公开(公告)号：US20240303399A1

公开(公告)日：2024-09-12

申请号：US18546132

申请日：2022-02-11

Applicant: CHEVRON U.S.A. INC.

Inventor： Mustafa Can Kara

IPC: G06F30/27

CPC classification number: G06F30/27

Abstract: An unsupervised machine-learning model is trained using historical operation characteristics of a well. Operation characteristics of the well for a duration of time is reconstructed by the unsupervised machine-learning model. Whether a sanding event will occur in the future at the well is predicted based on the difference between the operation characteristics of the well and the reconstructed operation characteristics of the well.

公开(公告)号：US20230274153A1

公开(公告)日：2023-08-31

申请号：US18311884

申请日：2023-05-03

Applicant: Chevron U.S.A. Inc.

Inventor： Mustafa Can Kara

IPC: G06N3/088 ,  G06N3/0455

CPC classification number: G06N3/088 ,  G06N3/0455

Abstract: An unsupervised machine-learning model is trained using historical operation characteristics of a well. Operation characteristics of the well for a duration of time is reconstructed by the unsupervised machine-learning model. Whether an asphaltene anomaly will occur in the future at the well is predicted based on the difference between the operation characteristics of the well and the reconstructed operation characteristics of the well.