公开(公告)号：US20210285321A1

公开(公告)日：2021-09-16

申请号：US16878715

申请日：2020-05-20

Applicant: Landmark Graphics Corporation

Inventor： Shashwat Verma ,  Sridharan Vallabhaneni ,  Rune Hobberstad ,  Samiran Roy

IPC: E21B47/117 ,  E21B44/00 ,  G06N20/00

Abstract: A wellbore drilling system can generate a machine-learning model trained using historic drilling operation data for monitoring for a lost circulation event. Real-time data for a drilling operation can be received and the machine-learning model can be applied to the real-time data to identify a lost circulation event that is occurring. An alarm can then be outputted to indicate a lost circulation event is occurring for the drilling operation.

公开(公告)号：US11795814B2

公开(公告)日：2023-10-24

申请号：US16878715

申请日：2020-05-20

Applicant: Landmark Graphics Corporation

Inventor： Shashwat Verma ,  Sridharan Vallabhaneni ,  Rune Hobberstad ,  Samiran Roy

IPC: E21B47/117 ,  G06N20/00 ,  E21B44/00 ,  G06F30/27 ,  G06T9/00

CPC classification number: E21B47/117 ,  E21B44/00 ,  G06F30/27 ,  G06N20/00 ,  G06T9/002 ,  E21B2200/22 ,  G06T2207/20084

Abstract: A wellbore drilling system can generate a machine-learning model trained using historic drilling operation data for monitoring for a lost circulation event. Real-time data for a drilling operation can be received and the machine-learning model can be applied to the real-time data to identify a lost circulation event that is occurring. An alarm can then be outputted to indicate a lost circulation event is occurring for the drilling operation.