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公开(公告)号:US12039239B2
公开(公告)日:2024-07-16
申请号:US17183962
申请日:2021-02-24
Applicant: Valmet Automation Oy
Inventor: Jarmo Mansikkasalo
CPC classification number: G06F30/28 , D21C3/228 , D21C11/0057 , F23G7/04 , G06F30/27 , G06F2113/08
Abstract: A method for obtaining information on quality of combustion of a liquor in a chemical recovery boiler. The method comprises entering a value of a first input parameter to a computational model configured to determine, based on the value of the first input parameter, a value of the quality of combustion of the liquor in the chemical recovery boiler, and at a first time, running the computational model to obtain a first modelling result. The method comprises measuring, from the chemical recovery boiler a value indicative of carryover to obtain a measurement result; comparing the first modelling result with [a] the measurement result or [b] a result derived from the measurement result, to obtain a primary comparison result; and adjusting the value of the first input parameter based on the primary comparison result to obtain an adjusted value of the first input parameter. The method comprises entering the adjusted value of the first input parameter to the computational model, and at a second time, running the computational model to obtain the information on quality of combustion of the liquor in the chemical recovery boiler.
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72.
公开(公告)号:US12012832B1
公开(公告)日:2024-06-18
申请号:US18226472
申请日:2023-07-26
Applicant: CHINA UNIVERSITY OF PETROLEUM (EAST CHINA)
Inventor: Sen Wang , Kun Wang , Qihong Feng , Shunming Li , Yijing Du , Zheng Wu , Xiang Wang , Jiyuan Zhang , Xianmin Zhang
IPC: E21B43/16 , G01N15/08 , G01N33/24 , G06F30/28 , G06F113/08
CPC classification number: E21B43/162 , G01N15/0826 , G06F30/28 , G06F2113/08
Abstract: The present disclosure relates to a method and system for predicting a time-varying principle of waterflooding oil reservoir formation parameters. Firstly, a T2 spectrum-pore size relation model is built according to a measured pore size distribution curve and a measured T2 spectrum. A T2 spectrum of a rock sample at different water injection amounts during a waterflooding physical simulation experiment is acquired. The acquired T2 spectrum at different water injection amounts is then converted into a pore size distribution at different water injection amounts, and a pore network model at different water injection amounts is built with the pore size distribution. Oil-water two-phase flow simulation is performed, and a corresponding oil-water two-phase relative permeability curve of the rock sample at different pore volume (PV) multiples is obtained eventually. The oil-water two-phase relative permeability curve is the formation parameters in the waterflooding oil reservoir.
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公开(公告)号:US20240119185A1
公开(公告)日:2024-04-11
申请号:US17938690
申请日:2022-10-07
Inventor: Sarah N. Hankins , Yuqing Zhou , Ercan Dede , Danny Lohan
IPC: G06F30/10
CPC classification number: G06F30/10 , G06F2113/08
Abstract: One or more multi-zoned microreactor flow field configurations that facilitate optimized reaction-fluid performance, and one or more methods of designing such multi-zoned microreactor flow fields.
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74.
公开(公告)号:US11954417B1
公开(公告)日:2024-04-09
申请号:US18504557
申请日:2023-11-08
Applicant: CHINA UNIVERSITY OF PETROLEUM (EAST CHINA)
Inventor: Hai Sun , Liang Zhou , Dongyan Fan , Lei Zhang , Jun Yao , Yongfei Yang , Kai Zhang , Qian Sang , Xia Yan , Lei Liu , Fei Luo , Yuda Kan
IPC: G06F30/28 , G06F30/27 , G06F113/08
CPC classification number: G06F30/28 , G06F30/27 , G06F2113/08
Abstract: Disclosed a method for predicting permeability of a multi-mineral phase digital core based on deep learning. In the present disclosure, a three-dimensional digital core is constructed and a pore structure is randomly generated; after a plurality of multi-mineral digital core images is acquired by performing image segmentation on the three-dimensional digital core, permeability corresponding to each of the multi-mineral digital core images is acquired by simulation using multi-physics field simulation software and a multi-mineral digital core data set is constructed based on the plurality of multi-mineral digital core images and the permeability corresponding to each of the multi-mineral digital core images; an SE-ResNet18 convolutional neural network is constructed and trained with the multi-mineral digital core data set; and an image of a multi-mineral core to be predicted is input into the trained SE-ResNet18 convolutional neural network to determine the permeability of the multi-mineral core.
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75.
公开(公告)号:US20240054270A1
公开(公告)日:2024-02-15
申请号:US18170673
申请日:2023-02-17
Applicant: KABUSHIKI KAISHA TOSHIBA
Inventor: Aya KITOH , Tomohiko JIMBO
IPC: G06F30/28
CPC classification number: G06F30/28 , G06F2113/08
Abstract: According to one embodiment, a flow behavior prediction system includes a storage unit, an acquisition unit, and a three-dimensional estimation unit. The storage unit stores therein two-dimensional data of a plurality of basic shapes forming an object. The acquisition unit acquires first state data including a velocity of a fluid for the object at a first time point and a direction of the fluid at the first time point. The three-dimensional estimation unit estimates second state data including a velocity of the fluid for the object at a second time point that is more advanced than the first time point and a direction of the fluid at the second time point using a three-dimensional estimation network to estimate a three-dimensional behavior of the fluid for the object from a two-dimensional behavior of the fluid for the object estimated from the two-dimensional data and the first state data.
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76.
