Patents by Inventor Baishali Roy
Baishali Roy 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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Patent number: 11971907Abstract: A method comprises collecting data corresponding to a plurality of components in a system, wherein the data comprises information about one or more issues with the plurality of components. The data is analyzed and categorized based at least in part on the analysis. In the method, one or more application programming interfaces (APIs) are selected to monitor respective statuses of the plurality of components, wherein the selection is based at least in part on the categorization of the data, and the data is pushed to the one or more APIs.Type: GrantFiled: January 28, 2022Date of Patent: April 30, 2024Assignee: Dell Products L.P.Inventors: Hung Dinh, Seshadri Srinivasan, Kiran Kumar Pidugu, Bijan Kumar Mohanty, Baishali Roy, Antarlina Tripathy, Sambasivarao Gaddam, Shivangi Geetanjali, Sowmya Kumar, Shivangi Maharana, Sashibhusan Panda, Shishir Kumar Parhi, Harikrishna Reyyi, Sweta Kumari, Bharath Alla
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Publication number: 20240045091Abstract: Systems and methods for reservoir modeling include a super resolution seismic data conversion platform for converting input seismic data into high resolution output seismic data. The super resolution seismic data conversion platform can perform a super resolution inversion on the input seismic data by imposing sparsity and/or coherency assumptions on geophysical parameters represented by wavelet information of the input seismic data. For instance, a seismic trace interval can be determined, and both a reflection coefficient and an acoustic impedance of the seismic trace interval can be constrained. An optimization problem, using the constrained reflection coefficient and the constrained acoustic impedance, can be generated and/or solved by a sparse inversion. As such, a vertical resolution, as well as a seismic bandwidth, of super resolution output seismic data can be increased, improving subterranean feature (e.g., sand and/or shale characteristics) interpretation and well planning and construction.Type: ApplicationFiled: August 7, 2023Publication date: February 8, 2024Inventors: Chengbo Li, Baishali Roy, Charles C. Mosher
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Patent number: 11802783Abstract: A system for measuring fluid flow in a wellbore is provided. A probe includes at least a heater. A fiber optic cable is connected to the probe. The system is programmed to perform operations including: changing an output of the heater to thereby change a temperature of drilling fluid moving over a fiber optic cable; measuring a strain on the fiber optic cable caused by changing the temperature of the drilling fluid; preliminarily determining a velocity of the drilling fluid from the measured strain; measuring at least a second parameter of the drilling fluid; adjusting the preliminary determined velocity based on the measured at least a second parameter to yield an adjusted velocity; and determining a flow rate of the drilling fluid based on the adjusted velocity.Type: GrantFiled: July 18, 2022Date of Patent: October 31, 2023Assignee: ConocoPhillips CompanyInventors: Baishali Roy, Kyle Friehauf, Kevin T. Raterman, Herbert W. Swan, Jesse J. Constantine, Ge Jin
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Patent number: 11768307Abstract: Various aspects described herein relate to a machine learning based detecting of fracture hits in offset monitoring wells when designing hydraulic fracturing processes for a particular well. In one example, a computer-implemented method includes receiving a set of features for a first well proximate to a second well, the second well undergoing a hydraulic fracturing process for extraction of natural resources from underground formations; inputting the set of features into a trained neural network; and providing, as output of the trained neural network, a probability of a fracture hit at a location associated with the set of features in the first well during a given completion stage of the hydraulic fracturing process in the second well.Type: GrantFiled: March 11, 2020Date of Patent: September 26, 2023Assignee: ConocoPhillips CompanyInventors: Ge Jin, Kevin Mendoza, Baishali Roy, Darryl G. Buswell
