公开(公告)号：US20240003235A1

公开(公告)日：2024-01-04

申请号：US18250565

申请日：2021-10-29

Applicant: Schlumberger Technology Corporation

Inventor： Jared Michael Bruns ,  Andrey Konchenko ,  Andrew Bonnell ,  Juan David Estrada Benavides

IPC: E21B43/26 ,  G05B13/02 ,  E21B47/00

CPC classification number: E21B43/26 ,  G05B13/0265 ,  E21B47/00 ,  E21B2200/20 ,  E21B2200/22

Abstract: A method can include, for a control action for a hydraulic fracturing operation of a well, using a trained machine learning model that predicts treatment pressure of the hydraulic fracturing operation, determining if the control action increases efficiency; if the control action increases efficiency, assessing viability of the control action with respect to one or more predefined criteria; and, if the control action is viable, issuing the control action for implementation during the hydraulic fracturing operation.