Patents by Inventor Serkan Dursun

Serkan Dursun 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).

  • Patent number: 10657441
    Abstract: An example method includes receiving raw data sets containing drilling parameter and operating condition values generated during subterranean drilling operations. The raw data sets may be separated into training data sets based, at least in part, on the types of the subterranean drilling operations. At least one predictive model may be generated based, at least in part, on at least one training data set. The at least one predictive model may determine a rate of penetration (ROP) for a drilling operation of the same type to which the at least one training data set corresponds.
    Type: Grant
    Filed: April 1, 2015
    Date of Patent: May 19, 2020
    Assignee: Landmark Graphics Corporation
    Inventors: Serkan Dursun, Nhon Ai T. Tran, Giulia Toti
  • Patent number: 10487651
    Abstract: A real-time silica monitoring system can include a plurality of off-site sensors positioned at geographic locations off-site from a hydraulic fracturing well site that detect and measure quantities of airborne silica particles, a plurality of on-site sensors positioned at geographic locations on a hydraulic fracturing well site that detect and measure quantities of air-borne silica particles, and one or more mobile sensors suitable to be carried by individual persons that detect and measure quantities of airborne silica particles. A monitoring system can include a computer system that can aggregate and store airborne silica measurements taken by one or more sensors and communicate data to a user.
    Type: Grant
    Filed: December 26, 2013
    Date of Patent: November 26, 2019
    Assignee: Landmark Graphics Corporation
    Inventors: Serkan Dursun, Ilyas Uyanik, Olivier R. Germain
  • Patent number: 10487640
    Abstract: A casing wear estimation method includes obtaining a set of input parameters associated with extending a partially-cased borehole and applying the set of input parameters to a physics-driven model to obtain an estimated casing wear log. The method also includes employing a data-driven model to produce a predicted casing wear log based at least in part on the estimated casing wear log. The method also includes storing or displaying information based on the predicted casing wear log.
    Type: Grant
    Filed: October 17, 2014
    Date of Patent: November 26, 2019
    Assignee: Landmark Graphics Corporation
    Inventors: Aniket, Robello Samuel, Serkan Dursun
  • Patent number: 10280732
    Abstract: A method including obtaining input attribute values and a target risk attribute value associated with a first borehole segment. The method also includes training a prediction model for the target risk attribute using the input attribute values and the target risk attribute value. The method also includes acquiring subsequent input attribute values. The method also includes using the trained prediction model and the subsequent input attribute values to predict a target risk attribute value for a second borehole segment. The method also includes storing or displaying information based on the predicted target risk attribute value.
    Type: Grant
    Filed: August 21, 2014
    Date of Patent: May 7, 2019
    Assignee: LANDMARK GRAPHICS CORPORATION
    Inventors: Serkan Dursun, Robello Samuel, Aniket
  • Patent number: 10267138
    Abstract: One drilling method embodiment includes: obtaining a set of drilling parameters, possibly from a drilling plan; applying the set of drilling parameters to a physics-based model to obtain an estimated log of a downhole parameter such as temperature; and refining the estimated log using a data-driven model with a set of exogenous parameters. Temperature cycling and cumulative fatigue (or other measures of failure probability or remaining tool life) may be derived to predict tool failures, identify root causes of poor drilling performance, and determine corrective actions.
    Type: Grant
    Filed: October 8, 2014
    Date of Patent: April 23, 2019
    Assignee: Landmark Graphics Corporation
    Inventors: Robello Samuel, Aniket, Serkan Dursun
  • Publication number: 20180025269
    Abstract: An example method includes receiving raw data sets containing drilling parameter and operating condition values generated during subterranean drilling operations. The raw data sets may be separated into training data sets based, at least in part, on the types of the subterranean drilling operations. At least one predictive model may be generated based, at least in part, on at least one training data set. The at least one predictive model may determine a rate of penetration (ROP) for a drilling operation of the same type to which the at least one training data set corresponds.
    Type: Application
    Filed: April 1, 2015
    Publication date: January 25, 2018
    Inventors: Serkan DURSUN, Nhon Ai T. TRAN, Giulia TOTI
  • Publication number: 20180004234
    Abstract: In some embodiments, an apparatus and a system, as well as a method and article, may operate to identify one or more multiphase fluid flow regimes as an output of fuzzy logic processing, with inputs to the fuzzy logic processing comprising a set of physical parameter values as attributes at a location in a fluid flow that are determined by at least one of measurement or simulation, and to operate a controlled device based on the output. Additional apparatus, systems, and methods are disclosed.
    Type: Application
    Filed: July 27, 2015
    Publication date: January 4, 2018
    Inventors: Serkan DURSUN, Florentina POPA, Brent Charles HOUCHENS
  • Publication number: 20170292362
    Abstract: A casing wear estimation method includes obtaining a set of input parameters associated with extending a partially-cased borehole and applying the set of input parameters to a physics-driven model to obtain an estimated casing wear log. The method also includes employing a data-driven model to produce a predicted casing wear log based at least in part on the estimated casing wear log. The method also includes storing or displaying information based on the predicted casing wear log.