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Publication number: 20230287766Abstract: A method of optimizing production of a hydrocarbon-containing reservoir by measuring low-frequency Distributed Acoustic Sensing (LFDAS) data in the well during a time period of constant flow and during a time period of no flow and during a time period of perturbation of flow and simultaneously measuring Distributed Temperature Sensing (DTS) data from the well during a time period of constant flow and during a time period of no flow and during a time period of perturbation of flow. An initial model of reservoir flow is provided using the LFDAS and DTS data; the LFDAS and DTS data inverted using Markov chain Monte Carlo method to provide an optimized reservoir model, and that optimized profile utilized to manage hydrocarbon production from the well and other asset wells.Type: ApplicationFiled: April 7, 2023Publication date: September 14, 2023Applicant: CONOCOPHILLIPS COMPANYInventors: Ge JIN, Kyle FRIEHAUF, Baishali ROY
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Patent number: 11686871Abstract: A data acquisition program, which includes core, image log, microseismic, DAS, DTS, and pressure data, is described. This program can be used in conjunction with a variety of techniques to accurately monitor and conduct well stimulation.Type: GrantFiled: January 14, 2022Date of Patent: June 27, 2023Assignee: CONOCOPHILLIPS COMPANYInventors: Kevin T. Raterman, Helen E. Farrell, Kyle Friehauf, Raymond R. Reid, Jr., Ge Jin, Baishali Roy, Dana M. Jurick, Seth Busetti
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Patent number: 11686194Abstract: Methods and systems for assessing cross-well interference and/or optimizing hydrocarbon production from a reservoir by obtaining low frequency DAS and DTS data and pressure data from a monitor well, when both the monitor and production well are shut-in, and then variably opening the production well for production, and detecting the temperature and pressure fluctuations that indication cross-well interference, and localizing the interference along the well length based on the low frequency DAS data. This information can be used to optimize well placement, completion plans, fracturing plans, and ultimately optimize production from a given reservoir.Type: GrantFiled: December 2, 2021Date of Patent: June 27, 2023Assignee: CONOCOPHILLIPS COMPANYInventors: Ge Jin, Kyle R Krueger, Baishali Roy
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Publication number: 20230160726Abstract: A method for predicting fluid fractions is provided. The method includes building, from pressure, temperature, a fluid speed parameter, speed of sound, and fluid fractions of a first fluid flow, a machine learning model programmed to estimate fluid fractions of a fluid flow as a function of at least one Distributed Acoustic Sensing (“DAS”) fluid flow parameter and at least one physical characteristic of the fluid flow; receiving at least one DAS fluid flow parameter and the at least one physical characteristic of a second fluid flow; and determining, using the machine learning model, fluid fractions of the second fluid flow from at least the at least one DAS fluid flow parameter for the second fluid flow and the at least one physical characteristic of the second fluid flow.Type: ApplicationFiled: November 9, 2022Publication date: May 25, 2023Inventors: Upendra K. Tiwari, Baishali Roy, Nan Ma, Ge Jin
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Patent number: 11649700Abstract: A method of optimizing production of a hydrocarbon-containing reservoir by measuring low-frequency Distributed Acoustic Sensing (LFDAS) data in the well during a time period of constant flow and during a time period of no flow and during a time period of perturbation of flow and simultaneously measuring Distributed Temperature Sensing (DTS) data from the well during a time period of constant flow and during a time period of no flow and during a time period of perturbation of flow. An initial model of reservoir flow is provided using the LFDAS and DTS data; the LFDAS and DTS data inverted using Markov chain Monte Carlo method to provide an optimized reservoir model, and that optimized profile utilized to manage hydrocarbon production from the well and other asset wells.Type: GrantFiled: April 21, 2021Date of Patent: May 16, 2023Assignee: CONOCOPHILLIPS COMPANYInventors: Ge Jin, Kyle Friehauf, Baishali Roy
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Publication number: 20230014753Abstract: A system for measuring fluid flow in a wellbore is provided. A probe includes at least a heater. A fiber optic cable is connected to the probe. The system is programmed to perform operations including: changing an output of the heater to thereby change a temperature of drilling fluid moving over a fiber optic cable; measuring a strain on the fiber optic cable caused by changing the temperature of the drilling fluid; preliminarily determining a velocity of the drilling fluid from the measured strain; measuring at least a second parameter of the drilling fluid; adjusting the preliminary determined velocity based on the measured at least a second parameter to yield an adjusted velocity; and determining a flow rate of the drilling fluid based on the adjusted velocity.Type: ApplicationFiled: July 18, 2022Publication date: January 19, 2023Inventors: Baishali Roy, Kyle Friehauf, Kevin T. Raterman, Herbert W. Swan, Jesse J. Constantine, Ge Jin
