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公开(公告)号：US20250101850A1
公开(公告)日：2025-03-27
申请号：US18474986
申请日：2023-09-26
Applicant: ARAMCO SERVICES COMPANY
Inventor： Chicheng Xu , Tao Lin , Zainab Al Ibrahim , Yaser Abdullah Alzayer , Weichang Li , Lei Fu
Abstract: A method may use a core sampling system for collecting a core sample with a reference log of a first property. The method may use a wellbore logging system for recording uncalibrated well logs with a target log of the first property. The method may use a computer processor for obtaining an uncalibrated geological model, determining a bulk-shift depth correction based on a first cost function, forming a bulk-shifted log by applying the bulk-shift depth correction to the target log, identifying a plurality of log event pairs, determining, for each of the log event pairs, a local-shift depth correction based on a second cost function, forming a local-shift depth correction table from the local-shift depth correction for the log event pairs, and forming a calibrated geological model based, at least in part, on the uncalibrated geological model and the local-shift depth correction table.
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公开(公告)号：US20250067172A1
公开(公告)日：2025-02-27
申请号：US18453768
申请日：2023-08-22
Applicant: ARAMCO SERVICES COMPANY
Inventor： Chicheng Xu , Tao Lin , Lei Fu , Yaser Abdullah Alzayer , Weichang Li
IPC: E21B49/00
Abstract: Systems and methods for automatic well log normalization are disclosed. The methods include acquiring a target log in a target well and a reference log in a reference well; identifying a stratigraphic interval in the target well and in the reference well; projecting the target log from the target well onto a pseudo target log in a pseudo target well and projecting the reference log from the reference well onto a pseudo reference log in a pseudo reference well; identifying lithologies from a first histogram of the pseudo target log and a second histogram of the pseudo reference log; determining, using the first histogram and the second histogram a regression relationship between the pseudo target log and the pseudo reference log; applying the regression relationship to the pseudo target log to generate a normalized pseudo target log; and determining a reservoir quality of the reservoir that produces hydrocarbons.
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公开(公告)号：US12223692B2
公开(公告)日：2025-02-11
申请号：US17580079
申请日：2022-01-20
Applicant: ARAMCO SERVICES COMPANY
Inventor： Chicheng Xu , Weichang Li , Yaser Alzayer
IPC: G06V10/764 , E21B47/002 , G01V3/02 , G01V3/14 , G06N3/08 , G06V10/50 , G06V10/56 , G06V10/762 , G06V10/771 , G06V10/82
Abstract: A method may include obtaining core image data regarding a geological region of interest. The method may further include obtaining well log data regarding the geological region of interest from one or more wells. The method may further include determining a sliding window that corresponds to a predetermined window size. The method may further include determining various quantitative image attributes using the core image data, the well log data, and the sliding window. The quantitative image attributes may be determined in a continuous manner by moving the sliding window along the core image data. The method may further include generating predicted rock data for the geological region of interest using the quantitative image attributes, a machine-learning algorithm, and a machine-learning model.
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公开(公告)号：US20220237891A1
公开(公告)日：2022-07-28
申请号：US17580079
申请日：2022-01-20
Applicant: ARAMCO SERVICES COMPANY
Inventor： Chicheng Xu , Weichang Li , Yaser Alzayer
IPC: G06V10/764 , G06V10/56 , G06V10/82 , G06V10/762 , G06V10/50 , G06V10/771 , G01V3/14 , G01V3/02 , G06N3/08 , E21B47/002
Abstract: A method may include obtaining core image data regarding a geological region of interest. The method may further include obtaining well log data regarding the geological region of interest from one or more wells. The method may further include determining a sliding window that corresponds to a predetermined window size. The method may further include determining various quantitative image attributes using the core image data, the well log data, and the sliding window. The quantitative image attributes may be determined in a continuous manner by moving the sliding window along the core image data. The method may further include generating predicted rock data for the geological region of interest using the quantitative image attributes, a machine-learning algorithm, and a machine-learning model.
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5.发明申请公开(公告)号：US20250059864A1
公开(公告)日：2025-02-20
申请号：US18450108
申请日：2023-08-15
Applicant: ARAMCO SERVICES COMPANY
Inventor： Lei Fu , Weichang Li , Abdulaziz N. Almutairi
IPC: E21B43/25
Abstract: A method for determining drilling fluid properties. The method includes obtaining current drilling fluid properties for a drilling fluid used in a drilling operation, obtaining operational parameters related to the drilling operation, and obtaining a treatment, wherein the treatment describes one or more additives or processes to be applied the drilling fluid. The method further includes processing the current drilling fluid properties, the operational parameters, and the treatment with a treatment prediction system to determine a prediction for drilling fluid properties after treatment. The method further includes applying the treatment to the drilling fluid and using the drilling fluid, after application of the treatment, in the drilling operation.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20250044469A1
公开(公告)日：2025-02-06
申请号：US18362720
申请日：2023-07-31
Applicant: ARAMCO SERVICES COMPANY
Inventor： Yong Ma , Weichang Li , Lei Fu
Abstract: A system for enhancing traveltime information in a seismic dataset and determining a velocity model. The system includes a first initial velocity model, a forward modelling procedure, a machine-learned model, a drilling system with a wellbore planning system, and a computer. The computer is configured to: receive a non-synthetic seismic data set for a subsurface region of interest; perturb the first initial velocity model forming a first plurality of velocity models; simulate, with the forward modelling procedure, a first plurality of seismic data sets; form a first plurality of transformed seismic data sets with enhanced traveltime; train the machine-learned model using the first plurality of velocity models and the first plurality of transformed seismic data sets; transform the non-synthetic seismic data set to a non-synthetic transformed seismic data set; and process the non-synthetic seismic data set with the trained machine-learned model to predict a velocity model for the subsurface region.
