A Research on New Method of Transportation Technics for Heavy Oil and Practice in Oil Field

介绍一种可应用于高粘度稠油管输的新工艺。即用自行研制的蒸汽引射器采用无界引射方式,将蒸汽直接注入到输油管道中,利用蒸汽释放的热量提高稠油温度降低粘度,从而达到降低稠油输送压降的目的,它比间接加热输送工艺所用的蒸汽量或耗煤量大大减少。方法在辽河油田输油管线上进行了工业现场试验,取得了很好的效果。

Automatic Classification of Three-Phase Flow Patterns of Heavy Oil in a Horizontal Pipe Using Support Vector Machines

The pipe flow of a viscous-oil-gas-water mixture such as that involved in heavy oil production is a rather complex thereto-fluid dynamical problem. Considering the complexity of three-phase flow, it is of fundamental importance the introduction of a flow pattern classification tool to obtain useful information about the flow structure. Flow patterns are important because they indicate the degree of mixing during flow and the spatial distribution of phases. In particular, the pressure drop and temperature evolution along the pipe is highly dependent on the spatial configuration of the phases. In this work we investigate the three-phase water-assisted flow patterns, i.e. those configurations where water is injected in order to reduce friction caused by the viscous oil. Phase flow rates and pressure drop data from previous laboratory experiments in a horizontal pipe are used for flow pattern identification by means of the 'support vector machine' technique (SVM).

H-1 low- and high-field NMR study of the effects of plasma treatment on the oil and water fractions in crude heavy oil

The chemical and physical properties of a Brazilian heavy oil submitted to plasma treatment were investigated by H-1 low-and high-field nuclear magnetic resonance (NMR) combined to the characterization of rheological properties, thermogravimetry and measurement of basic sediments and water (BSW) content. The crude oil was treated in a dielectric barrier discharge plasma reactor, using natural gas, CO2 or H-2 as working gas. The results indicated a large drop in the water content of the plasma-treated samples as compared to the crude oil, giving rise to a reduction in the viscosity. No significant chemical change was produced in the oil portion itself, as observed by H-1 NMR. The water contents determined by H-1 low-field NMR analyses agreed well with those obtained by BSW, indicating the low-field NMR methods as a useful tool for following the effects of plasma treatments on heavy oils, allowing the separation of the effects caused on the water and oil fractions. (C) 2011 Elsevier Ltd. All rights reserved.

Water-assisted Flow of Heavy Oil in a Vertical Pipe: Pilot-scale Experiments

The use of the core-annular flow pattern, where a thin fluid surrounds a very viscous one, has been suggested as an attractive artificial-lift method for heavy oils in the current Brazilian ultra-deepwater production scenario. This paper reports the pressure drop measurements and the core-annular flow observed in a 2 7/8-inch and 300 meter deep pilot-scale well conveying a mixture of heavy crude oil (2000 mPa.s and 950 kg/m3 at 35 C) and water at several combinations of the individual flow rates. The two-phase pressure drop data are compared with those of single-phase oil flow to assess the gains due to water injection. Another issue is the handling of the core-annular flow once it has been established. High-frequency pressure-gradient signals were collected and a treatment based on the Gabor transform together with neural networks is proposed as a promising solution for monitoring and control. The preliminary results are encouraging. The pilot-scale tests, including long-term experiments, were conducted in order to investigate the applicability of using water to transport heavy oils in actual wells. It represents an important step towards the full scale application of the proposed artificial-lift technology. The registered improvements in terms of oil production rate and pressure drop reductions are remarkable.

NMR in the characterization of heavy residual procedural streams

The main objective of this work was to monitor a set of physical-chemical properties of heavy oil procedural streams through nuclear magnetic resonance spectroscopy, in order to propose an analysis procedure and online data processing for process control. Different statistical methods which allow to relate the results obtained by nuclear magnetic resonance spectroscopy with the results obtained by the conventional standard methods during the characterization of the different streams, have been implemented in order to develop models for predicting these same properties. The real-time knowledge of these physical-chemical properties of petroleum fractions is very important for enhancing refinery operations, ensuring technically, economically and environmentally proper refinery operations. The first part of this work involved the determination of many physical-chemical properties, at Matosinhos refinery, by following some standard methods important to evaluate and characterize light vacuum gas oil, heavy vacuum gas oil and fuel oil fractions. Kinematic viscosity, density, sulfur content, flash point, carbon residue, P-value and atmospheric and vacuum distillations were the properties analysed. Besides the analysis by using the standard methods, the same samples were analysed by nuclear magnetic resonance spectroscopy. The second part of this work was related to the application of multivariate statistical methods, which correlate the physical-chemical properties with the quantitative information acquired by nuclear magnetic resonance spectroscopy. Several methods were applied, including principal component analysis, principal component regression, partial least squares and artificial neural networks. Principal component analysis was used to reduce the number of predictive variables and to transform them into new variables, the principal components. These principal components were used as inputs of the principal component regression and artificial neural networks models. For the partial least squares model, the original data was used as input. Taking into account the performance of the develop models, by analysing selected statistical performance indexes, it was possible to conclude that principal component regression lead to worse performances. When applying the partial least squares and artificial neural networks models better results were achieved. However, it was with the artificial neural networks model that better predictions were obtained for almost of the properties analysed. With reference to the results obtained, it was possible to conclude that nuclear magnetic resonance spectroscopy combined with multivariate statistical methods can be used to predict physical-chemical properties of petroleum fractions. It has been shown that this technique can be considered a potential alternative to the conventional standard methods having obtained very promising results.

