公开(公告)号：US20240046120A1

公开(公告)日：2024-02-08

申请号：US18355700

申请日：2023-07-20

Applicant: China University of Petroleum-Beijing

Inventor： Leilei YANG ,  Keyu LIU ,  Wei YANG ,  Hui WANG ,  Wenhao YANG ,  Zijie ZHOU ,  Ke XU ,  Yinglin CAO ,  Xiaowei LI ,  Yi LIU ,  Dawei WANG ,  Shu XU ,  Ziyang SONG

IPC: G06N5/022

CPC classification number: G06N5/022

Abstract: The present disclosure provides a training method and a prediction method for a diagenetic parameter prediction model based on an artificial intelligence algorithm, which includes: obtaining a plurality of diagenesis samples each including diagenetic condition parameters and an actual diagenetic parameter evolved therefrom; constructing an initial diagenetic parameter prediction model based on the diagenesis samples and a total dimension of the diagenetic condition parameters; and training the initial diagenetic parameter prediction model with the diagenesis samples so as to obtain a trained diagenetic parameter prediction model. The present disclosure can obtain a diagenetic parameter prediction model by training with the existing diagenesis samples, thereby solving problems of large amount of calculation, high uncertainty and large deviations in the prediction of the diagenetic parameters, which leads to a low evaluation accuracy of reservoirs and limits the oil and gas exploration.