-
公开(公告)号:US12123820B1
公开(公告)日:2024-10-22
申请号:US18648343
申请日:2024-04-27
Applicant: Chongqing University
Inventor: Le Han , Ting Zou , Jian Liu , Lu Zhou , Haoquan Zhang , Jingmei Yao
IPC: G01N15/08 , B01D65/10 , C02F1/46 , G01N15/12 , G06F30/27 , G06N3/04 , G06N3/044 , G06N3/0464 , G06N3/08 , G06N20/00 , G16C20/70
CPC classification number: G01N15/08 , B01D65/109 , C02F1/46 , C02F1/4602 , G01N15/12 , G06F30/27 , G06N3/044 , G06N3/0464 , G06N3/08 , G06N20/00 , G16C20/70 , G01N2015/0853
Abstract: The present application introduces a membrane fouling warning methodology grounded in machine learning. It utilizes a machine learning-based membrane fouling prediction model to automatically forecast and generate electrochemical information values, which characterize the extent of membrane fouling at various time points, based on influent water quality parameters. It then acquires the electrochemical information values Zt at a moment t and Z++Δt at a moment t+Δt. Subsequently, it computes and assesses the respective fouling levels using the electrochemical information values derived from the membrane fouling prediction model. Finally, it issues an early warning signal contingent upon the determined warning level. This methodology facilitates proactive understanding and management of membrane fouling, thereby sustaining the normal operation of the membrane fouling treatment system, mitigating the propensity for membrane assembly fouling, and prolonging the operational lifespan of the membrane assembly.
-
公开(公告)号:US20240280461A1
公开(公告)日:2024-08-22
申请号:US18172870
申请日:2023-02-22
Applicant: SAUDI ARABIAN OIL COMPANY
Inventor: Mandefro Belayneh WOLDEAMANUEL , Mohammed ALJASEM , Paul TARABBIA , Tomislav ILIJAS
IPC: G01N15/08 , G01N23/046 , G01N23/083 , G01N33/24
CPC classification number: G01N15/08 , G01N23/046 , G01N23/083 , G01N33/24 , G01N2015/0846 , G01N2223/616
Abstract: In some examples, a method for identifying secondary porosities can include correlating multiple sets of data of a subsurface formation, identifying one or more secondary porosities based on the correlated data, and determining a volumetric estimation of the subsurface formation based on the one or more secondary porosities. The multiple sets of data are selected from one or more of core sample images, borehole images, caliper enlargement data, bad-hole flag data, and loss circulation data.
-
公开(公告)号:US20240192155A1
公开(公告)日:2024-06-13
申请号:US18077738
申请日:2022-12-08
Inventor: Mahmoud ELSAYED , Mohamed MAHMOUD , Murtada Saleh ALJAWAD , Ammar EL-HUSSEINY , Ahmed BINGHANIM
CPC classification number: G01N24/081 , G01N15/08 , G01N33/24
Abstract: A method to measure acid diversion efficiency in rock samples. The method includes measuring a first porosity and a permeability of the rock samples. The method includes flooding a core region of the rock sample with a hydrochloric acid (HCl) system to create a wormhole, wherein during the flooding the HCl system penetrates from a first end of the rock sample to a second end of the rock sample to form the wormhole. The method includes measuring a second porosity, a pore size distribution, and a diffusion tortuosity of the rock samples with NMR. The method includes establishing a diversion index (DI) based off a ratio between the diffusion tortuosity in a first direction and the diffusion tortuosity in a second direction. The method includes determining the acid diversion efficiency based off the diversion index.
-
4.
公开(公告)号:US20240069577A1
公开(公告)日:2024-02-29
申请号:US18239493
申请日:2023-08-29
Applicant: UNIVERSITY OF WYOMING
Inventor: Mohammad SEDGHI , Yanbin GONG , Mohammad PIRI
CPC classification number: G05D7/0617 , G01N15/08
Abstract: A method and system for predicting dynamic two-phase fluid flow in a mixed-wet porous medium by one or more central processing units (CPUs), comprising determining a set of possible movements of main terminal menisci (MTMs) within a pore network model (PNM) of a porous media sample having a set of pore elements, generating pressure fields for each of the set of movements of MTMs, based on at least an inlet capillary pressure or a set of flow injection boundary conditions, based on the pressure fields, determining a set of local capillary pressures and a set of arc meniscus (AM) locations, generating a set of fluid displacements potentials based on at least the set of local capillary pressures and a set of threshold capillary pressures, and determining a highest positive fluid displacement potential from the set of fluid displacements.
-
公开(公告)号:US11879825B2
公开(公告)日:2024-01-23
申请号:US17414421
申请日:2019-12-16
Applicant: SHELL OIL COMPANY
Inventor: Nishank Saxena , Amie Marie Hows , Ronny Hofmann , Matthias Appel , John Justin Freeman
IPC: G01N15/08 , G06T7/11 , G01N23/046 , G01N23/083 , G01N33/24
CPC classification number: G01N15/08 , G01N23/046 , G01N23/083 , G01N33/24 , G06T7/11 , G01N2015/0846 , G01N2223/04 , G01N2223/419 , G01N2223/616 , G06T2207/10081 , G06T2207/20081 , G06T2207/30181
Abstract: The present invention provides a method for estimating the permeability of rock from a digital image of the rock. A three-dimensional image of a rock is obtained and segmented, and an image permeability is determined from the segmented image of the rock. Permeability correction factors are obtained from the segmented image and from a non-wetting liquid capillary pressure curve derived from the segmented image, and the permeability correction parameters are applied to the image permeability to obtain a corrected image permeability of the rock.