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Publication number: 20230003119Abstract: Monitoring and diagnosing completion during hydraulic fracturing operations provides insights into the fracture geometry, inter-well frac hits and connectivity. Conventional monitoring methods (microseismic, borehole gauges, tracers, etc.) can provide a range of information about the stimulated rock volume but may often be limited in detail or clouded by uncertainty. Utilization of DAS as a fracture monitoring tool is growing, however most of the applications have been limited to acoustic frequency bands of the DAS recorded signal. In this paper, we demonstrate some examples of using the low-frequency band of Distributed Acoustic Sensing (DAS) signal to constrain hydraulic fracture geometry. DAS data were acquired in both offset horizontal and vertical monitor wells. In horizontal wells, DAS data records formation strain perturbation due to fracture propagation. Events like fracture opening and closing, stress shadow creation and relaxation, ball seat and plug isolation can be clearly identified.Type: ApplicationFiled: May 10, 2022Publication date: January 5, 2023Inventors: Ge JIN, Baishali ROY
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Publication number: 20220398133Abstract: A method comprises collecting data corresponding to a plurality of components in a system, wherein the data comprises information about at least one of respective protocols and respective interfaces associated with respective ones of the plurality of components. The data is analyzed to determine at least one of the respective protocols and the respective interfaces associated with the respective ones of the plurality of components. In the method, operations of one or more components of the plurality of components are tested based at least in part on the determination of the at least one of the respective protocols and the respective interfaces. The method further includes outputting respective statuses of the one or more components, wherein the respective statuses are derived at least in part from the testing.Type: ApplicationFiled: June 14, 2021Publication date: December 15, 2022Inventors: Sambasivarao Gaddam, Shivangi Geetanjali, Sowmya Kumar, Sweta Kumari, Shivangi Maharana, Sashibhusan Panda, Shishir Kumar Parhi, Harikrishna Reyyi, Baishali Roy, Seshadri Srinivasan, Antarlina Tripathy, Hung Dinh, Bijan Kumar Mohanty, Krishna Mohan Akkinapalli, Satish Ranjan Das, Shashikiran Rajagopal
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Publication number: 20220342910Abstract: A method comprises collecting data corresponding to a plurality of components in a system, wherein the data comprises information about one or more issues with the plurality of components. The data is analyzed and categorized based at least in part on the analysis. In the method, one or more application programming interfaces (APIs) are selected to monitor respective statuses of the plurality of components, wherein the selection is based at least in part on the categorization of the data, and the data is pushed to the one or more APIs.Type: ApplicationFiled: January 28, 2022Publication date: October 27, 2022Applicant: Dell Products L.P.Inventors: Hung Dinh, Seshadri Srinivasan, Kiran Kumar Pidugu, Bijan Kumar Mohanty, Baishali Roy, Antarlina Tripathy, Sambasivarao Gaddam, Shivangi Geetanjali, Sowmya Kumar, Shivangi Maharana, Sashibhusan Panda, Shishir Kumar Parhi, Harikrishna Reyyi, Sweta Kumari, Bharath Alla
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Publication number: 20220342685Abstract: A method comprises collecting data corresponding to a plurality of components in a system, wherein the data comprises information about one or more issues with the plurality of components. The data is analyzed and categorized based at least in part on the analysis. In the method, one or more application programming interfaces (APIs) are selected to monitor respective statuses of the plurality of components, wherein the selection is based at least in part on the categorization of the data, and the data is pushed to the one or more APIs.Type: ApplicationFiled: April 22, 2021Publication date: October 27, 2022Inventors: Antarlina Tripathy, Baishali Roy, Panguluru Vijaya Sekhar, Sambasivarao Gaddam, Shivangi Geetanjali, Sowmya Kumar, Shivangi Maharana, Sashibhusan Panda, Shishir Kumar Parhi, Harikrishna Reyyi, Seshadri Srinivasan, Kiran Kumar Pidugu, Hung Dinh, Sweta Kumari