公开(公告)号:US20240054266A1
公开(公告)日:2024-02-15
申请号:US18298356
申请日:2023-04-10
Applicant: SUMITOMO HEAVY INDUSTRIES, LTD.
Inventor: Masato Hirota
CPC classification number: G06F30/25 , G06F30/28 , G06F2113/08
Abstract: A simulation method of represents a fluid as a plurality of calculation particles, adds a physical quantity to each of the plurality of calculation particles, disposes the plurality of calculation particles in an analysis space, and develops the physical quantity added to each of the plurality of calculation particles and positions of the plurality of calculation particles over time by solving a governing equation. The simulation method includes evaluating an excess or deficiency of spatial resolution depending on sizes of the plurality of calculation particles, for each of the plurality of calculation particles, according to a state of a flow field represented by the plurality of calculation particles; and adjusting the spatial resolution, according to a result of the evaluation of the excess or deficiency of the spatial resolution.
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公开(公告)号:US11887737B2
公开(公告)日:2024-01-30
申请号:US16578140
申请日:2019-09-20
Applicant: ANSYS, INC.
Inventor: Clémentine Shao , Michel Rochette , Valery Morgenthaler
IPC: G16H50/50 , A61B5/021 , A61B5/02 , A61B5/00 , A61B5/0285 , G06F113/08
CPC classification number: G16H50/50 , A61B5/021 , A61B5/02007 , A61B5/0285 , A61B5/7278 , A63F2300/66 , G06F2113/08
Abstract: A system and method of modeling flow of a vasculature in near real-time, is described. A vessel segment of the vasculature is modeled by a reduced order model, and a remainder of the vasculature is modeled by a 0D model. The reduced order model is generated using boundary conditions generated by a 0D model of the entire vasculature. Moreover, the reduced order model of the vessel segment and the 0D model of the remainder of the vasculature can be coupled to simulate flow that can be compared to actual flow measurements to personalize the 0D model of the remainder of the vasculature for a patient. Accordingly, a physician can update parameters of the personalized vascular system model to predict the effects of treatment protocols, including exercise or therapeutic substances, on the patient. Other embodiments are also described and claimed.
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公开(公告)号:US11880638B2
公开(公告)日:2024-01-23
申请号:US17106938
申请日:2020-11-30
Applicant: CANON KABUSHIKI KAISHA
Inventor: Shintaro Narioka , Yuichiro Oguchi
IPC: G06F30/28 , G03F7/00 , G06F111/10 , G06F113/08
CPC classification number: G06F30/28 , G03F7/0002 , G06F2111/10 , G06F2113/08
Abstract: A simulation method predicts a behavior of a curable composition in a process of bringing droplets of the curable composition arranged on first and second members into contact with each other, and forming a film of the curable composition on the first member. The method includes inputting a physical property value of a gas between the first and second members, inputting a movement profile of the second member with respect to the first member when bringing the droplets of the curable composition on the first and second members into contact with each other, obtaining a pressure of the gas between the first and second members based on the physical property value and the input movement profile, and predicting, based on the pressure, an amount of a residual gas confined among the droplets by the contact between the droplets and the second member.
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公开(公告)号:US11809793B2
公开(公告)日:2023-11-07
申请号:US16957978
申请日:2019-01-03
Applicant: Roxar Software Solutions AS
Inventor: Gudbrand Nerby
IPC: G06F30/28 , G01V99/00 , G06F113/08
CPC classification number: G06F30/28 , G01V99/005 , G06F2113/08
Abstract: The present invention relates to a system and method for modelling flow conditions in a well system, the well system being represented by a number of branches (1,1a) conducting hydrocarbons from at least one branch entry point (3,3a) to a branch exit point (2), at least one of said branches constituting a global well system exit point, wherein each branch has a branch entry point (3,3a) being provided with a least one flow inlet (4) and being related to known boundary conditions and with a input flow control unit (7) being related to adjustable flow characteristics for controlling the flow through said input, said boundary conditions including predetermined data concerning at least one of pressure, temperature and flow at said input flow control unit, and said branch conduit includes an branch flow control unit (6), having adjustable flow characteristics for controlling the flow through the branch.
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公开(公告)号:US11803680B2
公开(公告)日:2023-10-31
申请号:US17197017
申请日:2021-03-09
Inventor: Jinqiong Zhao , Jinyou Lu , Shiming Yao , Min Wang , Hua Ge , Zhanfeng Cui , Jie Zhang , Ping Gong
IPC: G06F30/28 , G01C13/00 , G06F17/15 , G06F17/40 , G06F113/08 , G06F111/10
CPC classification number: G06F30/28 , G01C13/002 , G06F17/15 , G06F17/40 , G06F2111/10 , G06F2113/08
Abstract: A comprehensive reconstruction method for long-series sediment data in data-lacking areas includes steps of: collecting hydrological and sediment data of a target river section; calculating sediment data in data-rich years with a flow-sediment content annual relationship curve method; calculating sediment data in only water quality and sediment test years with a correlation method between water quality and sediment data and hydrological station sediment data; calculating sediment data in data-lacking years with an adjacent station same year flow-sediment content relationship curve method; and calculating sediment data in remaining years with a multi-year average flow-sediment content relationship curve method. The method comprehensively adopts four methods to reconstruct the long-series sediment data based on sediment actual observation and characteristics in the data-lacking areas, which can make up for the limitations and deficiencies between the four methods, and the required data is easier to collect than those in the conventional methods.
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