公开(公告)号：US20160239754A1

公开(公告)日：2016-08-18

申请号：US15024575

申请日：2013-10-25

Applicant: LANDMARK GRAPHICS CORPORATION

Inventor： Serkan Dursun ,  Tayfun Tuna ,  Kaan Duman ,  Robert West Kellogg

IPC: G06N7/00 ,  G06F17/16 ,  G06N99/00

CPC classification number: G06N7/005 ,  E21B44/00 ,  G06F17/16 ,  G06N20/00

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.

公开(公告)号：US09582764B2

公开(公告)日：2017-02-28

申请号：US14429072

申请日：2013-10-25

Applicant: Landmark Graphics Corporation

Inventor： Serkan Dursun ,  Tayfun Tuna ,  Kaan Duman

IPC: G06G7/48 ,  G06N5/04 ,  G06N99/00 ,  E21B41/00 ,  G01V11/00

CPC classification number: G06N5/048 ,  E21B41/00 ,  G01V11/00 ,  G06N99/005

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.

Abstract translation: 用于钻井操作中的实时风险预测的系统和方法，其使用来自未完成井的实时数据，经过训练的粗糙层模型和经训练的粗糙层模型的每个相应层的训练的细层模型。 除了使用系统和方法进行实时风险预测之外，系统和方法还可用于监测其他未完成的井，并对监测井的每个风险水平的持续时间进行统计分析。

公开(公告)号：US20150356450A1

公开(公告)日：2015-12-10

申请号：US14429072

申请日：2013-10-25

Applicant: Landmark Graphics Corporation

Inventor： Serkan Dursun ,  Tayfun Tuna ,  Kaan Duman

IPC: G06N5/04 ,  G06N99/00

CPC classification number: G06N5/048 ,  E21B41/00 ,  G01V11/00 ,  G06N99/005

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.

Abstract translation: 用于钻井操作中的实时风险预测的系统和方法，其使用来自未完成井的实时数据，经过训练的粗糙层模型和经训练的粗糙层模型的每个相应层的训练的细层模型。 除了使用系统和方法进行实时风险预测之外，系统和方法还可用于监测其他未完成的井，并对监测井的每个风险水平的持续时间进行统计分析。