公开(公告)号：US20250111108A1

公开(公告)日：2025-04-03

申请号：US18593158

申请日：2024-03-01

Applicant: Schlumberger Technology Corporation

Inventor： Ivan Fornasier ,  Maneesh Pisharat ,  Ana Escobar ,  Pawel Presnal

IPC: G06F30/27

Abstract: A method for estimating reservoir fluid properties includes classifying the reservoir fluid as normal or abnormal from a measured gas composition and a classified fluid type with a trained machine learning model, predicting a heavy hydrocarbon fraction of the reservoir fluid when the reservoir fluid is classified as normal from the measured composition and the classified fluid type with a another trained machine learning, and predicting a heavy hydrocarbon fraction of the reservoir fluid when the reservoir fluid is classified as abnormal from the measured composition and the classified fluid type with a still another trained machine learning model.