Oil viscosity from experiments and model calculations

Five frequently-used models were chosen and evaluated to calculate the viscosity of the mixed oil. Totally twenty mixed oil samples were prepared with different ratios of light to crude oil from different oil wells but the same oil field. The viscosities of the mixtures under the same shear rates of 10 s**-1 were measured using a rotation viscometer at the temperatures ranging from 30°C to 120°C. After comparing all of the experimental data with the corresponding model values, the best one of the five models for this oil field was determined. Using the experimental data, one model with a better accuracy than the existing models was developed to calculate the viscosity of mixed oils. Another model was derived to predict the viscosity of mixed oils at different temperatures and different values of mixing ratio of light to heavy oil.

蒸汽引射稠油输送新技术

摘要：管线输送是稠油输运的一种主要手段。由于我国一些油田原油粘度高，常温下流动性差，管输需采用特殊工艺。根据粘度随温度沿指数下降的规律，与其它工艺比较，加热输送工艺有更大的潜力。该文提出了一种蒸汽引射直接加热稠油输送的新技术。为研究其有效性，进行了性能分析，并在辽河油田φ80mm，300m输油管线上进行了现场实验，测量了三种工况下该方法对稠油的温度、压降和含水串的影响。实验结果表明该文提出的方法是可行的。

用于稠油输送的新蒸汽引射器

介绍一种自行研制的蒸汽引射器，蒸汽以自由射流形式注入到输油管中，利用蒸汽释放的热量提高稠油温度以降低黏度，从而达到低输送压降的目的。该引器具有加热效率高，防止稠油堵塞管线等优点，引射器已在辽河油田输油管线上进行了现场实验，取得了很好的效果。

稠油输送新工艺方法探索及现场试验

本文介绍一种可应用于高粘度稠油管输的新工艺。即用自行研制的蒸汽引射器采用无界引射方式，将蒸汽直接注入到输油管道中，利用蒸汽释放的热量提高稠油温度降低粘度，从而达到降低稠油输送压降的目的，它比间接加热输送工艺所用的蒸汽量或耗煤量大大减少。本方法在辽河油田输油管线上进行了工业现场试验，取得了很好的效果。

Design of a Self-Adaptive Down-Hole Layered Steam Injector and Its Application

Layered steam injection, widely used in Liaohe Oilfield at Present, is an effective recovery technique to heavy oil reserves. Which makes the steam front-peak push forward uniformly, the amount of steam injection be assigned rationally, and the effect of injection steam be obtained as expected. To maintain a fixed ratio of layered steam injection and solve the problem of nonadjustable hole diameter with the change of layer pressure in the existing injectors, a new method is proposed in this paper to design layered steam injectors based on the dynamic balance theory. According to gas-liquid two-phase flow theory and beat transfer theory, the energy equation and the heat conduction equation in boreholes are developed. By analyzing the energy equilibrium of water-steam passing through the injector hole, we find an expression to describe the relation between the cross-sectional area of injector hole and the layer pressure. With this expression, we provide a new set of calculation methods and write the corresponding computer program to design and calculate the main parameters of a steam injector. The actual measurement data show that the theoretically calculated results are accurate, the software runs reliably, and they provide the design of self-adjustable layered steam injectors with the theoretical foundation.

Design of a Self-Adaptive Down-Hole Layered Steam Injector and Its Application

Layered steam injection, widely used in Liaohe Oilfield at present, is an effective recovery technique to heavy oil reserves. Which makes the steam front-peak push forward uniformly, the amount of steam injection be assigned rationally, and the effect of injection steam be obtained as expected. To maintain a fixed ratio of layered steam injection and solve the problem of nonadjustable hole diameter with the change of layer pressure in the existing injectors, a new method is proposed in this paper to design layered steam injectors based on the dynamic balance theory According to gas-liquid two-phase flow theory and heat transfer theory, the energy equation and the heat conduction equation in boreholes are developed. By analyzing the energy equilibrium of water-steam passing through the injector hole, we find an expression to describe the relation between the cross-sectional area of injector hole and the layer pressure. With this expression, we provide a new set of calculation methods and write the corresponding computer program to design and calculate the main parameters of a steam injector. The actual measurement data show that the theoretically calculated results are accurate, the software runs reliably, and they provide the design of self-adjustable layered steam injectors with the theoretical foundation.

