Research on prediction methods of formation pore pressure based on machine learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Research on prediction methods of formation pore pressure based on machine learning

Published:2022-03-10 Issue:6 Volume:10 Page:1886-1901
ISSN:2050-0505
Container-title:Energy Science & Engineering
language:en
Short-container-title:Energy Science & Engineering

Author:

Huang Honglin¹^ORCID,Li Jun¹²,Yang Hongwei¹,Wang Biao¹,Gao Reyu¹,Luo Ming³,Li Wentuo³,Zhang Geng¹,Liu Liu⁴

Affiliation:

1. College of Petroleum Engineering China University of Petroleum Beijing China

2. Faculty of Petroleum China University of Petroleum Karamay China

3. Drilling Technology Department CNOOC China Limited Zhanjiang China

4. School of Foreign Languages, China University of Petroleum Beijing China

Publisher

Wiley

Subject

General Energy,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.1112

Reference58 articles.

1. Hydrodynamics and overpressure mechanisms in the Sacramento Basin, California

2. Hydrodynamic aquifer or reservoir compartmentalization?

3. Reservoir Geomechanics

4. Origin of overpressure and pore-pressure prediction in the Baram province, Brunei

5. Seismic Petrophysics in Quantitative Interpretation

Cited by 8 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. Pore pressure prediction of hydrocarbon reservoirs with empirical models and artificial neural network: case study in the Doba basin, Chad;Discover Geoscience;2024-09-03

2. Data-Driven Method for Vacuum Prediction in the Underwater Pump of a Cutter Suction Dredger;Processes;2024-04-17

3. A Comparative Study of Real-Time Pore Pressure Gradient Determination by Various Methods (A Case Study);Indian Geotechnical Journal;2024-02-03

4. Research progress of machine-learning algorithm for formation pore pressure prediction;Petroleum Science and Technology;2024-01-03

5. An adaptive physics-informed deep learning method for pore pressure prediction using seismic data;Petroleum Science;2023-11

同舟云学术

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