公开(公告)号：US20200182036A1

公开(公告)日：2020-06-11

申请号：US16637263

申请日：2018-04-05

Applicant: Landmark Graphics Corporation

Inventor： Keshava RANGARAJAN ,  Joseph Blake WINSTON ,  Anuj JIAN ,  Xi WANG

IPC: E21B44/00 ,  E21B47/12 ,  G05B13/04 ,  G05B13/02 ,  H04L29/08 ,  G06N20/00 ,  G06N3/08

Abstract: A method of managing oilfield activity with a control system is provided having a plurality of virtual sensors and integrating the virtual sensors into a virtual sensor network. The method includes determining interdependencies among the virtual sensors, obtaining operational information from the virtual sensors, and providing virtual sensor output to the control system based on the determined interdependencies and the operational information.

公开(公告)号：US20230184080A1

公开(公告)日：2023-06-15

申请号：US18106882

申请日：2023-02-07

Applicant: Landmark Graphics Corporation

Inventor： Keshava RANGARAJAN ,  Joseph Blake WINSTON ,  Anuj JAIN ,  Xi WANG

IPC: E21B44/00 ,  G06N3/08 ,  G06N20/00 ,  H04L67/125 ,  G05B13/04 ,  E21B47/12 ,  G05B13/02

CPC classification number: E21B44/00 ,  G06N3/08 ,  G06N20/00 ,  H04L67/125 ,  G05B13/04 ,  E21B47/12 ,  G05B13/027

Abstract: A method of managing oilfield activity with a control system is provided having a plurality of virtual sensors and integrating the virtual sensors into a virtual sensor network. The method includes determining interdependencies among the virtual sensors, obtaining operational information from the virtual sensors, and providing virtual sensor output to the control system based on the determined interdependencies and the operational information.

公开(公告)号：US20210164944A1

公开(公告)日：2021-06-03

申请号：US16956605

申请日：2019-07-23

Applicant: Landmark Graphics Corporation

Inventor： Srinivasan JAGNNATHAN ,  Oluwatosin OGUNDARE ,  Srinath MADASU ,  Keshava RANGARAJAN

IPC: G01N29/44 ,  G06N3/04

Abstract: Methods and systems for solving inverse problems arising in systems described by a physics-based forward propagation model use a Bayesian approach to model the uncertainty in the realization of model parameters. A Generative Adversarial Network (“GAN”) architecture along with heuristics and statistical learning is used. This results in a more reliable point estimate of the desired model parameters. In some embodiments, the disclosed methodology may be applied to automatic inversion of physics-based modeling of pipelines.

公开(公告)号：US20220300812A1

公开(公告)日：2022-09-22

申请号：US17714247

申请日：2022-04-06

Applicant: Landmark Graphics Corporation ,  EMC IP Holding Company LLC

Inventor： Chandra YELESHWARAPU ,  Jonas F. DIAS ,  Angelo CIARLINI ,  Romulo D. Pinho ,  Vinicius GOTTIN ,  Andre MAXIMO ,  Edward PACHECO ,  David HOLMES ,  Keshava RANGARAJAN ,  Scott David SENFTEN ,  Joseph Blake WINSTON ,  Xi WANG ,  Clifton Brent WALKER ,  Ashwani DEV ,  Nagaraj SIRINIVASAN

IPC: G06N3/08 ,  G06F9/50 ,  G06N3/04 ,  G06N3/02 ,  G06F9/48

Abstract: A computer implemented method, computer program product, and system for managing execution of a workflow comprising a set of subworkflows, comprising optimizing the set of subworkflows using a deep neural network, wherein each subworkflow of the set of subworkflows has a set of tasks, wherein each task of the sets of tasks has a requirement of resources of a set of resources; wherein each task of the sets of tasks is enabled to be dependent on another task of the sets of tasks, training the deep neural network by: executing the set of subworkflows, collecting provenance data from the execution, and collecting monitoring data that represents the state of said set of resources, wherein the training causes the neural network to learn relationships between the states of said set of resources, the said sets of tasks, their parameters and the obtained performance, optimizing an allocation of resources of the set of resources to each task of the sets of tasks to ensure compliance with a user-defined quality metric based on the deep neural network output.

公开(公告)号：US20210285309A1

公开(公告)日：2021-09-16

申请号：US16338972

申请日：2017-04-27

Applicant: LANDMARK GRAPHICS CORPORATION

Inventor： Joseph Blake WINSTON ,  Brent Charles HOUCHENS ,  Feifei ZHANG ,  Avinash WESLEY ,  Andrew Shane ELSEY ,  Jonathan NGUYEN ,  Keshava RANGARAJAN ,  Olivier GERMAIN

IPC: E21B43/12 ,  E21B43/30

Abstract: Systems, methods, and computer-readable media are described for intelligent, real-time monitoring and managing of changes in oilfield equilibrium to optimize production of desired hydrocarbons and economic viability of the field. In some examples, a method can involve generating, based on a topology of a field of wells, a respective graph for the wells, each respective graph including computing devices coupled with one or more sensors and/or actuators. The method can involve collecting, via the computing devices, respective parameters associated with one or more computing devices, sensors, actuators, and/or models, and identifying a measured state associated with the computing devices, sensors, actuators, and/or models. Further, the method can involve automatically generating, based on the respective graph and respective parameters, a decision tree for the measured state, and determining, based on the decision tree, an automated adjustment for modifying production of hydrocarbons and/or an economic parameter of the hydrocarbon production.

公开(公告)号：US20210017845A1

公开(公告)日：2021-01-21

申请号：US17043129

申请日：2018-04-12

Applicant: Landmark Graphics Corporation

Inventor： Srinath MADASU ,  Yogendra Narayan PANDEY ,  Keshava RANGARAJAN

IPC: E21B43/26 ,  G06N3/04 ,  G06N3/063 ,  E21B47/06

Abstract: A method for fracturing a formation is provided. Real-time fracturing data is acquired from a well bore during fracturing operation. The real-time fracturing data is processed using a recurrent neural network trained using historical data from analogous wells. A real-time response variable prediction is determined using the processed real-time fracturing data. Fracturing parameters for the fracturing operation are adjusted in real-time based on the real-time response variable prediction. The fracturing operation is performed using the fracturing parameters that were adjusted based on the real-time response variable prediction.

公开(公告)号：US20190243026A1

公开(公告)日：2019-08-08

申请号：US16343370

申请日：2017-04-27

Applicant: LANDMARK GRAPHICS CORPORATION

Inventor： Brent Charles HOUCHENS ,  Joseph Blake WINSTON ,  Feifei ZHANG ,  Amir BAR ,  Ankush AGRAWAL ,  Paul SAAD ,  Keshava RANGARAJAN ,  Olivier GERMAIN

IPC: G01V99/00 ,  E21B41/00 ,  G06Q30/00 ,  G06Q50/02

CPC classification number: G01V99/005 ,  E21B41/00 ,  E21B41/0092 ,  G06Q30/018 ,  G06Q50/02

Abstract: A system including a work environment having a topology comprising a plurality of computing devices coupled with at least one of one or more sensors, one or more actuators, and one or more models. One or more processors communicatively coupled with the computing devices and having a memory having stored therein instructions which, when executed, cause the processors to generate, based on the topology, a graph for the work environment; collect respective parameters associated with the computing devices, sensors, actuators, and models; identify an environmental anomaly associated with at least one of the sensors; and generate a decision tree to determine a cause of the environmental anomaly.