scholarly journals Water Use for Marcellus Shale Gas Extraction

2011 ◽  
Author(s):  
Timothy J Skone
Keyword(s):  
Water Use ◽  
Shale Gas ◽  
Marcellus Shale ◽  
Gas Extraction

Trace metal distribution and mobility in drill cuttings and produced waters from Marcellus Shale gas extraction: Uranium, arsenic, barium

2015 ◽  
Vol 60 ◽  
pp. 89-103 ◽  
Author(s):  
Thai T. Phan ◽  
Rosemary C. Capo ◽  
Brian W. Stewart ◽  
Joseph R. Graney ◽  
Jason D. Johnson ◽  
...  
Keyword(s):  
Trace Metal ◽  
Shale Gas ◽  
Marcellus Shale ◽  
Metal Distribution ◽  
Gas Extraction ◽  
Drill Cuttings ◽  
Trace Metal Distribution ◽  
Produced Waters

scholarly journals Water use for shale gas extraction in the Sichuan Basin, China

2018 ◽  
Vol 226 ◽  
pp. 13-21 ◽  
Author(s):  
Jianliang Wang ◽  
Mingming Liu ◽  
Yongmei Bentley ◽  
Lianyong Feng ◽  
Chunhua Zhang
Keyword(s):  
Water Use ◽  
Shale Gas ◽  
Sichuan Basin ◽  
Gas Extraction ◽  
The Sichuan Basin

scholarly journals Boon or Bane? Discursive Construction of the Shale Gas Controversy

2017 ◽  
Vol 8 (2) ◽  
pp. 129-148
Author(s):  
Zeynep Cihan Koca-Helvacı
Keyword(s):  
Shale Gas ◽  
Corpus Linguistics ◽  
Marcellus Shale ◽  
The Other ◽  
Discursive Construction ◽  
Gas Extraction ◽  
Argumentation Schemes ◽  
Discursive Strategies ◽  
American Society ◽  
Discourse Historical Approach

This study explores strategies in pro and anti-shale organizations’ discourse by combining the Discourse-Historical Approach (Wodak, 2001) with corpus linguistics. With the help of keyword lists, collocations, concordances, and key semantic domains, the representations of shale gas extraction, relevant actors and argumentation schemes in opposing discourses of the pro-shale Marcellus Shale Coalition and anti-shale Americans Against Fracking were analyzed. The findings of the study show that the advocates presented shale gas as a bonus for the crisis-struck American society while backgrounding its environmental impacts. The opponents, on the other hand, represented shale gas as a threat to the American ecosystem and public health through an alarming and scientific discourse. The empirical findings of this study add to a growing body of literature on discursive strategies employed by opposing camps of environmental controversies.

The Great Divide: Public Perceptions of Shale Gas Extraction and Hydraulic Fracturing in Pennsylvania and New York

Commonwealth ◽  
2017 ◽  
Vol 19 (1) ◽  
Author(s):  
Erick Lachapelle
Keyword(s):  
New York ◽  
Hydraulic Fracturing ◽  
Shale Gas ◽  
Public Awareness ◽  
Marcellus Shale ◽  
Public Perceptions ◽  
Gas Extraction ◽  
Negative Effects ◽  
Levels Of Support

This study compares public perceptions of shale gas extraction and hydraulic fracturing in two of the most populous states with significant shale gas reserves but with vastly different approaches to developing this resource. Drawing on data from a comparative survey administered to two statewide samples in Pennsylvania (n = 411) and New York (n = 404), the study examines the correlates of support for hydraulic fracturing, as well as general levels of public awareness, and perceptions of effects of hydraulic fracturing within the Marcellus shale play. Though the level of awareness of the fracking issue among residents of Pennsylvania and New York is found to be similarly high, levels of support for fracking differ, mirroring distinctive policy approaches found in these neighboring states. The correlates of support for fracking include being Republican, having a conservative ideology, and being male. The study also finds that residents of New York are more aware of fracking policy and debate in Pennsylvania than vice versa, with many New York residents perceiving negative effects on their home state as a result of fracking in neighboring Pennsylvania. This asymmetric level of awareness and concern raises new questions on the role of cross-­border perceptions in shaping opinion toward hydraulic fracturing in adjacent states.

scholarly journals Increased stray gas abundance in a subset of drinking water wells near Marcellus shale gas extraction

2013 ◽  
Vol 110 (28) ◽  
pp. 11250-11255 ◽  
Author(s):  
R. B. Jackson ◽  
A. Vengosh ◽  
T. H. Darrah ◽  
N. R. Warner ◽  
A. Down ◽  
...  
Keyword(s):  
Drinking Water ◽  
Shale Gas ◽  
Marcellus Shale ◽  
Gas Extraction ◽  
Water Wells

CHEMICAL FORMS OF INORGANIC ELEMENTS IN WASTEWATER FROM A MARCELLUS SHALE-GAS WELL

2016 ◽  
Author(s):  
Douglas B. Kent ◽  
◽  
Matthias Kohler ◽  
Meagan Mnich ◽  
Christopher H. Conaway ◽  
...  
Keyword(s):  
Shale Gas ◽  
Marcellus Shale ◽  
Chemical Forms ◽  
Inorganic Elements ◽  
Gas Well

scholarly journals New Hybrid Approach for Developing Automated Machine Learning Workflows: A Real Case Application in Evaluation of Marcellus Shale Gas Production

