A novel approach to pore pressure modeling based on conventional well logs using convolutional neural network
Author:
Publisher
Elsevier BV
Subject
Geotechnical Engineering and Engineering Geology,Fuel Technology
Reference59 articles.
1. Robust hybrid machine learning algorithms for gas flow rates prediction through wellhead chokes in gas condensate fields;Abad;Fuel,2022
2. Hybrid machine learning algorithms to predict condensate viscosity in the near wellbore regions of gas condensate reservoirs;Abad;J. Nat. Gas Sci. Eng.,2021
3. Predicting oil flow rate through orifice plate with robust machine learning algorithms;Abad;Flow Meas. Instrum.,2021
4. Machine learning-based models for predicting permeability impairment due to scale deposition;Ahmadi;J. Pet. Explor. Prod. Technol.,2020
5. Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir;Ahmadi;Appl. Soft Comput.,2013
Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Artificial neural network prediction of wellbore stability in offshore shallow formations;Geoenergy Science and Engineering;2024-09
2. Smart predictions of petrophysical formation pore pressure via robust data-driven intelligent models;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-07-24
3. Enhancing pore pressure prediction accuracy: A knowledge-driven approach with temporal fusion transformer;Geoenergy Science and Engineering;2024-07
4. Generative Adversarial Network-Based Framework for Accurate DTS Logging Curve Generation in Heterogeneous Reservoirs;Day 1 Wed, June 26, 2024;2024-06-26
5. Effectiveness of the method for selecting rotary-steerable systems based on the machine learning algorithm Random Forest Classifier;Bulletin of the Tomsk Polytechnic University Geo Assets Engineering;2024-04-25
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3