Assessing the Impact of Hydraulic Fracturing on Water Resources in the Fayetteville Shale Area (Arkansas, USA)

2012 ◽  
Author(s):  
Aziz Abouabdillah ◽  
Mauro Di Luzio ◽  
Jackson Cothren ◽  
Malcolm D Williamson
Keyword(s):  
Water Resources ◽  
Hydraulic Fracturing ◽  
Fayetteville Shale ◽  
The Impact

scholarly journals Impacts of hydraulic fracturing on surface and groundwater water resources: A case study from Louisiana, USA.

2020 ◽  
Author(s):  
Hanz Gunter Unruh ◽  
Emad Hosny Habib ◽  
David Borrok
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
Hydraulic Fracturing ◽  
Water Supply ◽  
Groundwater Resources ◽  
Watershed Scale ◽  
Surface Water Resources ◽  
Water Demands ◽  
The Impact ◽  
Surface And Groundwater

Abstract Background: Unconventional oil and gas reservoirs, frequently referred to as shale plays , have been gaining more attention in recent years. Hydraulic fracturing is performed to extract fossil fuels from unconventional reservoirs. Besides possible environmental implications, a better understanding of the potential stress that fracking may cause to water resources at the local or regional scale is still needed. The goal of this study is to assess the impact of current and projected future water demands for fracking on water resources in two main shale plays in Louisiana, USA. Methods: The analysis is performed in Louisiana’s two main shale plays, the Haynesville Shale and the Tuscaloosa Marine Shale, using the Water Supply Stress Index (WaSSI) framework. WaSSI is used to evaluate the stress at a fine watershed scale (HUC12) for annual-average conditions. The study analyzes different scenarios of historical and two future projected fracking conditions that simulate different extraction rates. In each fracking scenario, stresses on both surface and groundwater are evaluated separately. The study is based on a multitude of water supply and withdrawals datasets assembled and disaggregated to the watershed scale. Results: Under existing conditions, the impact of fracking water demands on surface water resources is within the low stress category in most watersheds in both shale plays. This impact remains low under more aggressive future fracking scenarios. In contrast, groundwater resources appear to be highly vulnerable under both the historical and projected fracking scenarios, especially in the Haynesville Shale where 20 out of the 94 watersheds become medium or highly stressed. If groundwater resources remained as a main source for fracking water, the number of stressed watersheds increased to 39 and 86 under the two projected future fracking scenarios. The least exploited Tuscaloosa Marine Shale remains mostly under low stress, except in the most aggressive future fracking scenario. Conclusions: Surface water resources in Louisiana’s shale plays seem abundant enough for fracking activities to rely on this source instead of groundwater whenever possible. Groundwater resources in Louisiana are clearly vulnerable to fracking activities, especially for the Haynesville shale play, under current and future projected fracking conditions.

Evaluation of Hydraulic Fracturing Models and Their Limitations to Predict No-Drill Zones for Horizontal Directional Drilling

2018 ◽  
Author(s):  
Saeed Delara ◽  
Kendra MacKay
Keyword(s):  
Hydraulic Fracturing ◽  
Safety Factor ◽  
Standard Procedure ◽  
Accurate Determination ◽  
Strength Properties ◽  
Analytical Models ◽  
Alternative Methods ◽  
Directional Drilling ◽  
Horizontal Directional Drilling ◽  
The Impact

Horizontal directional drilling (HDD) has become the preferred method for trenchless pipeline installations. Drilling pressures must be limited and a “no-drill zone” determined to avoid exceeding the strength of surrounding soil and rock. The currently accepted industry method of calculating hydraulic fracturing limiting pressure with application of an arbitrary safety factor contains several assumptions that are often not applicable to specific ground conditions. There is also no standard procedure for safety factor determination, resulting in detrimental impacts on drilling operations. This paper provides an analysis of the standard methods and proposes two alternative analytical models to more accurately determine the hydraulic fracture point and acceptable drilling pressure. These alternative methods provide greater understanding of the interaction between the drilling pressures and the surrounding ground strength properties. This allows for more accurate determination of horizontal directional drilling limitations. A comparison is presented to determine the differences in characteristics and assumptions for each model. The impact of specific soil properties and factors is investigated by means of a sensitivity analysis to determine the most critical soil information for each model.

scholarly journals Analysing the Impact of Climate Change on Hydrological Ecosystem Services in Laguna del Sauce (Uruguay) Using the SWAT Model and Remote Sensing Data