Fuels ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 286-303
Author(s):  
Vuong Van Pham ◽  
Ebrahim Fathi ◽  
Fatemeh Belyadi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Shale Gas ◽  
Field Data ◽  
Marcellus Shale ◽  
Hybrid Approach ◽  
Gas Production ◽  
Bayesian Optimization ◽  
Real Field ◽  
Engineering Problems

The success of machine learning (ML) techniques implemented in different industries heavily rely on operator expertise and domain knowledge, which is used in manually choosing an algorithm and setting up the specific algorithm parameters for a problem. Due to the manual nature of model selection and parameter tuning, it is impossible to quantify or evaluate the quality of this manual process, which in turn limits the ability to perform comparison studies between different algorithms. In this study, we propose a new hybrid approach for developing machine learning workflows to help automated algorithm selection and hyperparameter optimization. The proposed approach provides a robust, reproducible, and unbiased workflow that can be quantified and validated using different scoring metrics. We have used the most common workflows implemented in the application of artificial intelligence (AI) and ML in engineering problems including grid/random search, Bayesian search and optimization, genetic programming, and compared that with our new hybrid approach that includes the integration of Tree-based Pipeline Optimization Tool (TPOT) and Bayesian optimization. The performance of each workflow is quantified using different scoring metrics such as Pearson correlation (i.e., R2 correlation) and Mean Square Error (i.e., MSE). For this purpose, actual field data obtained from 1567 gas wells in Marcellus Shale, with 121 features from reservoir, drilling, completion, stimulation, and operation is tested using different proposed workflows. A proposed new hybrid workflow is then used to evaluate the type well used for evaluation of Marcellus shale gas production. In conclusion, our automated hybrid approach showed significant improvement in comparison to other proposed workflows using both scoring matrices. The new hybrid approach provides a practical tool that supports the automated model and hyperparameter selection, which is tested using real field data that can be implemented in solving different engineering problems using artificial intelligence and machine learning. The new hybrid model is tested in a real field and compared with conventional type wells developed by field engineers. It is found that the type well of the field is very close to P50 predictions of the field, which shows great success in the completion design of the field performed by field engineers. It also shows that the field average production could have been improved by 8% if shorter cluster spacing and higher proppant loading per cluster were used during the frac jobs.

scholarly journals Remote Sensing of Forest Structural Changes Due to the Recent Boom of Unconventional Shale Gas Extraction Activities in Appalachian Ohio

2021 ◽  
Vol 13 (8) ◽  
pp. 1453
Author(s):  
Yang Liu
Keyword(s):  
Forest Fragmentation ◽  
Shale Gas ◽  
Structural Changes ◽  
Point Clouds ◽  
Aerial Images ◽  
Gas Extraction ◽  
River Watershed ◽  
Forest Connectivity ◽  
Image Objects ◽  
Appalachian Ohio

Dense unconventional shale gas extraction activities have occurred in Appalachian Ohio since 2010 and they have caused various landcover changes and forest fragmentation issues. This research investigated the most recent boom of unconventional shale gas extraction activities and their impacts on the landcover changes and forest structural changes in the Muskingum River Watershed in Appalachian Ohio. Triple-temporal high-resolution natural-color aerial images from 2006 to 2017 and a group of ancillary geographic information system (GIS) data were first used to digitize the landcover changes due to the recent boom of these unconventional shale gas extraction activities. Geographic object-based image analysis (GEOBIA) was then employed to form forest patches as image objects and to accurately quantify the forest connectivity. Lastly, the initial and updated forest image objects were used to quantify the loss of core forest as the two-dimensional (2D) forest structural changes, and initial and updated canopy height models (CHMs) derived from airborne light detection and ranging (LiDAR) point clouds were used to quantify the loss of forest volume as three-dimensional (3D) forest structural changes. The results indicate a consistent format but uneven spatiotemporal development of these unconventional shale gas extraction activities. Dense unconventional shale gas extraction activities formed two apparent hotspots. Two-thirds of the well pad facilities and half of the pipeline right-of-way (ROW) corridors were constructed during the raising phase of the boom. At the end of the boom, significant forest fragmentation already occurred in both hotspots of these active unconventional shale gas extraction activities, and the areal loss of core forest reached up to 14.60% in the densest concentrated regions of these activities. These results call for attention to the ecological studies targeted on the forest fragmentation in the Muskingum River Watershed and the broader Appalachian Ohio regions.

scholarly journals Lung Cancer Risk from Radon in Marcellus Shale Gas in Northeast U.S. Homes

Risk Analysis ◽  
2016 ◽  
Vol 36 (11) ◽  
pp. 2105-2119 ◽  
Author(s):  
Austin L. Mitchell ◽  
W. Michael Griffin ◽  
Elizabeth A. Casman
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Shale Gas ◽  
Lung Cancer Risk ◽  
Marcellus Shale
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