2014
DOI: 10.1080/10916466.2011.648041
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The Application of Biological Wastewater Treatment Technology in Shengli Oilfield

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Cited by 6 publications
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“…At present, pipeline leakage detection and location methods mainly include negative pressure wave method [4], infrasonic wave method [5], flowrate balance method [6], correlation analysis method [7], transient state model method [8], neural network method [9] and so on. Among them, infrasonic wave method is more mature, with high sensitivity, accurate positioning and wide application range.…”
Section: Introductionmentioning
confidence: 99%
“…At present, pipeline leakage detection and location methods mainly include negative pressure wave method [4], infrasonic wave method [5], flowrate balance method [6], correlation analysis method [7], transient state model method [8], neural network method [9] and so on. Among them, infrasonic wave method is more mature, with high sensitivity, accurate positioning and wide application range.…”
Section: Introductionmentioning
confidence: 99%
“…After mixing, its composition is very complex, and the main characteristic is that the wastewater contains a large number of oil droplets of different sizes and suspended matter [1][2][3][4]. Chemical flocculation treatment method can make the oil droplets and suspended matter in the wastewater quickly settle and flocculate, which is one of the main treatment methods for oilfield wastewater [5,6]. The organic polymer flocculant cationic polyacrylamide (CPAM) has the characteristics of low additive amount, good turbidity removal and water purification effect, high COD removal efficiency, and has become the most commonly used polymer flocculant in the oilfield wastewater treatment process [7][8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…Biological wastewater treatment systems are one of the most common wastewater treatment methods in the world [Andreottola et al 2009, Song et al 2014]. Properly adjusted technological conditions make it possible to achieve satisfactory removal of carbon, nitrogen and phosphorus compounds [Turkmenler and Aslan 2017, Ofman and Struk-Sokołowska, 2019, Joshiba et al 2019].…”
Section: Introductionmentioning
confidence: 99%