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1.发明公开公开(公告)号：US20240201116A1
公开(公告)日：2024-06-20
申请号：US18116123
申请日：2023-03-01
Applicant: Honeywell International Inc.
Inventor： Shahrul Azman Bin Zainal Abidin , Madhukar Madhavamurthy Gundappa , Ramesh Murugan Natarajan
CPC classification number: G01N25/4873 , G06Q50/26
Abstract: Methods, apparatuses, and computer program products for determining amounts of greenhouse gas emissions are provided. For example, a computer-implemented method may include determining an amount of each of a plurality of constituent components of a fuel being used, determining one or more properties of the fuel, generating one or more emission factors for the fuel, determining an amount of the fuel used, and using the one or more generated emission factors, determining an emitted amount of a corresponding one or more greenhouse gases. Each emission factor corresponds to a different greenhouse gas. Each emission factor is generated using at least one of the constituent components and at least one of the properties.
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公开(公告)号：US20240200775A1
公开(公告)日：2024-06-20
申请号：US18118379
申请日：2023-03-07
Applicant: Honeywell International Inc.
IPC: F23G7/08
CPC classification number: F23G7/08 , F23G2207/10 , F23G2900/55003
Abstract: Systems, apparatuses, methods, and computer products for segregating flaring and/or venting volumes are provided, including for segregating flaring and/or venting into one or more classifications using machine learning approaches. For example, a method may include receiving sensor data associated with a flare from at least a first sensor, determining a first gas volume of a first gas associated with the flare, and determining, via a machine learning process, one or more classifications of the flare based on the sensor data and the first gas volume. The classifications may be chosen from a set of classifications including routine flaring, non-routine flaring, and safety flaring.
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Patent Agency Ranking
公开(公告)号：US20240202902A1
公开(公告)日：2024-06-20
申请号：US18183629
申请日：2023-03-14
Applicant: HONEYWELL INTERNATIONAL INC.
Inventor： Shahrul Azman Bin Zainal Abidin , Madhukar Madhavamurthy Gundappa , Ramesh Murugan Natarajan
CPC classification number: G06T7/0004 , G06F30/20 , G06T7/70 , G06T7/90 , G06T2207/20081
Abstract: Systems, apparatuses, methods, and computer program products for determining flaring efficiency based on captured image data and operations data are provided herein. For example, a computer-implemented method for determining flaring efficiency may include receiving operations data representing operations of a plant. The computer-implemented method may include generating a simulation model of the plant based at least in part on the operations data. The computer-implemented method may include applying the simulation model of the plant to determine a first flaring efficiency estimate. The computer-implemented method may include receiving captured image data of a flare flame associated with the plant. The computer-implemented method may include analyzing the captured image data to determine a second flaring efficiency estimate. The computer-implemented method may include generating a flaring efficiency estimate based on at least one of the first flaring efficiency estimate and the second flaring efficiency estimate.
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公开(公告)号：US20240202404A1
公开(公告)日：2024-06-20
申请号：US18176780
申请日：2023-03-01
Applicant: Honeywell International Inc.
Inventor： Shahrul Azman Bin Zainal Abidin , Madhukar Madhavamurthy Gundappa , Ramesh Murugan Natarajan
IPC: G06F30/27
CPC classification number: G06F30/27
Abstract: Methods, apparatuses, and computer program products for predicting fugitive leaks are provided. For example, a computer-implemented method may include receiving current operating conditions data associated with current operation of one or more operational systems and generating, using a fugitive leak prediction model, fugitive leak predictions corresponding to the current operation of the one or more operational systems. The fugitive leak prediction model may be a machine learning model trained based at least in part on historical operating conditions data associated with past operation of the one or more operational systems and historical fugitive emissions data associated with the past operation of the one or more operational systems, and the fugitive leak prediction model may be configured to generate the fugitive leak predictions based at least in part on the current operating conditions data
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5.发明公开公开(公告)号：US20240202403A1
公开(公告)日：2024-06-20
申请号：US18176763
申请日：2023-03-01
Applicant: Honeywell International Inc.
Inventor： Shahrul Azman Bin Zainal Abidin , Madhukar Madhavamurthy Gundappa , Ramesh Murugan Natarajan
IPC: G06F30/27
CPC classification number: G06F30/27
Abstract: Methods, apparatuses, and computer program products for predicting methane emissions intensity are provided. For example, a computer-implemented method may include receiving projected production parameters and emissions reduction strategy information associated with one or more operational systems for a period of time and generating, using a methane emissions intensity prediction model, methane emissions intensity predictions based on the projected production parameters and the emissions reduction strategy information along with historical operational data and historical emissions data for the one or more operational systems. The methane emissions intensity prediction model may be a machine learning model trained on the historical operational data and historical emissions data and possibly simulated emissions data.
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6.发明公开公开(公告)号：US20240272133A1
公开(公告)日：2024-08-15
申请号：US18169450
申请日：2023-02-15
Applicant: Honeywell International Inc.
Inventor： Ramesh Murugan Natarajan , Shahrul Azman Bin Zainal Abidin , Madhukar Gundappa Madhavamurthy
IPC: G01N33/00
CPC classification number: G01N33/0062 , G01N33/0068
Abstract: Methods, apparatuses, and computer program products for generating optimized emissions quantification are provided. For example, a computer-implemented method may include identifying a first emissions data and a second emissions data associated with a plant. The first emissions data may be associated with first emissions data acquisition level of a plurality of emissions data acquisition levels and the second emissions data may be associated with a second emissions data acquisition level of the plurality of emissions data acquisition levels. The method may further include generating using a reconciliation model and based on the first emissions data and the second emissions data, optimized emissions quantification. The optimized emissions quantification may reflect reconciled emissions data with respect to the first emissions data and the second emissions data.
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公开(公告)号：US10535030B2
公开(公告)日：2020-01-14
申请号：US15419404
申请日：2017-01-30
Applicant: HONEYWELL INTERNATIONAL INC.
Inventor： Ramesh Murugan Natarajan
Abstract: A method of automated remote terminal benchmarking includes providing a computing system including a processor having an associated memory which implements a benchmarking algorithm. The benchmarking algorithm implements receiving raw data associated with a plurality of Key Performance Indicator (KPIs) including real-time data from different bulk liquid terminals spanning sites across a plurality of continents, and calculating a global target benchmark value or global target benchmark range for at least a first of the plurality of KPIs from the raw data. Responsive to a user' request at a selected first of the different bulk liquid terminal (first terminal), a benchmark report is generated which benchmarks a KPI performance of the first terminal including for the first KPI by a comparison to the global target benchmark value or global target benchmark range.
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