1462 results about "Numerical models" patented technology

In one embodiment, a wind power ramp event nowcasting system includes a wind condition analyzer for detecting a wind power ramp signal; a sensor array, situated in an area relative to a wind farm, the sensor array providing data to the wind condition analyzer; a mesoscale numerical model; a neural network pattern recognizer; and a statistical forecast model, wherein the statistical model receives input from the wind condition analyzer, the mesoscale numerical model, and the neural network pattern recognizer; and the statistical forecast model outputs a time and duration for the wind power ramp event (WPRE) for the wind farm.

A method and system of providing comparative cost information for health insurance plans. Claims files are generated for the reference population of real historical patients for each the plans. Information is presented to users on the distribution of out-of-pocket costs for health care that users are likely to incur in the coming year, based on the parameters of health plans, information on the user and his / her household, and the actual health care use and costs for a reference population comparable to the users. Information is presented to users on optimal contributions to their flexible spending account for health care in the coming year and solving a dynamic numerical model based on users' objective function; solutions are based on the parameters of health plans, information on the user and his / her household, and the actual health care use and costs for a reference population comparable to the user.

Measured values obtained from a running test of an object to be tested and a module on a test bench such as a flat belt type chassis dynamo, and computation based upon numerical models of components other than the object to be tested and the module, are related to each other so as to reproduce a condition near to an actual running condition, for the object to be tested and the module so as to precisely analyze how the object to be tested and the module affects upon the motion of the overall vehicle during actual running of the vehicle. Thus it is possible to evaluate dynamic characteristics of respective vehicle components and a module which relate to the maneuvering performance of the vehicle, on a test bench in a condition in which a load variation and an alignment variation are taken into consideration.

A method for producing a substantially calibrated numerical model, which can be used for calculating a stress on any point in a formation, accounts for a formation's geologic history using at least one virtual formation condition to effectively “create” the present-day, virgin stress distribution that correlates, within acceptable deviation limits, to actual field stress measurement data obtained for the formation. A virtual formation condition may describe an elastic rock property (e.g., Poisson ratio, Young's modulus), a plastic rock property (e.g., friction angle, cohesion) and / or a geologic process (e.g., tectonics, erosion) considered pertinent to developing a stratigraphic model suitable for performing the desired stress analysis of the formation.

Feedback data useful in prosthodontic procedures associated with the intra oral cavity is provided. First, a 3D numerical model of the target zone in the intra oral cavity is provided, and this is manipulated so as to extract particular data that may be useful in a particular procedure, for example data relating to the finish line or to the shape and size of a preparation. The relationship between this data and the procedure is then determined, for example the clearance between the preparation and the intended crown. Feedback data, indicative of this relationship, is then generated, for example whether the preparation geometry is adequate for the particular type of prosthesis.

The invention provides for a system for estimating a 3-dimensional treatment volume for a device that applies treatment energy through a plurality of electrodes defining a treatment area, the system comprising a memory, a display device, a processor coupled to the memory and the display device, and a treatment planning module stored in the memory and executable by the processor. In one embodiment, the treatment planning module is adapted to generate an estimated first 3-dimensional treatment volume for display in the display device based on the ratio of a maximum conductivity of the treatment area to a baseline conductivity of the treatment area. The invention also provides for a method for estimating 3-dimensional treatment volume, the steps of which are executable through the processor. In embodiments, the system and method are based on a numerical model which may be implemented in computer readable code which is executable through a processor.

The invention discloses a wind resource assessment method based on numerical weather prediction and the computational fluid dynamics. According to the method, area wind speed situations of a wind power plant in a selected year are simulated in a numerical weather prediction model, so that numerical weather prediction results comprising wind speed and wind direction time variation sequences of the wind power plant are obtained; one or more wind speed and wind direction time variation sequences are selected from the numerical weather prediction results and input in CFD software of the computational fluid dynamics, and wind resource situations of the whole wind power plant can calculated and obtained. Compared with a method of combining a meso-scale numerical model and a micro-scale numerical model, the wind resource assessment method achieves more accurate physical solution and calculation of the wind power plant on a micro level, and meanwhile the effects on wind speed attenuation or turbulence from complex terrain and wake effects are considered. Compared with wind resource assessment conducted through the CFD software only, the method can provide input of more result points of the CFD software by being combined with results of the numerical weather prediction model.

