristic equations of thermal pipelines, flow control valves and compressors, this method abstracts hydraulic circuit element models such as hydraulic resistance, hydraulic inductance, and hydraulic pressure source, establishes hydraulic branch characteristics of the heat supply network based on the above hydraulic circuit elements, establishes the hydraulic topology constraints of the heat supply network based on Kirchhoff-like voltage and current laws, and establishes the steady hydraulic network equation by combining the above hydraulic branch characteristics and hydraulic topology constraints.

Disclosed are computer implemented techniques for conducting a simulation of physical properties of a porous medium. The features include receiving a micro-CT 3D image that captures a representative elemental volume of the porous medium, the porous medium defined as having mineral types and fluid types with individual grains and grain to grain contacts, labeling the micro-CT 3D image as individual voxels according to mineral and fluid types and labeling the mineral type voxels as belonging to separated and fixed individual grains. The features also include transforming the labeled voxels into an unstructured conformal mesh representation for all grains and applying the unstructured conformal mesh representation to a parametric cohesive contact engine, with the parametric cohesive contact engine executing a parametric cohesive contact model that has an adjustable parameter, a critical separation δ.sup.0 conditioned according to consolidation level.

Disclosed are methods, systems, and computer-readable medium to perform operations including: receiving historical production data associated with a hydrocarbon well; preprocessing the historical production data to remove noise from the historical production data; using one or more machine-learning algorithms and the preprocessed historical production to train a simulation model to simulate a flow-after-flow test for the hydrocarbon well; and testing the simulation model to determine that the simulation model passes predetermined testing criteria.

A method for recommending a drilling target of a new well based on cognitive computing is provided, including: establishing a reservoir geological model; acquiring a dynamic parameter and a static parameter; establishing multiple fuzzy rules bases; inputting the dynamic and static parameters into the fuzzy rules base to obtain aggregated output fuzzy sets of membership values; defuzzifying the fuzzy set of the membership values to obtain crisp values of the fuzzy variables; inputting the crisp values into the fuzzy rules base to obtain a aggregated output fuzzy set of DA membership values of drilling attractiveness DA as a fuzzy variable; defuzzifying the DA to obtain a score of the DA; establishing a drilling attractiveness region with a radius R by taking each grid as a center; calculating region drilling attractiveness RDA score of the region; and determining a region with a highest score as the location of the new well.

The present invention discloses a numerical simulation method for proppant transport considering wall-retardation effect, comprising the followings: establish a physical model of laboratory experiment on proppant transport with a large flat-panel device; establish a drag coefficient model considering wall-retardation effect according to the numerical simulation experiment; establish a computational geometric model; set boundary conditions and physical parameters of the geometric model according to the two-fluid simulation method for solid proppant quasi-fluidization; verify the grid independence of the computational geometric model to obtain the transport characteristics and placement pattern of the proppant in fractures. The present invention employs a numerical simulation method to study the migration and distribution patterns of proppant under the retardation effect of narrow walls during the hydraulic fracturing. The method is reliable in principle and can accurately predict proppant transport in subsurface hydraulic fractures with consideration of the wall-retardation effect on proppant transport.

The disclosure relates to a computer-implemented method for performing a deformation-based physics simulation described by a partial differential equation. The method comprises providing a geometrical model representing a portion of the real world. The method comprises performing a hybrid discretization of the model. The performing of the hybrid discretization comprises discretizing one or more first objects in the portion each with a mesh and one or more second objects in the portion each with a point cloud. The method comprises one or more iterations. Each iteration comprises performing a simulation run based on a discretization of the partial differential equation and on the hybrid discretization. The iteration comprises assessing a deformation as a result of the simulation run. The deformation corresponds to a shape deformation of the one or more second objects. The iteration comprises updating the hybrid discretization to model the deformation by moving points of a point cloud.