Patents by Inventor Tayfun Tuna

Tayfun Tuna 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).

  • CLIENT-SIDE MACHINE LEARNING DEVELOPMENT ENVIRONMENT
    Publication number: 20240385809
    Abstract: A specification of a data query received via a first section of a user interface is received at a client device. Query result data of the data query is received using a first programming language. A data structure storing at least a portion of the query result data is generated at the client device for a second programming language different from the first programming language. A specification in the second programming language of user code utilizing the generated data structure is received via a second section of the user interface. A program of the user code specified in the second programming language is executed at the client device.
    Type: Application
    Filed: May 18, 2023
    Publication date: November 21, 2024
    Inventors: Tayfun Tuna, Sunny R. Chopra
  • Real-time risk prediction during drilling operations
    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
  • Real-Time Risk Prediction During Drilling Operations
    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
  • Real-Time Risk Prediction During Drilling Operations
    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