公开(公告)号：US20250149126A1

公开(公告)日：2025-05-08

申请号：US18934581

申请日：2024-11-01

Applicant: Schlumberger Technology Corporation

Inventor： Bastian Sauerer ,  Moein Zeynolabedinpour ,  Kang Wang ,  Chandrashekhar Khandekar

IPC: G16C20/30 ,  G01N33/28 ,  G16C20/70 ,  G16C20/90

Abstract: A method of selecting paraffin inhibitors for a target crude oil includes inputting one of more known properties of a target crude oil into a machine learning model and extrapolating unknown properties of a historical data set using a machine learning model. The machine learning model is trained on the historical data set that includes one or more properties of a plurality of crude oils, one or more properties of a plurality of paraffin inhibitors, and one or more paraffin inhibiting efficiencies of the paraffin inhibitors with the plurality of crude oils. Paraffin inhibiting efficiency is predicted based on the historical data set and extrapolated unknown properties for the plurality of paraffin inhibitors that may be used with the target crude oil. One or more of a list of crude oils having one or more properties within a numerical tolerance of the properties of the target crude oil, a list of paraffin inhibitors for use with the target crude oil, and a list of paraffin inhibitor properties are output.