Patents by Inventor Franz Fuehrer

Franz Fuehrer 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: 10316625
    Abstract: Methods, computer-readable media, and computing systems for maintaining a well production model. The method includes receiving an update to a parameter of the model of a well, and updating the model based on the update. The method also includes splitting the model into at least two submodels after updating the model, and running the submodels to obtain results. The method further includes determining that the results obtained by running the submodels do not match, and in response to determining that the results obtained by running the submodels do not match, calibrating the model based on the update.
    Type: Grant
    Filed: September 9, 2015
    Date of Patent: June 11, 2019
    Assignee: Schlumberger Technology Corporation
    Inventors: Carlos Arturo Garcia Zurita, Franz Fuehrer, Riku Vilkki, Henry David Torres Rincon
  • Patent number: 10012748
    Abstract: A method can include providing a trained neural network; providing a set of production values where the set includes, for example, a cumulative production value for an interval, an average production value for the interval, a first production value for the interval and a last production value for the interval; and predicting at least one production value for a subsequent interval based at least in part on the trained neural network and the provided set of production values. Various other apparatuses, systems, methods, etc., are also disclosed.
    Type: Grant
    Filed: July 15, 2014
    Date of Patent: July 3, 2018
    Assignee: Schlumberger Technology Corporation
    Inventors: Siddhartha Gupta, Franz Fuehrer
  • Publication number: 20170067325
    Abstract: Methods, computer-readable media, and computing systems for maintaining a well production model. The method includes receiving an update to a parameter of the model of a well, and updating the model based on the update. The method also includes splitting the model into at least two submodels after updating the model, and running the submodels to obtain results. The method further includes determining that the results obtained by running the submodels do not match, and in response to determining that the results obtained by running the submodels do not match, calibrating the model based on the update.
    Type: Application
    Filed: September 9, 2015
    Publication date: March 9, 2017
    Inventors: Carlos Arturo Garcia Zurita, Franz Fuehrer, Riku Vilkki, Henry David Torres Rincon
  • Publication number: 20150039544
    Abstract: A method can include providing a trained neural network; providing a set of production values where the set includes, for example, a cumulative production value for an interval, an average production value for the interval, a first production value for the interval and a last production value for the interval; and predicting at least one production value for a subsequent interval based at least in part on the trained neural network and the provided set of production values. Various other apparatuses, systems, methods, etc., are also disclosed.
    Type: Application
    Filed: July 15, 2014
    Publication date: February 5, 2015
    Inventors: Siddhartha Gupta, Franz Fuehrer