    Type: Application
    Filed: October 17, 2014
    Publication date: October 12, 2017
    Applicant: Landmark Graphics Corporation
    Inventors: Aniket Aniket, Robello Samuel, Serkan Dursun
  • Publication number: 20170284186
    Abstract: One drilling method embodiment includes: obtaining a set of drilling parameters, possibly from a drilling plan; applying the set of drilling parameters to a physics-based model to obtain an estimated log of a downhole parameter such as temperature; and refining the estimated log using a data-driven model with a set of exogenous parameters. Temperature cycling and cumulative fatigue (or other measures of failure probability or remaining tool life) may be derived to predict tool failures, identify root causes of poor drilling performance, and determine corrective actions.
    Type: Application
    Filed: October 8, 2014
    Publication date: October 5, 2017
    Applicant: Landmark Graphics Corporation
    Inventors: Robello Samuel, Aniket Aniket, Serkan Dursun
  • Publication number: 20170191359
    Abstract: A method including obtaining input attribute values and a target risk attribute value associated with a first borehole segment. The method also includes training a prediction model for the target risk attribute using the input attribute values and the target risk attribute value. The method also includes acquiring subsequent input attribute values. The method also includes using the trained prediction model and the subsequent input attribute values to predict a target risk attribute value for a second borehole segment. The method also includes storing or displaying information based on the predicted target risk attribute value.
    Type: Application
    Filed: August 21, 2014
    Publication date: July 6, 2017
    Applicant: LANDMARK GRAPHICS CORPORATION
    Inventors: Serkan Dursun, Robello Samuel, Aniket
  • Patent number: 9582764
    Abstract: Systems and methods for real-time risk prediction during drilling operations using real-time data from an uncompleted well, a trained coarse layer model and a trained fine layer model for each respective layer of the trained coarse layer model. In addition to using the systems and methods for real-time risk prediction, the systems and methods may also be used to monitor other uncompleted wells and to perform a statistical analysis of the duration of each risk level for the monitored well.
    Type: Grant
    Filed: October 25, 2013
    Date of Patent: February 28, 2017
    Assignee: LANDMARK GRAPHICS CORPORATION
    Inventors: Serkan Dursun, Tayfun Tuna, Kaan Duman
  • Patent number: 9581726
    Abstract: A system and method for determination of importance of attributes among a plurality of attribute importance models incorporating a segmented attribute kerneling (SAK) method of attribute importance determination. The method permits operation of multiple attribute importance algorithms simultaneously, finds the intersecting subset of important attributes across the multiple techniques, and then outputs a consolidated ranked set. In addition, the method identifies and presents a ranked subset of the attributes excluded from the union.
    Type: Grant
    Filed: December 5, 2013
    Date of Patent: February 28, 2017
    Assignee: LANDMARK GRAPHICS CORPORATION
    Inventors: Keshava P Rangarajan, Serkan Dursun, Amit Kumar Singh
  • Publication number: 20170022807
    Abstract: A real-time silica monitoring system can include a plurality of off-site sensors positioned at geographic locations off-site from a hydraulic fracturing well site that detect and measure quantities of airborne silica particles, a plurality of on-site sensors positioned at geographic locations on a hydraulic fracturing well site that detect and measure quantities of air-borne silica particles, and one or more mobile sensors suitable to be carried by individual persons that detect and measure quantities of airborne silica particles. A monitoring system can include a computer system that can aggregate and store airborne silica measurements taken by one or more sensors and communicate data to a user.
    Type: Application
    Filed: December 26, 2013
    Publication date: January 26, 2017
    Inventors: Serkan DURSUN, Ilyas UYANIK, Olivier R. GERMAIN
  • Publication number: 20160239754
    Abstract: Systems and methods for real-time risk prediction during drilling operations using real-time data from an uncompleted well, a trained coarse layer model and a trained fine layer model for each respective layer of the trained coarse layer model. In addition to using the systems and methods for real-time risk prediction, the systems and methods may also be used to monitor other uncompleted wells and to perform a statistical analysis of the duration of each risk level for the monitored well.
    Type: Application
    Filed: October 25, 2013
    Publication date: August 18, 2016
    Inventors: Serkan Dursun, Tayfun Tuna, Kaan Duman, Robert West Kellogg
  • Publication number: 20150356450
    Abstract: Systems and methods for real-time risk prediction during drilling operations using real-time data from an uncompleted well, a trained coarse layer model and a trained fine layer model for each respective layer of the trained coarse layer model. In addition to using the systems and methods for real-time risk prediction, the systems and methods may also be used to monitor other uncompleted wells and to perform a statistical analysis of the duration of each risk level for the monitored well.
    Type: Application
    Filed: October 25, 2013
    Publication date: December 10, 2015
    Inventors: Serkan Dursun, Tayfun Tuna, Kaan Duman
  • Publication number: 20150285951
    Abstract: A system and method for determination of importance of attributes among a plurality of attribute importance models incorporating a segmented attribute kerneling (SAK) method of attribute importance determination. The method permits operation of multiple attribute importance algorithms simultaneously, finds the intersecting subset of important attributes across the multiple techniques, and then outputs a consolidated ranked set. In addition, the method identifies and presents a ranked subset of the attributes excluded from the union.
    Type: Application
    Filed: December 5, 2013
    Publication date: October 8, 2015
    Inventors: Keshava P Rangarajan, Serkan Dursun, Amit Kumar Singh