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Publication number: 20220327012Abstract: A method comprises receiving a request for validation of software comprising one or more applications, analyzing the request and generating one or more validation steps based at least in part on the analysis. In the method, a time to complete the one or more validation steps is predicted. The predicting is performed using one or more machine learning models, and is based at least in part on a type and a number of the one or more applications.Type: ApplicationFiled: April 8, 2021Publication date: October 13, 2022Inventors: Baishali Roy, Antarlina Tripathy, Panguluru Vijaya Sekhar, Shivangi Geetanjali, Sowmya Kumar, Sambasivarao Gaddam, Shivangi Maharana, Sashibhusan Panda, Shishir Kumar Parhi, Harikrishna Reyyi, Seshadri Srinivasan, Bijan Kumar Mohanty, Hung Dinh, Sweta Kumari
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Patent number: 11352878Abstract: Monitoring and diagnosing completion during hydraulic fracturing operations provides insights into the fracture geometry, inter-well frac hits and connectivity. Conventional monitoring methods (microseismic, borehole gauges, tracers, etc.) can provide a range of information about the stimulated rock volume but may often be limited in detail or clouded by uncertainty. Utilization of DAS as a fracture monitoring tool is growing, however most of the applications have been limited to acoustic frequency bands of the DAS recorded signal. Low-frequency Distributed Acoustic Sensing (DAS) signal is used to constrain hydraulic fracture geometry. Events like fracture opening and closing, stress shadow creation and relaxation, ball seat and plug isolation can be clearly identified.Type: GrantFiled: October 17, 2018Date of Patent: June 7, 2022Assignee: ConocoPhillips CompanyInventors: Ge Jin, Baishali Roy
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Publication number: 20220137247Abstract: A data acquisition program, which includes core, image log, microseismic, DAS, DTS, and pressure data, is described. This program can be used in conjunction with a variety of techniques to accurately monitor and conduct well stimulation.Type: ApplicationFiled: January 14, 2022Publication date: May 5, 2022Inventors: Kevin T. RATERMAN, Helen E. FARRELL, Kyle FRIEHAUF, Raymond R. REID, Jr., Ge JIN, Baishali ROY, Dana M. JURICK, Seth BUSETTI
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Patent number: 11301226Abstract: A method comprises managing multiple tasks of multiple entities associated with a deployment of a software program with a deployment framework comprising a machine learning module configured to assist with managing the multiple tasks of the multiple entities. The managing step comprises tracking a status of one or more of the multiple tasks, and predicting a time taken for a given one of the multiple entities to complete a given one of the multiple tasks.Type: GrantFiled: November 5, 2019Date of Patent: April 12, 2022Assignee: Dell Products L.P.Inventors: Hung Dinh, Shishir Kumar Parhi, Sowmya K, Shivangi Geetanjali, Antarlina Tripathy, Yash Khare, Sashibhusan Panda, Lakshman Kumar Tiwari, Sourav Datta, Seshadri Srinivasan, Panguluru Vijaya Sekhar, Baishali Roy, Sweta Kumari
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Publication number: 20220090490Abstract: Methods and systems for assessing cross-well interference and/or optimizing hydrocarbon production from a reservoir by obtaining low frequency DAS and DTS data and pressure data from a monitor well, when both the monitor and production well are shut-in, and then variably opening the production well for production, and detecting the temperature and pressure fluctuations that indication cross-well interference, and localizing the interference along the well length based on the low frequency DAS data. This information can be used to optimize well placement, completion plans, fracturing plans, and ultimately optimize production from a given reservoir.Type: ApplicationFiled: December 2, 2021Publication date: March 24, 2022Inventors: Ge JIN, Kyle R KRUEGER, Baishali ROY
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Patent number: 11255997Abstract: A data acquisition program, which includes core, image log, microseismic, DAS, DTS, and pressure data, is described. This program can be used in conjunction with a variety of techniques to accurately monitor and conduct well stimulation.Type: GrantFiled: May 7, 2018Date of Patent: February 22, 2022Assignee: CONOCOPHILLIPS COMPANYInventors: Kevin T. Raterman, Helen E. Farrell, Kyle Friehauf, Raymond R. Reid, Jr., Ge Jin, Baishali Roy, Dana M. Jurick, Seth Busetti