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首页> 外文期刊>International Journal of Environment and Bioenergy >Environmental Impacts of Produced Water Potential Discharge: A Case Study of Umuechem/Umutu Oil Fields, Niger Delta, Nigeria
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Environmental Impacts of Produced Water Potential Discharge: A Case Study of Umuechem/Umutu Oil Fields, Niger Delta, Nigeria

机译:产水潜力排放对环境的影响:以尼日利亚尼日尔三角洲的Umuechem / Umutu油田为例

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The physico-chemical properties and the concentration of trace metals such as Cu, Cr, Fe, Pb, Ni, Zn, Mn of eight produced water samples from two producing oil fields in Niger Delta, Nigeria were investigated to delineate the impact of their discharge into the environment. The result showed that pH ranged from 5.21 to 8.35; conductivity ranged from 70.00 to 147.00 μS cm~(-1), TDS ranged from 364.00 to 2,682.00 mg L~(-1); Cl~- ranged from 1.78 to 10.65 mg L~(-1); SO_4~(2-) ranged from 0.55 to 5.01 mg L~(-1); PO_4~(3-)ranged from 0.37 to 6.22 mg L~(-1); turbidity ranged from 25.00 to 162.00 NTU; oil and grease ranged from 0.50 to 10.50 mg L~(-1); NH3-N ranged from 0.41 to 1.62 mg L~(-1); phenols ranged from 0.01 to 0.16 mg L~(-1); alkalinity ranged from 0.01 to 3.60 mgL~(-1). The concentration of Fe~(2+) and Pb~(2+) were above the set regulatory limit. Principal component analysis and cluster analysis applied to the variables gave four major components and clusters, respectively. The principal component analysis showed that the eigenvalues of the four first principal components represent up to 83.90% of the total variance (PC1 44.40%; PC2 15.70%, PC3 13.50%, PC4 10.30%) of the observations, suggesting that four principal components adequately explain the variation in the data set. Hierarchical cluster analysis grouped the variables into four clusters based on similarity of the produced water quality characteristics. The significant agreement between PCA and CA multivariate statistical techniques suggests that these methods are valuable in analyzing these variables in the produced water samples.
机译:研究了尼日利亚尼日尔三角洲两个生产油田的八个采出水样品的理化性质和微量金属,例如铜,铬,铁,铅,镍,锌,锰的浓度,以描述其排放的影响进入环境。结果表明pH范围为5.21至8.35;电导率范围为70.00至147.00μScm〜(-1),TDS为364.00至2,682.00 mg L〜(-1); Cl〜-范围为1.78至10.65 mg L〜(-1); SO_4〜(2-)范围从0.55至5.01 mg L〜(-1); PO_4〜(3-)的范围为0.37至6.22 mg L〜(-1);浊度范围为25.00至162.00 NTU;油脂范围为0.50至10.50 mg L〜(-1); NH3-N的浓度范围为0.41至1.62 mg L〜(-1);苯酚的含量范围为0.01至0.16 mg L〜(-1);碱度范围为0.01至3.60 mgL〜(-1)。 Fe〜(2+)和Pb〜(2+)的浓度高于设定的调节极限。应用到变量的主成分分析和聚类分析分别给出了四个主要成分和聚类。主成分分析表明,四个主成分的特征值最多代表观测值的总方差的83.90%(PC1 44.40%; PC2 15.70%,PC3 13.50%,PC4 10.30%),这表明四个主成分足够解释数据集的变化。层次聚类分析基于产出水水质特征的相似性将变量分为四个聚类。 PCA和CA多元统计技术之间的显着一致性表明,这些方法对于分析采出水样品中的这些变量非常有价值。

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