公开(公告)号：US11802984B2

公开(公告)日：2023-10-31

申请号：US17510526

申请日：2021-10-26

Applicant: SHELL OIL COMPANY

Inventor： Satyakee Sen ,  Russell David Potter ,  Donald Paul Griffith ,  Sam Ahmad Zamanian ,  Sergey Frolov

IPC: G01V1/30 ,  G06N3/084 ,  G06F18/214 ,  G06N3/08 ,  G06N20/00 ,  G06N3/0895 ,  G06N3/09

CPC classification number: G01V1/30 ,  G06F18/2155 ,  G06N3/08 ,  G06N3/084 ,  G06N20/00 ,  G01V2210/6161 ,  G06N3/0895 ,  G06N3/09

Abstract: A method for improving a backpropagation-enabled process for identifying subsurface features from seismic data involves a model that has been trained with an initial set of training data. A target data set is used to compute a set of initial inferences on the target data set that are combined with the initial training data to define updated training data. The model is trained with the updated training data. Updated inferences on the target data set are then computed. A set of further-updated training data is defined by combining at least a portion of the initial set of training data and at least a portion of the target data and associated updated inferences. The set of further-updated training data is used to train the model. Further-updated inferences on the target data set are then computed and used to identify the occurrence of a user-selected subsurface feature in the target data set.

公开(公告)号：US20220128724A1

公开(公告)日：2022-04-28

申请号：US17510526

申请日：2021-10-26

Applicant: SHELL OIL COMPANY

Inventor： Satyakee SEN ,  Russell David Potter ,  Donald Paul Griffith ,  Sam Ahmad Zamanian ,  Sergey Frolov

IPC: G01V1/30 ,  G06N3/08

Abstract: A method for improving a backpropagation-enabled process for identifying subsurface features from seismic data involves a model that has been trained with an initial set of training data. A target data set is used to compute a set of initial inferences on the target data set that are combined with the initial training data to define updated training data. The model is trained with the updated training data. Updated inferences on the target data set are then computed. A set of further-updated training data is defined by combining at least a portion of the initial set of training data and at least a portion of the target data and associated updated inferences. The set of further-updated training data is used to train the model. Further-updated inferences on the target data set are then computed and used to identify the occurrence of a user-selected subsurface feature in the target data set.