The invention relates to a power grid wind damage early warning system based on micro-landform wind field distribution and typhoon superimposed effect, belonging to the field of prevention, reduction and control of natural disaster for a power grid. The power grid wind damage early warning system comprises a weather data acquisition sub-system, a wind damage and wind speed forecasting computer sub-system, a power grid early warning information processing computer sub-system, a power grid wind damage estimation processing computer sub-system and an information issuing sub-system, and each above sub-system is orderly in signal electrical connections. The power grid wind damage early warning system is capable of acquiring timed weather data of meteorological stations in a region covered by the power grid, performing standard pretreatment, then, establishing a gale statistical diagnosis model and a numerical model by means of theory modeling and numerical simulation, analyzing influence degree of the gale on main lines, iron towers and transformer substations, and issuing a related gale early warning information report based on related rules for gale early warning grades, wherein the related rules are specified by the Meteorological Office. And the power grid wind damage early warning system has the advantages of high precision, excellent accuracy, quick real-time response speed and the like, and can provide decision support for gale damage prevention and power grid planning.

The invention belongs to the technical field of unconventional oil gas production increasing transformation and particularly, relates to a shale gas horizontal well refracturing productivity calculation method. The method comprises the following steps of: by using a shale reservoir as an elastic material which is small in deformation, establishing a stress-strain model and a reservoir physical property parameter dynamic model; establishing a continuity equation in kerogen and an inorganic substance; respectively carrying out numerical solution on an established solid deformation control equation and shale gas multiscale seepage equation; bringing geological parameters, physical property parameters and primary fracturing design parameters of a shale gas well reservoir into a shale gas fluid-solid coupling numerical model, and recording a pressure field and hydraulic fracture flow conductivity of the reservoir; and bringing refracturing design parameters into the shale gas fluid-solid coupling numerical model, and calculating productivity of a shale gas well after refracturing. According to the method disclosed by the invention, seepage characteristics and stress-pressure field dynamic variations of the shale reservoir are considered, productivity and a recovery ratio of the shale reservoir after refracturing are predicted, and shale gas horizontal well refracturing optimizationdesign is guided.

Belonging to a rock mechanical determination method, the invention provides a determination method for mesoscopic parameters simulating mechanical properties of an intermittent crack rock. The method includes: firstly sampling an engineering rock mass to be tested, and making a complete and intermittent crack cuboid sample; placing the made sample in a sealed pressure cylinder of a servo test machine, firstly bringing a testing machine pressure head into close contact with the upper end and lower end of the rock sample; applying an axial pressure on the sample according to displacement loading, and conducting loading on the sample till fracture, thus obtaining a sample compression process stress-strain overall process curve, a crack propagation process and a final fracture mode; employing particle flow code in 2 dimensions (PFC2D) to establish a complete sample numerical model, and debugging the mesoscopic parameters continuously to acquire a set of mesoscopic parameters able to reflect complete rock sample test results; establishing an intermittent crack numerical model based on the mesoscopic parameters, carrying out compression process simulation, comparing the simulation results with the intermittent crack rock test results so as to further verify the accuracy of the mesoscopic parameters.

Methods for modeling subsurface reservoirs are provided. In at least one embodiment, the process includes building a numerical model of a reservoir having at least one injection well and at least one producing well, and incorporating at least one of an Eulerian boundary condition (EBC) into each of the at least one injection well and at least one producing well, an advanced constitutive model (ACM) int the reservoir, and an adaptive re-meshing technique (ART) into the reservoir model. Then generating a simulation result from the integrated reservoir model, wherein the simulation result includes at least a volume of produced fluids and produced particulate solids from the reservoir, a volume of injected fluids and injected particulate solids into the reservoir, and a simulation of movement of at least a volume of particulate solids and fluids in the reservoir.

An hydraulics software system for a one-dimensional hydrodynamic numerical model for modeling unsteady flows in sewer and storm water urban drainage systems is provided. The inventive software uses as a numerical model, an implicit four-point, finite-difference solution technique to solve the one-dimensional Saint-Venant equations. The software is designed to select that numerical model, or equation that best describes, or best exhibits the behavior of each of the various structures and flows encountered in complex hydrodynamic systems such as a sewer and storm water drainage systems. Local partial initial modification for subcritical and supercritical transcritical flows is provided. Relaxation for pipe / channel networks are included for achieving computational performance and robustness for commercial software for practical use in water resource engineering.

The invention relates to the field of gas field development research, in particular to a method for predicting dynamic open-flow capacity of fractured horizontal wells for tight sandstone gas reservoirs. The method includes coupling gas reservoirs, fracture and wellbores to obtain gas and liquid two-phase flow productivity equations for optional fracture locations of the fractured horizontal wells; building corresponding fractured horizontal well numerical models on the basis of reservoir stratum parameters and fracture parameters to obtain relation curves and fitting relational expressions of non-dimensional gas release boundaries and gas test time; computing gas release boundaries of the fractured horizontal wells at production phases by the aid of dynamic reserves inverse processes; solving the gas and liquid two-phase flow productivity equations on the basis of phase permeability curves obtained by rock core tests so as to obtain the dynamic open-flow capacity of the fractured horizontal wells at the different production phases. The method has the advantages that influence of difference of physical parameters of reservoir strata, change of the fracture parameters, difference of gas well open-flow test time, external fracturing fluid and movable water of formations on open-flow capacity is taken into consideration, accordingly, the open-flow capacity of the fractured horizontal wells at the different production phases can be predicted by the aid of the method, and the prediction practicality and reliability can be improved.

