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Por favor, use este identificador para citar o enlazar este ítem: http://documenta.ciemat.es/handle/123456789/4380

Título : A model for predicting organic compounds concentration change in water associated with horizontal hydraulic fracturing
Autor : Ma, Lanting
Hurtado, Antonio
Eguilior, Sonsoles
Llamas Borrajo, Juan F.
Palabras clave : Hydraulic fracturing
chemical concentration
Organic compounds
Transport model
Flowback water
Marcellus shale
Fecha de publicación : jun-2018
Editorial : Elsevier
Citación : Lanting Ma, Antonio Hurtado, Sonsoles Eguilior, Juan F. Llamas Borrajo. A model for predicting organic compounds concentration change in water associated with horizontal hydraulic fracturing. Science of The Total Environment, Volume 625, 2018, Pages 1164-1174, https://doi.org/10.1016/j.scitotenv.2017.12.273.
Resumen : Horizontal drilling and hydraulic fracturing are technologies designed to increase natural gas flow and to improve productivity in low permeability formations. During this drilling operation, tons of flowback and produced water, which contain several organic compounds, return to the surface with a potential risk of influencing the surrounding environment and human health. In order to conduct predictive risk assessments a mathematical model is needed to evaluate organic compound behaviour along the water transportation process as well as concentration changes over time throughout the operational life cycle. A comprehensive model, which fits the experimental data, combining an Organic Matter Transport Dynamic Model with a Two-Compartment First-order Rate Constant (TFRC) Model has been established to quantify the organic compounds concentrations. This algorithm model incorporates two transportation rates, fast and slow. The results show that the higher the value of the organic carbon partition coefficient (koc) in chemicals, the later the maximum concentration in water will be reached. The maximum concentration percentage would reach up to 90% of the available concentration of each compound in shale formation (whose origin may be associated to drilling fluid, connate water and/or rock matrix) over a sufficiently long period of time. This model could serve as a contribution to enhance monitoring strategy, increase benefits out of optimizing health risk assessment for local residents and provide initial baseline data to further operations.
URI : http://documenta.ciemat.es/handle/123456789/4380
ISSN : 0048-9697
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