Prediction of coalbed methane productivity based on neural network models

Prediction of coalbed methane productivity based on neural network models

ObjectivesThe productivity of coalbed methane is mainly affected by geological and engineering factors. Clarifying the influence mechanism of these factors on the productivity of coalbed methane wells is the basis for achieving fine reservoir reconstruction and increasing production of coalbed metha...

Full description

Saved in:
Bibliographic Details
Main Authors: JIN Yi, ZHENG Chenhui, SONG Huibo, MA Jiaheng, YANG Yunhang, LIU Shunxi, ZHANG Kun, NI Xiaoming
Format: Article
Language:zho
Published: Academic Publishing Center of HPU 2025-01-01
Series:河南理工大学学报. 自然科学版
Subjects:
lstm neural network
bp neural network
grey correlation analysis
productivity prediction
Online Access:http://xuebao.hpu.edu.cn/info/11196/95996.htm
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items