2021 ◽  
Vol 13 (10) ◽  
pp. 2014
Author(s):  
Celina Aznarez ◽  
Patricia Jimeno-Sáez ◽  
Adrián López-Ballesteros ◽  
Juan Pablo Pacheco ◽  
Javier Senent-Aparicio
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Ecosystem Services ◽  
Water Resources ◽  
Swat Model ◽  
Remote Sensing Data ◽  
Erosion Control ◽  
Sensing Data ◽  
Extreme Precipitation Events ◽  
The Impact

Assessing how climate change will affect hydrological ecosystem services (HES) provision is necessary for long-term planning and requires local comprehensive climate information. In this study, we used SWAT to evaluate the impacts on four HES, natural hazard protection, erosion control regulation and water supply and flow regulation for the Laguna del Sauce catchment in Uruguay. We used downscaled CMIP-5 global climate models for Representative Concentration Pathways (RCP) 2.6, 4.5 and 8.5 projections. We calibrated and validated our SWAT model for the periods 2005–2009 and 2010–2013 based on remote sensed ET data. Monthly NSE and R2 values for calibration and validation were 0.74, 0.64 and 0.79, 0.84, respectively. Our results suggest that climate change will likely negatively affect the water resources of the Laguna del Sauce catchment, especially in the RCP 8.5 scenario. In all RCP scenarios, the catchment is likely to experience a wetting trend, higher temperatures, seasonality shifts and an increase in extreme precipitation events, particularly in frequency and magnitude. This will likely affect water quality provision through runoff and sediment yield inputs, reducing the erosion control HES and likely aggravating eutrophication. Although the amount of water will increase, changes to the hydrological cycle might jeopardize the stability of freshwater supplies and HES on which many people in the south-eastern region of Uruguay depend. Despite streamflow monitoring capacities need to be enhanced to reduce the uncertainty of model results, our findings provide valuable insights for water resources planning in the study area. Hence, water management and monitoring capacities need to be enhanced to reduce the potential negative climate change impacts on HES. The methodological approach presented here, based on satellite ET data can be replicated and adapted to any other place in the world since we employed open-access software and remote sensing data for all the phases of hydrological modelling and HES provision assessment.

scholarly journals Simulation of Pan-Evaporation Using Penman and Hamon Equations and Artificial Intelligence Techniques

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 793
Author(s):  
Abdul Razzaq Ghumman ◽  
Mohammed Jamaan ◽  
Afaq Ahmad ◽  
Md. Shafiquzzaman ◽  
Husnain Haider ◽  
...  
Keyword(s):  
Wind Speed ◽  
Water Resources ◽  
Arid Regions ◽  
Fuzzy Inference ◽  
Sunshine Duration ◽  
Pan Evaporation ◽  
Estimation Of Parameters ◽  
Inference System ◽  
Daunting Task ◽  
The Impact

The evaporation losses are very high in warm-arid regions and their accurate evaluation is vital for the sustainable management of water resources. The assessment of such losses involves extremely difficult and original tasks because of the scarcity of data in countries with an arid climate. The main objective of this paper is to develop models for the simulation of pan-evaporation with the help of Penman and Hamon’s equations, Artificial Neural Networks (ANNs), and the Artificial Neuro Fuzzy Inference System (ANFIS). The results from five types of ANN models with different training functions were compared to find the best possible training function. The impact of using various input variables was investigated as an original contribution of this research. The average temperature and mean wind speed were found to be the most influential parameters. The estimation of parameters for Penman and Hamon’s equations was quite a daunting task. These parameters were estimated using a state of the art optimization algorithm, namely General Reduced Gradient Technique. The results of the Penman and Hamon’s equations, ANN, and ANFIS were compared. Thirty-eight years (from 1980 to 2018) of manually recorded pan-evaporation data regarding mean daily values of a month, including the relative humidity, wind speed, sunshine duration, and temperature, were collected from three gauging stations situated in Al Qassim, Saudi Arabia. The Nash and Sutcliffe Efficiency (NSE) and Mean Square Error (MSE) evaluated the performance of pan-evaporation modeling techniques. The study shows that the ANFIS simulation results were better than those of ANN and Penman and Hamon’s equations. The findings of the present research will help managers, engineers, and decision makers to sustainability manage natural water resources in warm-arid regions.

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