Methane Baseline Concentrations and Sources in Shallow Aquifers from the Shale Gas-Prone Region of the St. Lawrence Lowlands (Quebec, Canada)

2015 ◽  
Vol 49 (7) ◽  
pp. 4765-4771 ◽  
Author(s):  
Anja Moritz ◽  
Jean-Francois Hélie ◽  
Daniele L. Pinti ◽  
Marie Larocque ◽  
Diogo Barnetche ◽  
...  
Keyword(s):  
Shale Gas ◽  
Shallow Aquifers ◽  
Baseline Concentrations

Controls on Methane Occurrences in Shallow Aquifers Overlying the Haynesville Shale Gas Field, East Texas

Ground Water ◽  
2017 ◽  
Vol 55 (4) ◽  
pp. 443-454 ◽  
Author(s):  
Jean-Philippe Nicot ◽  
Toti Larson ◽  
Roxana Darvari ◽  
Patrick Mickler ◽  
Michael Slotten ◽  
...  
Keyword(s):  
Shale Gas ◽  
East Texas ◽  
Shallow Aquifers ◽  
Gas Field

Modeling of Methane Migration in Shallow Aquifers from Shale Gas Well Drilling

Ground Water ◽  
2015 ◽  
Vol 54 (3) ◽  
pp. 345-353 ◽  
Author(s):  
Liwei Zhang ◽  
Daniel J. Soeder
Keyword(s):  
Shale Gas ◽  
Shallow Aquifers ◽  
Gas Well ◽  
Well Drilling

Economic benefit of shale gas exploitation based on back propagation neural network

2020 ◽  
Vol 39 (6) ◽  
pp. 8823-8830
Author(s):  
Jiafeng Li ◽  
Hui Hu ◽  
Xiang Li ◽  
Qian Jin ◽  
Tianhao Huang
Keyword(s):  
Neural Network ◽  
Shale Gas ◽  
Bp Neural Network ◽  
Large Scale ◽  
Linear Prediction ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Economic Benefits ◽  
Gas Well ◽  
Well Production

Under the influence of COVID-19, the economic benefits of shale gas development are greatly affected. With the large-scale development and utilization of shale gas in China, it is increasingly important to assess the economic impact of shale gas development. Therefore, this paper proposes a method for predicting the production of shale gas reservoirs, and uses back propagation (BP) neural network to nonlinearly fit reservoir reconstruction data to obtain shale gas well production forecasting models. Experiments show that compared with the traditional BP neural network, the proposed method can effectively improve the accuracy and stability of the prediction. There is a nonlinear correlation between reservoir reconstruction data and gas well production, which does not apply to traditional linear prediction methods

Shale, Quakes, and High Stakes: Regulating Fracking-Induced Seismicity in Oklahoma, USA and Lancashire, UK

2019 ◽  
Vol 3 (1) ◽  
pp. 1-14
Author(s):  
Miriam R. Aczel ◽  
Karen E. Makuch
Keyword(s):  
United States ◽  
Hydraulic Fracturing ◽  
Shale Gas ◽  
Seismic Activity ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
High Volume ◽  
The United States ◽  
Horizontal Drilling ◽  
Induced Seismic Activity

High-volume hydraulic fracturing combined with horizontal drilling has “revolutionized” the United States’ oil and gas industry by allowing extraction of previously inaccessible oil and gas trapped in shale rock [1]. Although the United States has extracted shale gas in different states for several decades, the United Kingdom is in the early stages of developing its domestic shale gas resources, in the hopes of replicating the United States’ commercial success with the technologies [2, 3]. However, the extraction of shale gas using hydraulic fracturing and horizontal drilling poses potential risks to the environment and natural resources, human health, and communities and local livelihoods. Risks include contamination of water resources, air pollution, and induced seismic activity near shale gas operation sites. This paper examines the regulation of potential induced seismic activity in Oklahoma, USA, and Lancashire, UK, and concludes with recommendations for strengthening these protections.

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