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公开(公告)号：US20250078472A1
公开(公告)日：2025-03-06
申请号：US18458005
申请日：2023-08-29
Applicant: ARAMCO SERVICES COMPANY
Inventor： Weichang Li , Osama B. Dabbousi , Saif S. Alhajri , Mustafa Ali H. Al Ibrahim
IPC: G06V10/774 , G06F16/951 , G06T7/40 , G06V10/764 , G06V20/70
Abstract: A method and a system for generating a labeled benchmark dataset are disclosed. The method includes obtaining a plurality of sources related to a thin section using web scraping and extracting a plurality of images from the plurality of sources related to the thin section, the plurality of images including a plurality of thin section images and a plurality of non-thin section images. Further, the method includes determining the plurality of thin section images from the plurality of extracted images and generating a classification of the plurality of thin section images based on a given classification criteria. The geological thin-section based machine learning models is trained based on the generated classification of the plurality of thin section images and a wellbore drilling plan is generated based on the geological thin-section based machine learning models.
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公开(公告)号：US20240026785A1
公开(公告)日：2024-01-25
申请号：US17814449
申请日：2022-07-22
Applicant: ARAMCO SERVICES COMPANY
Inventor： Chicheng Xu , Mohamed Larbi Zeghlache , Tao Lin , Yuchen Jin , Weichang Li , Olanrewaju Abudu
IPC: E21B49/00
CPC classification number: E21B49/003
Abstract: A method to perform a field operation with well log repeatability verification is disclosed. The method includes generating, by repeatedly performing well logging of a wellbore penetrating a subterranean formation in a field, a set of well log data files each comprising a plurality of data channels, each data channel comprising a series of measurement data records representing a downhole property along a depth in the wellbore, analyzing, by a computer processor, a main log and a repeat log of the set of well log data files to determine a repeatability measure of the set of well log data files, presenting, using a graphical user interface, the repeatability measure to a user, and facilitating, based on a user input in response to presenting the repeatability measure, the field operation.
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公开(公告)号：US20240026784A1
公开(公告)日：2024-01-25
申请号：US17814447
申请日：2022-07-22
Applicant: ARAMCO SERVICES COMPANY
Inventor： Chicheng Xu , Mohamed Larbi Zeghlache , Tao Lin , Yuchen Jin , Weichang Li
IPC: E21B49/00
CPC classification number: E21B49/003
Abstract: A method to perform a field operation with rapid well log validation is disclosed. The method includes generating, by performing well logging of a wellbore penetrating a subterranean formation in a field, a well log data file including a number of data channels, each data channel including a series of measurement data records representing a downhole property along a depth in the wellbore, analyzing, by a computer processor, the data channels to determine a quality level of said each data channel, categorizing, by the computer processor, the data channels according to respective values of the quality level to generate a validation summary of the well log data file, presenting, using a graphical user interface, the validation summary to a user, and facilitating, based on a user input in response to presenting the validation summary, the field operation.
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10.发明公开公开(公告)号：US20230408718A1
公开(公告)日：2023-12-21
申请号：US17807100
申请日：2022-06-15
Applicant: ARAMCO SERVICES COMPANY
Inventor： Yong Ma , Weichang Li
CPC classification number: G01V1/301 , G01V1/303 , G01V1/104 , G01V1/282 , G01V2210/6222
Abstract: A method which includes obtaining an initial velocity model and perturbing the initial velocity model to form a first plurality of velocity models. The method includes using a forward model to simulate seismic data sets from the first plurality of velocity models and transforming the seismic data sets to the wavenumber-time domain. The method includes training a machine-learned model using the first plurality of velocity models and the transformed seismic data sets, wherein the machine-learned model is configured to accept transformed seismic data. The method includes obtaining a second seismic data set for a subsurface region of interest, wherein the second seismic data set is acquired according to a second survey configuration and transforming the second seismic data set to the wavenumber-time domain. The method further includes processing the second transformed data set with the trained machine-learned model to predict a second velocity model for the subsurface region of interest.
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