Replication Data for: Quantifying Non-steady State Natural Gas Leakage from the Pipelines Using an Innovative Sensor Network and Model for Subsurface Emissions - InSENSE

Name: Replication Data for: Quantifying Non-steady State Natural Gas Leakage from the Pipelines Using an Innovative Sensor Network and Model for Subsurface Emissions - InSENSE
Creator: Colorado State University; Southern Methodist University
Published: 2022-05-01T00:00:00+08:00

Texas Data Repository2023-08-11 更新2026-04-16 收录

石油泄漏监测

地下气体扩散模型

数据链接：

https://dataverse.tdl.org/citation?persistentId=doi:10.18738/T8/SPE8QJ 数据链接链接失效反馈

官方服务：

资源简介：

Replication Data for: Quantifying Non-steady State Natural Gas Leakage from the Pipelines Using an Innovative Sensor Network and Model for Subsurface Emissions - InSENSE

提供机构：

Colorado State University; Southern Methodist University

创建时间：

2022-05-01