检索结果-南通市图书馆

Application of ML&AI to model petrophysical and geomechanical properties of shale reservoirs e A systematic literature review

引用

Petroleum 2022年第2期8卷 158-166页

作者： Fahad I.Syed abdulla alshamsi Amirmasoud K.Dahaghi Neghabhan S The University of Kansas School of EngineeringChemical and Petroleum Engineering1450 Jayhawk Blvd.Lawrence66045USA

Extensive reviews and cross-comparison studies are essential to analyze the emerging developments in a specific field of *** the past decade,hydrocarbon exploration and exploitation from the shale reservoirs have been the most discussed and researched area around the globe.A dramatic development in shale formations became the game-changer,especially in the *** the other hand,Artificial Intelligence(AI)and Machine Learning(ML)are playing an important role in the rapid development in all the industries through automating most of the routine *** oil industry is also getting equal benefits of AI and ML for the reservoir development planning and its operational accuracy through a series of automated *** the field development,computerized static and dynamic simulation models are generated based on several Petrophysical and Geomechanical properties gathered through different resources that are quite time-taking and *** and ML have made this process much easier,faster,and economical by means of learning through uncounted experiences from already explored and developed reservoirs,their rock properties,and the crossponding fluid flow behavior under different circumstances and hence,predicts *** article provides a comprehensive literature review in the area of AI and ML applications to model Petrophysical and Geomechanical properties using different approaches and ***,a systematic publication counts in each field of subject study per year in different literature databases are presented that infect reflects the trending interest in this ***,multiple AI and ML techniques are discussed in detail which have been tested in the last decade for the sake of achieving higher accuracy in Petrophysical and Geo-Mechanical simulation models.

关键词： AI ML Petrophysics GeoMechanics

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：