Nonlinear Autoregressive Neural Networks to Predict Hydraulic Fracturing Fluid Leakage into Shallow Groundwater

Nonlinear Autoregressive Neural Networks to Predict Hydraulic Fracturing Fluid Leakage into Shallow Groundwater

Hydraulic fracturing of horizontal wells is an essential technology for the exploitation of unconventional resources, but led to environmental concerns. Fracturing fluid upward migration from deep gas reservoirs along abandoned wells may pose contamination threats to shallow groundwater. This study...

Full description

Bibliographic Details
Main Authors: Reza Taherdangkoo, Alexandru Tatomir, Mohammad Taherdangkoo, Pengxiang Qiu, Martin Sauter
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Water
Subjects:
nar neural networks
hydraulic fracturing
groundwater contamination
fracturing fluid
abandoned well
north german basin
Online Access:https://www.mdpi.com/2073-4441/12/3/841

Internet

https://www.mdpi.com/2073-4441/12/3/841

Similar Items