公开(公告)号：US20220335184A1

公开(公告)日：2022-10-20

申请号：US17631590

申请日：2019-09-04

Applicant: LANDMARK GRAPHICS CORPORATION

Inventor： Avinash WESLEY ,  Amir BAR ,  David CRAWSHAY

IPC: G06F30/28

Abstract: Systems, methods, and computer-readable media for a well construction activity graph builder. An example method can include obtaining a stream of events associated with a wellbore; obtaining mapping metadata identifying data points to be included in a graph data model from a store of data associated with the wellbore; generating the graph data model based on the stream of events, the mapping metadata, and the data points identified in the mapping metadata, the graph data model including nodes representing logical entities associated with the data points, the nodes having interconnections based on data relationships defined in the mapping metadata, each logical entity corresponding to a set of data points from the data points; and generating a view of the graph data model, the view depicting at least some of the nodes and interconnections in the graph data model.

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.