Patents by Inventor Ankur Pariyani
Ankur Pariyani has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240085878Abstract: The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: ApplicationFiled: November 21, 2023Publication date: March 14, 2024Applicant: Near-Miss Management LLCInventors: Andrew Schneider, Ankur Pariyani, Ulku G. Oktem, Daniel Shumway, Brett Emaus
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Patent number: 11853053Abstract: The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: GrantFiled: January 24, 2022Date of Patent: December 26, 2023Assignee: Near-Miss Management LLCInventors: Ankur Pariyani, Matthew Dering, Ulku G. Oktem, Brett Emaus, Daniel Shumway, Steven DeLaurentis
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Publication number: 20220214679Abstract: The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: ApplicationFiled: January 24, 2022Publication date: July 7, 2022Applicant: Near-Miss Management LLCInventors: Ankur Pariyani, Matt Dering, Ulku G. Oktem, Brett Emaus, Daniel Shumway, Steven DeLaurentis
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Patent number: 11250366Abstract: The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: GrantFiled: June 8, 2020Date of Patent: February 15, 2022Assignee: Near-Miss Management LLCInventors: Matthew L. Dering, Ankur Pariyani, Ulku G. Oktem, Daniel Shumway, Brett Emaus, Steven DeLaurentis
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Publication number: 20200302354Abstract: The invention provides a dynamic risk analyzer (DRA) that periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: ApplicationFiled: June 8, 2020Publication date: September 24, 2020Applicant: Near-Miss Management LLCInventors: Matthew L. Dering, Ankur Pariyani, Ulku G. Oktem, Daniel Shumway, Brett Emaus, Steven Delaurentis
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Patent number: 10705516Abstract: A dynamic risk fault tree (DRFT) for displaying and analyzing risk levels for manufacturing operations. The DRFT incorporates a Dynamic Risk Analyzer (DRA) to periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRFT assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The DRA and hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: GrantFiled: March 18, 2019Date of Patent: July 7, 2020Assignee: Near-Miss Management LLCInventors: Ulku G. Oktem, Ankur Pariyani, Brett Emaus, Daniel Shumway, Steven DeLaurentis
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Publication number: 20190235483Abstract: A dynamic risk fault tree (DRFT) for displaying and analyzing risk levels for manufacturing operations. The DRFT incorporates a Dynamic Risk Analyzer (DRA) to periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRFT assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The DRA and hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: ApplicationFiled: March 18, 2019Publication date: August 1, 2019Applicant: Near-Miss Management LLCInventors: Ulku G. Oktem, Ankur Pariyani, Brett Emaus, Daniel Shumway, Steven DeLaurentis
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Patent number: 10268962Abstract: The dynamic risk analyzer (DRA) provided by the present invention periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: GrantFiled: February 1, 2016Date of Patent: April 23, 2019Assignee: Near-Miss Management LLCInventors: Ankur Pariyani, Dmitriy Bespalov, Ulku G. Oktem, Luis Cielak
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Patent number: 9495863Abstract: Provided are methodologies to properly assess and manage operational risks at operations sites, e.g., a manufacturing, production or processing facility, such as a refinery, chemical plant, fluid-catalytic-cracking units, or nuclear energy plant, or a biological or waste management facility, airport or even financial institutions, or at any facility in which operations are often accompanied by risk associated with many high-probability, low-consequence events, often resulting in near-misses. In some operations, processes are monitored by alarms, but the invention operates on either process data or alarm data. The methods are based upon measurement of one or more variables, and/or utilization and management of the concept of “hidden process near-miss(es)” to identify a change or escalation, if any, in probability of occurrence of an adverse incident. The methodologies combine a plurality of subsets (also useful independently) of dynamically calculated leading risk indicators for dynamic risk management.Type: GrantFiled: October 10, 2014Date of Patent: November 15, 2016Assignee: Near-Miss Management, LLCInventors: Ankur Pariyani, Ulku G. Oktem
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Publication number: 20160148107Abstract: The dynamic risk analyzer (DRA) provided by the present invention periodically assesses real-time or historic process data, or both, associated with an operations site, such as a manufacturing, production, or processing facility, including a plant's operations, and identifies hidden near-misses of such operation, when in real time the process data appears otherwise normal. DRA assesses the process data in a manner that enables operating personnel including management at a facility to have a comprehensive understanding of the risk status and changes in both alarm and non-alarm based process variables. The hidden process near-miss data may be analyzed alone or in combination with other process data and/or data resulting from prior near-miss situations to permit strategic action to be taken to reduce or avert the occurrence of adverse incidents or catastrophic failure of a facility operation.Type: ApplicationFiled: February 1, 2016Publication date: May 26, 2016Inventors: Ankur Pariyani, Dmitriy Bespalov, Ulku G. Oktem, Luis Cielak
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Publication number: 20150061860Abstract: Provided are methodologies to properly assess and manage operational risks at operations sites, e.g., a manufacturing, production or processing facility, such as a refinery, chemical plant, fluid-catalytic-cracking units, or nuclear energy plant, or a biological or waste management facility, airport or even financial institutions, or at any facility in which operations are often accompanied by risk associated with many high-probability, low-consequence events, often resulting in near-misses. In some operations, processes are monitored by alarms, but the invention operates on either process data or alarm data. The methods are based upon measurement of one or more variables, and/or utilization and management of the concept of “hidden process near-miss(es)” to identify a change or escalation, if any, in probability of occurrence of an adverse incident. The methodologies combine a plurality of subsets (also useful independently) of dynamically calculated leading risk indicators for dynamic risk management.Type: ApplicationFiled: October 10, 2014Publication date: March 5, 2015Applicant: NEAR-MISS MANAGEMENT, LLCInventors: Ankur PARIYANI, Ulku G. OKTEM
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Patent number: 8884759Abstract: Provided are methodologies to properly assess and manage operational risks at operations sites, e.g., a manufacturing, production or processing facility, such as a refinery, chemical plant, fluid-catalytic-cracking units, or nuclear energy plant, or a biological or waste management facility, airport or even financial institutions, or at any facility in which operations are often accompanied by risk associated with many high-probability, low-consequence events, often resulting in near-misses. In some operations, processes are monitored by alarms, but the invention operates on either process data or alarm data. The methods are based upon measurement of one or more variables, and/or utilization and management of the concept of “hidden process near-miss(es)” to identify a change or escalation, if any, in probability of occurrence of an adverse incident. The methodologies combine a plurality of subsets (also useful independently) of dynamically calculated leading risk indicators for dynamic risk management.Type: GrantFiled: September 11, 2012Date of Patent: November 11, 2014Assignee: Near-Miss Management, LLCInventors: Ulku G. Oktem, Ankur Pariyani
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Publication number: 20130063264Abstract: Provided are methodologies to properly assess and manage operational risks at operations sites, e.g., a manufacturing, production or processing facility, such as a refinery, chemical plant, fluid-catalytic-cracking units, or nuclear energy plant, or a biological or waste management facility, airport or even financial institutions, or at any facility in which operations are often accompanied by risk associated with many high-probability, low-consequence events, often resulting in near-misses. In some operations, processes are monitored by alarms, but the invention operates on either process data or alarm data. The methods are based upon measurement of one or more variables, and/or utilization and management of the concept of “hidden process near-miss(es)” to identify a change or escalation, if any, in probability of occurrence of an adverse incident. The methodologies combine a plurality of subsets (also useful independently) of dynamically calculated leading risk indicators for dynamic risk management.Type: ApplicationFiled: September 11, 2012Publication date: March 14, 2013Inventors: Ulku G. Oktem, Ankur Pariyani