Research on flow assurance of deepwater submarine natural gas pipelines: Hydrate prediction and prevention

The formation of hydrate will lead to serious flow assurance problems in deepwater submarine natural gas transmission pipelines. However, the accurate evaluation model of the hydrate blocking risk for submarine natural gas transportation is still lacking. In this work, a novel model is established for evaluating the hydrate risk in deepwater submarine gas pipelines. Based on hydrate growth-deposition mechanism, the mathematical model mainly consists of mass, momentum and energy conservation equations. Meantime, the model results are obtained by finite difference method and iterative technique. Finally, the model has been applied in the production of deepwater gas field (L Gas Field) in China, and the sensitivity analysis of relevant parameters has been carried out. The results show that: (a). The mathematical model can well predict the hydrate blockage risk in deepwater natural gas pipelines after verification. (b). Hydrate is easily formed at the intersection of horizontal pipeline and vertical riser, and the maximum blocking position often occurs in middle of the riser. (c). The hydrate blockage degree and length of hydrate formation region (HFR) decrease with the increase of gas transport rate. (d). The hydrate blockage degree and length of HFR decrease with the increase of gas transport temperature. (e). The hydrate blockage degree and length of HFR increase with the extension of horizontal pipeline. (f). Injecting inhibitors can effectively inhibit hydrate formation and blockage, but the improvement of transmission measures can significantly reduce the dosage of inhibitor. It is concluded that measures such as increasing gas transportation rate and temperature, shortening horizontal pipeline length, optimizing inhibitor injection point and injection rate can play a safe, economic and efficient role in hydrate preventing and controlling.     

Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks

A sequencing batch reactor was modeled using multi-layer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). Then, the effects of influent concentration (IC), filling time (FT), reaction time (RT), aeration intensity (AI), SRT and MLVSS concentration were examined on the effluent concentrations of TSS, TP, COD and NH₄⁺-N. The results showed that the optimal removal efficiencies would be obtained at FT of 1 h, RT of 6 h, aeration intensity of 0.88 m³/min and SRT of 30 days. In addition, COD and TSS removal efficiencies decreased and TP and NH₄⁺-N removal efficiencies did not change significantly with increases of influent concentration. The TSS, TP, COD and NH₄⁺-N removal efficiencies were 86%, 79%, 94% and 93%, respectively. The training procedures of all contaminants were highly collaborated for both RBFANN and MLPANN models. The results of training and testing data sets showed an almost perfect match between the experimental and the simulated effluent of TSS, TP, COD and NH₄⁺-N. The results indicated that with low experimental values of input data to train ANNs the MLPANN models compared to RBFANN models are more precise due to their higher coefficient of determination (R²) and lower root mean squared errors (RMSE) values.     

Development of a static test apparatus for evaluating the performance of three PM2.5 separators commonly used in China

PM_(2.5) separator directly affects the accuracy of PM_(2.5) sampling.The specification testing and evaluation for PM_(2.5) separator is particularly important,especially under China's wide variation of terrain and climate.In this study,first a static test apparatus based on polydisperse aerosol was established and calibrated to evaluate the performance of the PM_(2.5) separators.A uniform mixing chamber was developed to make particles mix completely.The aerosol concentration relative standard deviations of three test points at the same horizontal chamber position were less than 0.57%,and the particle size distribution obeyed logarithmic normal distribution with an R~2 of 0.996.The flow rate deviation between the measurement and the set point flow rate agreed to within ± 1.0% in the range of -40 to 50℃.Secondly,the separation,flow and loading characteristics of three cyclone separators(VSCC-A,SCC-A and SCC112) were evaluated using this system.The results showed that the 50% cutoff sizes(D_(50)) of the three cyclones were 2.48,2.47 and 2.44 μm when worked at the manufacturer's recommended flow rates,respectively.The geometric standard deviation(GSD) of the capture efficiency of VSCCA was 1.23,showed a slightly sharper than SCC-A(GSD = 1.27),while the SCC112 did not meet the relevant indicator(GSD = 1.2 ± 0.1) with a GSD = 1.44.The flow rate and loading test had a great effect on D_(50),while the GSD remained almost the same as before.In addition,the maintenance frequency under different air pollution conditions of the cyclones was summarized according to the loading test.     

MBBR处理低浓度污水的工程应用

用 2座体积 12 0m3的移动床生物膜反应器处理抚顺乙烯有限公司厂区的低浓度 (CODCr6 0～ 80mg L)生活污水 ,停留时间 2 4h ,出水通过高效纤维球过滤罐 ,CODCr降至 2 0mg L ,BOD5降至 5mg L ,SS降至 5mg L ,氨氮降至 1mg L ,达到了循环冷却水的回用标准。进水浓度过低 ,对MBBR挂膜不利 ,工程中采用外加营养物质的措施后 ,3d内反应器成功挂膜启动。     

乙酸型顶极群落的内平衡与反馈调节机制研究

通过产酸脱硫反应器处理高浓度硫酸盐有机废水的连续流试验，从“动态”角度考察COD／SO4^2-比改变引起的pH值、氧化还原电位（ORP）、碱度（ALK）和末端产物（VFAs）等的变动及生态因子的叠加效应引发的优势种群变迁，分析了乙酸型顶极群落的稳定性及其发生定向性生态演替的规律，进而阐明了乙酸型顶极群落抵抗环境压力的内平衡与反馈调节机制，并指出乙酸型代谢和乙酸型顶极群落是产酸脱硫生态系统的典型特征。     

平流式二次沉淀池中异重流现象研究

通过对影响异重流形成因素的研究,发现在异重流的形成过程中进水污泥浓度对密度的影响远大于温度对密度的影响,二沉池的进水通常形成下层异重流.利用水力模型进行示踪试验,结果表明在平流式二沉池中存在明显的回流区.异重流对二沉池处理效果的影响有利有弊.     

厌氧折流板反应器处理有毒废水及其污泥特性的研究

在１６．２Ｌ厌氧折流板反应器中，处理以葡萄糖为共基质的含五氯酚钠（ＰＣＰ－Ｎａ）有毒废水，进水ＣＯＤ为１１００－１２００ｍｇ／Ｌ，ＨＲＴ为１d。结果表明，ＡＢＲ 对有毒物负荷变化的适应能力强，当进水ＰＣＰ－Ｎa小于８ｍｇ／Ｌ时，出水ＣＯＤ在８０ｍｇ／Ｌ以下，ＰＣＰ－Ｎa在０．２ｍｇ／Ｌ以下，运行稳定。在有毒物低于抑制浓度 下反应器内参形成颗粒污泥，颗粒污泥表面为发酵产酸菌，内部为产甲烷菌，自身形成良好     

纳米TiO2光催化反应器研究进展

光催化氧化作为一种高级氧化技术,在环境工程治理领域得到较快的发展。主要介绍了纳米TiO2光催化反应器近年来的研究进展,对各类型反应器的优缺点进行了深入分析,并展望了催化反应器应用前景。     

单级与两级序批式反应器用于牛场污水处理的比较研究

对序批式反应器 (SBR)的特点进行了简要的介绍。研究了水力停留时间和有机负荷率对单级和两级SBR用于牛场污水处理时污染物去除率和出水水质的影响 ,并对单级和两级SBR的污水处理性能进行了比较。研究结果表明 ,当用单级SBR处理 10 0 0 0mg LCODCr的污水时 ,1d水力停留时间即可获得较好的处理效果 ,但出水中仍含有一定量的氨。两级SBR可使用较短的水力停留时间而获得较高的污染物去除率和较好的出水水质 ,并可通过硝化过程实现氨的完全的去除