Tetiana Cantlay, J. Eastham, J. Rutter, D. Bain, Bruce C. Dickson, P. Basu, J. Stolz
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引用次数: 12
摘要
非常规天然气的水力压裂开采需要数百万加仑的水,并且会产生不同化学成分的返排水、采出水和回收液。离子色谱法(IC)是一种成本相对较低、效率较高的测定阴离子成分的方法,然而,这些液体中阴离子含量的大范围对“天然”水的分析方法提出了挑战。我们在此报告,UV和电导率检测器的组合提高了检测灵敏度(例如,10-50 ppb),并扩大了单次样品运行中可检测的阴离子数量。本文对4口非常规页岩气井、2口蓄水井、9口常规油井、2口淡水溪流和矿井水样品进行了分析。所有采出水样和蓄水水样均具有较高的氯化物含量(17,500-103,000 mg L - 1,93,900至134,000 mg L - 1,27,700和30,700 mg L - 1),溴化物含量(179 - 996 mg L - 1,183 - 439 mg L - 1,230和260 mg L - 1)和电导率(38,500-160,000 μS/cm3, 95,300至183,000 μS/cm3, 61,500和103,000 μS/cm3),相对于矿山水和淡水溪流样品。使用Cl - /Br - to Cl -和SO42 - /Cl - to Br -的摩尔比分析揭示了样品之间的显著差异,为区分受不同污染源影响的水提供了一种简单的方法。
Determining conventional and unconventional oil and gas well brines in natural samples I: Anion analysis with ion chromatography
Abstract Unconventional natural gas extraction by hydraulic fracturing requires millions of gallons of water and generates flowback water, produced water and recycled fluids of varying chemical composition. Ion chromatography (IC) is a relatively low cost and efficient means to determine the anionic composition, however, the wide range in anionic content of these fluids poses a challenge to analytical methods developed for “natural” waters. We report here that the combination of UV and conductivity detectors increased detection sensitivity (e.g., 10–50 ppb) and expanded the number of anions detectable in a single sample run. Samples from four unconventional shale gas wells, two impoundments, nine conventional oil wells, two freshwater streams and mine drainage samples were analyzed in this study. All produced water samples and impoundment samples had high chloride (17,500–103,000 mg L−1, 93,900 to 134,000 mg L−1, 27,700 and 30,700 mg L−1), bromide (178–996 mg L−1, 183–439 mg L−1, 230 and 260 mg L−1) and conductivity (38,500–160,000 μS/cm3, 95,300 to 183,000 μS/cm3, 61,500 and 103,000 μS/cm3), respectively, relative to mine drainage and freshwater stream samples. Molar ratio analysis using Cl−/Br− to Cl− and SO42−/Cl− to Br− revealed significant differences between the samples, providing a simple means for distinguishing water impacted by different sources of contamination.