Enhanced biofiltration of O&G produced water comparing granular activated carbon and nutrients.

Autor: Riley SM; Civil and Environmental Engineering Department, Colorado School of Mines, Golden, CO 80401, United States., Ahoor DC; Chemical and Biochemical Engineering Department, Colorado School of Mines, Golden, CO 80401, United States., Cath TY; Civil and Environmental Engineering Department, Colorado School of Mines, Golden, CO 80401, United States. Electronic address: tcath@mines.edu.
Jazyk: angličtina
Zdroj: The Science of the total environment [Sci Total Environ] 2018 Nov 01; Vol. 640-641, pp. 419-428. Date of Electronic Publication: 2018 Jun 01.
DOI: 10.1016/j.scitotenv.2018.05.228
Abstrakt: Large volumes of water are required for the development of unconventional oil and gas (O&G) wells. Water scarcity coupled with seismicity induced by deep-well disposal promote new O&G wastewater management strategies, specifically treatment and reuse. One technology that has been proven effective for removal of organic matter and solids is biologically active filtration (BAF) with granular active carbon (GAC); however, further optimization is needed to enhance BAF performance. This study evaluated three GAC media (one spent and two new) and two nutrient-mix supplements for enhanced removal of chemical oxygen demand (COD) and dissolved organic carbon (DOC). Biofilm development was also monitored and correlated to BAF performance. The spent GAC with extant biofilm quickly acclimated to PW and demonstrated up to 92% DOC removal (81% COD) in 24h, while little impact by nutrient addition was observed. In addition, virgin GAC was slow to establish a biofilm, indicating that appropriate GAC selection and pre-developed biofilm is critical for efficient BAF performance. Furthermore, the production of high quality BAF effluent (less than 20mg/L DOC) presents the opportunity to apply BAF as a pretreatment for subsequent desalination-expanding the potential for reuse applications of PW.
(Copyright © 2017. Published by Elsevier B.V.)
Databáze: MEDLINE
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