首页> 外文OA文献 >An Improved New Convolutional Neural Network Method for Inverting the Pore Pressure in Oil Reservoir by Surface Vertical Deformation

【2h】

An Improved New Convolutional Neural Network Method for Inverting the Pore Pressure in Oil Reservoir by Surface Vertical Deformation

机译：一种改进的新卷积神经网络，通过表面垂直变形反转油藏孔隙压力

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Chaoyang Hu; Fengjiao Wang; Chi Ai; Xu Wang; Yongping Wang;
展开▼
作者单位

展开▼
年度 2021
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Vertical intent prediction approach based on Doc2vec and convolutional neural networks for improving vertical selection in aggregated search [J] . Sanae Achsas, El Habib Nfaoui International Journal of Electrical and Computer Engineering . 2020,第4期

机译：基于DOC2VEC和卷积神经网络的垂直意向预测方法，用于改进聚合搜索中的垂直选择
2. Optimization Study on Chemical Flooding for Viscous Oil Reservoirs by an Artificial Neural Network with the Support of the Response Surface Methodology [J] . Si Le Van, Bo Hyun Chon International Journal of Applied Engineering Research . 2017,第24aPta11期

机译：用响应面法支持人工神经网络粘性油藏化学洪水的优化研究
3. Inverting subsurface flow data for geologic scenarios selection with convolutional neural networks [J] . Jiang Anyue, Jafarpour Behnam Advances in Water Resources . 2021,第Mara期

机译：使用卷积神经网络选择地质场景选择的地下流量数据
4. Real-Time Pore Pressure Prediction in Depleted Reservoirs Using Regression Analysis and Artificial Neural Networks [C] . Farqad Hadi, Andreas Eckert, Faleh Almahdawi SPE Middle East Oil and Gas Show and Conference . 2019

机译：使用回归分析和人工神经网络耗尽储层中实时孔隙压力预测
5. Carbonate Reservoir Characterization Experimental and Numerical Study of Overburden Pressure, Pore Size Distribution, Capillary Pressure, Porosity and Permeability in Ab-Teymur Oil Field. [D] . Shafiee, Mohammad Ebrahim. 2010

机译：Ab-Teymur油田碳酸盐岩储层表征实验及数值模拟，研究其上覆压力，孔隙大小分布，毛细管压力，孔隙度和渗透率。
6. Estimation and Prediction of Vertical Deformations of Random Surfaces Applying the Total Least Squares Collocation Method [O] . Zbigniew Wiśniewski, Waldemar Kamiński 2020

机译：随机表面垂直变形的估计和预测施加总对方块搭配方法
7. Vertical intent prediction approach based on Doc2vec and convolutional neural networks for improving vertical selection in aggregated search [O] . Sanae Achsas, El Habib Nfaoui 2020

机译：基于DOC2VEC和卷积神经网络的垂直意向预测方法，用于改进聚合搜索中的垂直选择

An Improved New Convolutional Neural Network Method for Inverting the Pore Pressure in Oil Reservoir by Surface Vertical Deformation

著录项

引文网络

相似文献

相关主题

期刊订阅