Estudo termodinâmico da precipitação de parafinas em petróleos brasileiros

Um dos grandes desafios enfrentados pela indústria do petróleo é reduzir o impacto causado pela cristalização indesejável de hidrocarbonetos parafínicos de elevada massa molar em tubulações e equipamentos de produção. A cristalização de parafinas em petróleo é normalmente detectada através da determinação da temperatura inicial de aparecimento de cristais (TIAC), que pode ser estimada através de modelagem termodinâmica com base na composição do petróleo. Os objetivos deste trabalho são: estudar os principais modelos termodinâmicos adotados para descrever a precipitação de parafinas; verificar a validade desses modelos para os petróleos brasileiros e determinar qual modelo é o mais adequado para esses óleos. Para tanto, três formas de cálculo da razão entre as fugacidades das fases sólida e líquida e cinco modelos para calcular os coeficientes de atividade dos componentes em cada fase são aplicados aos dados de composição de vinte e três petróleos brasileiros. Os resultados mostram que o modelo ideal de múltiplas fases sólidas e o modelo de Escobar-Remolina geram valores bastante abaixo da TIAC experimental. Para os modelos de única fase sólida ideal, de Won e de Coutinho, foi possível observar que: a) a grande maioria dos erros é negativa; b) que estes se distribuem melhor em torno de zero quando se utiliza a correlação de Coutinho para o cálculo dos valores de i; c) os valores de erro médio para os modelos de Coutinho, de Won e ideal com única fase sólida se equivalem, qualquer que seja o modelo utilizado para o cálculo de i, exceto para o caso em que todos os compostos presentes na fase líquida podem precipitar; d) os valores obtidos através do modelo de Coutinho apresentam erro sistemático em relação ao modelo ideal de única fase sólida; e) as diferentes formas de se calcular a razão entre as fugacidades da fase sólida e líquida (i) influenciam fortemente a capacidade preditiva dos modelos, o que não era esperado; f) o perfil do primeiro cristal formado nos petróleos é influenciado pelas moléculas mais pesadas presentes nos resíduos, o que mostra a necessidade de se desenvolver metodologias precisas e robustas de caracterização de resíduos; g) a inclusão de uma estimativa para a composição dos resíduos efetivamente melhorou o desempenho dos modelos em petróleos médio; h) em petróleos pesados, houve um aumento do erro de previsão da TIAC devido à pouca ou nenhuma quantidade de parafinas nos resíduos desses óleos. A necessidade de uma melhor caracterização dos resíduos de petróleos é corroborada pelo fato da TIAC calculada pelos modelos ser, via de regra, mais baixa que a TIAC experimental e pela melhora no desempenho dos modelos quando se estimou a composição dos resíduos, em petróleos médios

稠油污染土壤高级氧化-生物耦合修复研究

稠油中的胶质和沥青质是导致稠油污染土壤难以彻底降解的关键要素，而目前传统的生物修复方法很难满足其处理要求。针对这一难题，本文研究了高级氧化-生物耦合修复方法处理稠油污染土壤，达到了使稠油中胶质和沥青质高效去除的目的。 本文采用蛭石模拟土壤，研究稠油污染土壤的高级氧化（臭氧、芬顿）-生物耦合处理方法。分析了氧化时间、水土比、污染土壤陈化时间和污染浓度对臭氧氧化效率的影响，以及H2O2加入量和H2O2/Fe2+摩尔比对芬顿预处理效率的影响；同时优化了高级氧化与微生物混合菌之间的耦合条件；并根据稠油成分的变化，探讨了稠油降解机制。 实验结果表明，模拟稠油污染土壤的最佳臭氧-生物耦合条件为：臭氧氧化30min，生物段采用混合菌1降解14d，此时，土壤中总石油烃、饱和烃、芳烃、胶质和沥青质的降解率分别为60.78%、65.59%、82.74%、26.61％；芬顿-生物耦合处理的最佳条件为：H2O2 加入量为27ml，H2O2与Fe2+的摩尔比为10：1，此时，模拟土壤中稠油总石油烃、饱和烃、芳烃、胶质和沥青质的降解率分别为35.41%，9.33%，49.82%，45.19%。 高级氧化预处理不仅能够减小生物段负荷，而且能够提高胶质和沥青质的生物可利用性，微生物可将胶质和沥青质降解为饱和烃、芳烃或其他物质，降解效率取决于预处理的程度。高级氧化-生物耦合处理降解效率高于单独采用氧化预处理、生物处理效率，因而高级氧化-生物耦合修复方法是一种可行的稠油污染土壤修复方法。