The invention provides a micro-earthquake focus rapid positioning method based on an arrival time difference database, and belongs to the earthquake focus positioning technology field. The micro-earthquake focus rapid positioning method comprises the steps that a geological numerical model of a monitoring area is established, and mesh division is carried out, and every mesh point is adopted as a characteristic earthquake focus point; by combining with the characteristic earthquake focus point, a sensor position coordinate, and an earthquake focus wave speed, a characteristic earthquake focus point arrival time difference database is established; by using a waveform information acquisition system, the time of the earthquake source waves arriving at different sensors is extracted from waveform signals received from the sensors; the arrival time difference between any two sensors is calculated, and the arrival time difference matrix of the earthquake focus is established, and the matching searching of the arrival time difference matrix and the characteristic earthquake focus point arrival time difference database is carried out to realize the real-time rapid positioning of the earthquake focus. During an actual micro-earthquake monitoring project, the characteristic earthquake focus point arrival time difference database is established in advance, and the function optimization iteration solution of the earthquake focus is not required, and therefore time required by the earthquake focus positioning is greatly reduced, and rock mass engineering dynamic disaster early warning time is effectively reduced.

A non-invasive method for measuring intracranial pressure (ICP) is provided. A numerical model such as finite element model is developed in order to calculate the ICP, strain or stress for patients who suffers from hematoma, edema or tumor. The method can further provide local maximum principle strain that can provide information about possible subsequent brain injury, such as diffuse axonal injury, in sensitive region of the brain. Based on computer tomography or magnetic resonance images an individual diagnosis and treatment plan can be formed for each patient.

The invention relates to a fracture fluid identifying method based on longitudinal wave azimuthal AVO (Amplitude Variation with Offset). Fractures are reservoir spaces of oil gas and migration pathways of fluids, so that the fracture detection is significant on searching oil gas reservoirs. The identification of the fractures is the present research hotspot and difficult point and the identification of types of the fluids in the fractured reservoirs is doubly difficult. According to the method, the identification method of the types of the fluids in the fractures is further researched on the basis of anisotropy fracture inversion. Indicated by the forward modeling of a numerical model, the isotropy gradient and the anisotropy gradient in the world-famous Ruger equation have a certain capability of identifying the types of fracture fluids and particularly distinguishing dry fractures (filled with gas) and wet fractures (filled with oil and water). The method disclosed by the invention has the advantages of capability of being applied to actual data and identifying the types of the fluids in the fractures in areas relatively high in anisotropy degree.

The invention relates to the field of numerical simulation technology and discloses a rock material true triaxial test numerical simulation method considering an intermediate principal stress effect to truly reflect strength characteristics and failure modes of rock materials under a true triaxial stress condition. The method comprises the steps that a finite difference increment iterative computing format based on Mogi-Coulomb failure criteria is subjected to secondary development in FLAC3D numerical simulation software, and a Mogi-Coulomb constitutive model is obtained; and a numerical model of the rock materials under the true triaxial stress condition is established, basic physical mechanical parameters are assigned to the numerical model, and the Mogi-Coulomb constitutive model is loaded and called to perform simulation operation to obtain a corresponding numerical simulation computing result. According to the method, influences of intermediate principal stress on rock strength and the failure modes are fully considered during numerical analysis of the failure characteristics of the rock materials under the true triaxial stress condition, so that the simulation result is truer and more reliable.

The invention discloses a fracture-cavity type carbonate oil reservoir three-dimensional physical model establishing method and relates to the technical field of three-dimensional modeling methods for computer mapping. The fracture-cavity type carbonate oil reservoir three-dimensional physical model establishing method mainly comprises the following steps of selecting a three-dimensional earthquake image corresponding to a target region according to three-dimensional earthquake test data and actual production situation, utilizing a Kriging interpolation method to reconstruct a three-dimensional numerical model through a three-dimensional earthquake cross section image, compiling an engraving program to manufacture a three-dimensional physical model and applying a similarity theory to arrange a well position according to the actual situation of an oil reservoir. By means of the fracture-cavity type carbonate oil reservoir three-dimensional physical model establishing method, the fully-three-dimensional large-sized physical model consistent to an actual underground structure and morphology of the oil reservoir and capable of representing fracture-cavity type carbonate oil reservoir complicated characteristics can be obtained.