-
公开(公告)号:US11855283B2
公开(公告)日:2023-12-26
申请号:US17962637
申请日:2022-10-10
Applicant: SUMITOMO METAL MINING CO., LTD.
Inventor: Hiroko Oshita , Kazuomi Ryoshi , Taira Aida , Koji Yamaji , Jiro Okada
IPC: H01M4/505 , H01M4/525 , H01M10/0525 , C01G53/00 , G01N15/08 , G01N21/71 , G01N27/416 , H01M4/02
CPC classification number: H01M4/505 , C01G53/50 , G01N15/08 , G01N21/71 , G01N27/4167 , H01M4/525 , H01M10/0525 , C01P2004/03 , C01P2004/50 , C01P2004/61 , C01P2004/90 , C01P2006/12 , C01P2006/40 , G01N2015/0846 , H01M2004/021 , H01M2004/028
Abstract: The present invention provides a method of evaluating a characteristic of a positive electrode active material for non-aqueous electrolyte secondary batteries, including a lithium-metal composite oxide powder including a secondary particle configured by aggregating primary particles containing lithium, nickel, manganese, and cobalt, or a lithium-metal composite oxide powder including both the primary particles and the secondary particle. The secondary particle has a porous internal structure. The characteristic being evaluated is a slurry pH, a soluble lithium content rate, or a porosity.
-
公开(公告)号:US11852576B2
公开(公告)日:2023-12-26
申请号:US17649473
申请日:2022-01-31
Applicant: SAUDI ARABIAN OIL COMPANY
Inventor: Jun Gao , Marwah Mufid AlSinan , Hyung Tae Kwak
CPC classification number: G01N15/088 , E21B49/02 , G01N15/08 , G01N24/081 , G01N33/24 , G01V3/32
Abstract: A method for determining the pore size distribution in a reservoir, including the steps: drilling a core sample out of the reservoir, determining a porosity distribution along the core sample, obtaining T2-distributions at different saturation levels of the core sample with formation brine, performing time domain subtraction on the T2-distributions to obtain T2-distributions at all saturation levels, determining the pore throat size distribution along the core sample, determining first porosities from the T2-distributions that correspond to second porosities of the pore throat size distribution for each saturation level, determining T2-distributions at the first porosities from the T2-distributions, determining pore throat sizes at the second porosities from the pore throat size distributions, plotting the pore throat sizes as function of the relaxation times T2 to obtain the surface relaxation, and determining the pore size distribution of the reservoir.
-
公开(公告)号:US20230408393A1
公开(公告)日:2023-12-21
申请号:US17749056
申请日:2022-05-19
Applicant: Taiwan Semiconductor Manufacturing Co., Ltd.
Inventor: En Tian LIN , Chih-Chiang TSENG , Chwen YU , Chiao-Ling WENG
CPC classification number: G01N15/08 , H01L21/67017 , B01D65/02 , B01D65/10 , B01D63/067 , B01D2321/2058 , B01D2313/44 , B01D2313/18 , B01D2313/50 , B01D2321/04 , B01D2321/40 , G01N2015/084
Abstract: The present disclosure is directed to various methods and systems for monitoring real time efficiency of filters as well as testing the filters with tests that are similar to real world use of the filters to update technical specifications of the filters. The methods and systems monitoring the real time efficiency of the filters may utilize one or more particle counters to monitor their efficiency in real time. The data collected by the particle counters may be utilized to determine whether respective ones of the filters need to be replaced or regenerated by a backwash regeneration process. The updated technical specifications from the real world testing of the filters may be utilized in determining whether respective ones of the filters need to be replaced or regenerated. These real world testing and real time monitoring reduces the likelihood that workpieces are exposed to contaminant particles reducing scrap costs.
-
公开(公告)号:US11679385B2
公开(公告)日:2023-06-20
申请号:US17124375
申请日:2020-12-16
Applicant: ENTEGRIS, INC.
Inventor: John C. Gaudreau , Evan Warniers , Edward J. Washington
CPC classification number: B01L3/50 , B01D46/0086 , G01N15/08 , B01D2273/18 , B01L2300/043 , G01N2015/084
Abstract: A media sample holder includes a base and a plurality of retention assemblies including retaining tabs and opposing flexible release lever arms, configured to allow attachment of the base to an attachment adapter. The media sample holder can attach a media sample on or near a filter. The media sample holder held in the media sample holder can have a different removal efficiency curve than a removal efficiency curve of the filter. The media sample can be placed at or near the filter for a period of time, then tested to determine the status and/or life of the filter based on the relationship between the remaining life, exposure, or removal efficiency of the filter and the exposure or removal efficiency of the tested media sample.
-
公开(公告)号:US20230186126A1
公开(公告)日:2023-06-15
申请号:US16791571
申请日:2020-02-14
Inventor: Md Rafiul HASSAN , Muhammad Imtiaz HOSSAIN , Abdulazeez ABDULRAHEEM
CPC classification number: G06N7/01 , G06N3/086 , G01N15/08 , E21B49/00 , G01N33/246
Abstract: Systems, methods, and apparatuses are provided for permeability prediction. The method acquires data associated with one or more geological formations, calculates, using processing circuitry and a trained Hidden Markov model, log-likelihood values to group the data into a plurality of clusters, and trains an artificial neural network for each of the plurality of clusters when the mode of operation is training mode. Further, the method acquires one or more formation properties corresponding to a geological formation, determines using the trained Hidden Markov model, a log-likelihood score associated with the one or more formation properties, identifies a cluster associated with the one or more formation properties as a function of the log-likelihood score, and predicts a permeability based at least in part on the one or more formation properties and a trained artificial neural network associated with the identified cluster when the mode of operation is forecasting mode.
-
-
-
-
-
-
-
-
-