The invention relates to a stereoscopic supervision and data mining system and method facing lake blue-green algae disaster. The method comprises the steps that monitoring index data related to the lake blue-green algae disaster is obtained through the three ways of remote sensing monitoring, automatic monitoring and manual patrol inspect, and the obtained data is transmitted to a data center through the internet; the data center conducts data backup and data preprocessing on the received data, and temporal interpolation, spatial interpolation and abnormal decision processing are included; the data is transmitted to a database to be stored after being preprocessed; lake three-dimensional numerical model calculation is conducted according to a data source stored in the database, according to numerical model simulated data, to-be-monitored lake blue-green algae disaster risk evaluation is conducted, and lake blue-green algae disaster forecasting and early warning information is displayed on a public platform. According to the method and system, real-time stereoscopic monitoring on the blue-green algae disaster is achieved, collected data information is fully mined, data processing and model simulation are conducted, and blue-green algae disaster information real-time receiving, rapid and accurate processing and timely release are achieved.

The invention relates to a method of computer simulation of the aerodynamic behaviour of an aircraft (10) in flight close to the ground. This method is used to identify the slope effect relative to the ground effect.To achieve this, a uniform boundary condition comprising a predetermined speed (UP) with a non-zero tangential component and a non-zero normal component is imposed on a plane (21) modelling the ground; and a discrete numerical model of the Navier-Stokes equations is solved by computer on a volume mesh with said boundary condition imposed on said plane (21), so as to obtain a numerical solution for a fluid flow inside a computational domain defined by said mesh.

The invention discloses a numerical model processing method for simulation of a digital instrument control system of a nuclear power plant. The numerical model processing method comprises the steps of: a) firstly, determining important input signals of the digital instrument control system of the nuclear power plant by comprehensively analyzing the main performance indexes or requirements of the digital instrument control system of the nuclear power plant; and b) then according to the input signals and relevant digital sampling module parameters of the digital instrument control system of the nuclear power plant, modifying a numerical model of a simulated program, i.e. respectively increasing digital sampling module models and relevant sampling time steps to the input signals and setting relevant processing time steps for control channels. By conducting digital processing to the instrument control system in the simulated program, the digital instrument control system can be simulated more really and can be optimized, the goal of guiding actual design through simulation researches is achieved, the simulation result is used for guiding field debugging and power operation, and the availability, the reliability and the economy of the nuclear power plant are improved.

It is a structure module amendment method using a cross-modal cross-model, by adjusting the stiffness matrix and the quality matrix of finite element model to make the modal frequencies and mode through calculation match with the actual structure. Therefore for each unit of the finite element model, the stiffness matrix and the quality matrix coefficients have two amendments. Through the comparison of the structural finite element numerical model and experimental actual model, get the correction coefficient of each module, and thus amend the stiffness matrix and quality matrix to achieve the model amendment purpose. The invention has both advantages of adjustment direct and indirect physical matrix without iteration, improving work efficiency. It also can maintain the physical contact between structural models. In addition, the measurement mode required in the method does not require a return of the quality. Combined with the modal parameter identification technologies based on the output response, it can amend the offshore structure model in environment incentives. So the method has more practical value.

The invention discloses a microscomic numerical model generation method considering rock structure characteristics and mineral composition. Microscopic structure characteristics and mineral composition of rock can be considered, a microscopic numerical model reflecting the rock structure characteristics and the mineral composition is established, and rock mechanics numerical simulation can be carried out more truly. The method comprises the following steps: carrying out rock structure characteristic analysis on a rock sample to obtain the size, form, mineral type and other information of mineral particles; simplifying the mineral particles with irregular shapes into balls with reduced sizes, and rearranging the particles by adopting a particle size expansion method, and obtaining a compact structure; secondly, extracting information such as spatial positions and sizes of particles, and performing Voronoi graph-based spatial region division on the particle assembly; and finally, performing finite element mesh division on the obtained Voronoi polycrystal structure, and inserting thickness-free interface units into mineral particle boundaries and the interiors of particles to generate a finite element numerical model capable of reflecting a rock structure and a lithofacies structure.

The invention provides a pollution source prediction method, a pollution source prediction device and electronic equipment, and relates to the technical field of pollution prediction, which comprisesthe following steps of: obtaining mesoscale meteorological prediction data and emission list data of a to-be-predicted destination; Wherein emissions and emission sources corresponding to the emissions are recorded in the emission list data; according to the Industry type, combining the emission sources to obtain reference emission data, inputting the mesoscale meteorological prediction data and the reference emission data into an air quality numerical model to obtain air pollution prediction data, and calculating the air pollution refined prediction contribution rate according to emission list data and the air pollution prediction data. The calculation amount of the air quality numerical model can be reduced, and the calculation speed is increased.