Prediction of the interfacial tension between hydrocarbons and carbon dioxide

In the recent years due to increasing demand for energy and declination of reservoir production, an impressive notice on enhancement of oil recovery has been found. The gas injection especially carbon dioxide injection due to low cost and friendly environmentally of this approach the special attention to CO₂ injection increased. The miscibility is known as key factor which effects on enhancement of recovery. The miscibility is controlled by interfacial tension of hydrocarbons and carbon dioxide so the importance of investigation of the interfacial tension becomes highlighted.in this investigation by using radial basis function (RBF) artificial neural network (ANN) as a novel approach the interfacial tension of hydrocarbons and carbon dioxide in terms of pressure, temperature, liquid and gas densities and molecular weight of alkane. The graphical and statistical results illustrated the fact that RBF-ANN algorithm is applicable for estimation of interfacial tension between hydrocarbons and carbon dioxide with great accuracy.     

A lysine amino acid-based surfactant: Application in enhanced oil recovery

Surfactants can play major role in increasing oil recovery factor through interfacial tension reduction. In the present study, a new synthetic method was used to prepare (S)-2-amino-6-dodecanamidohexanoic acid, an amino acid–based surfactant then it was applied as an oil recovery agent for the first time. The structure of this surfactant was studied using FTIR and ¹H NMR spectroscopy. The critical micelle concentration was found to be value is 0.4–0.5 wt% using surfactant solution conductivity, pH, and IFT methods. A 56.50% reduction of IFT was recorded using this environmentally friendly surfactant.     

脂肽生物表面活性剂在微生物采油中的应用

对从大庆油田分离到的一株枯草芽孢杆菌(Bacillus subtilis)ZW-3代谢的脂肽生物表面活性剂的理化性质(CMC值、乳化活性、对温度、矿化度的稳定性、降低油水界面张力能力)进行了测定,同时进行了物理模拟实验。研究结果表明,该脂肽表面活性剂具有优良的乳化和降低油水界面张力的能力,并可以适应油藏中复杂的环境,可提高采收率9.2%。在微生物采油中具有较好的应用前景。     

Applying Grid partitioning based Fuzzy inference system method to estimate interfacial tension of brine and hydrocarbon

The oil recovery reservoirs and oil trapping in the reservoirs are extensively function of interfacial tension between brine and hydrocarbon, so estimation of interfacial tension becomes one of the interesting topics in petroleum industry. In this study, Grid partitioning based Fuzzy inference system method is utilized to forecast interfacial tension of hydrocarbon and brine based on various effective parameters such as ionic strength of brine, carbon number of hydrocarbon, pressure, and temperature. The estimated values of interfacial tension were compared with real interfacial tension of brine and hydrocarbon using graphical and statistical analyses. The determined coefficients of determination (R²) for training and testing phases were 0.9916 and 0.9447, respectively. The comparing analyses express that the Grid partitioning based Fuzzy inference system method has great ability in prediction of interfacial tension, and it can be used as an applicable tool in petroleum industry.     

Application of Grid partitioning based Fuzzy inference system method as a novel approach for prediction of interfacial tension of hydrocarbon and carbon dioxide

Nowadays the importance of enhanced oil recovery (EOR) processes increases because of increasing demand of energy and declination of oil reservoirs. Due to this fact the researchers attracted to study performance of EOR methods. one of the high efficient methods is carbon dioxide injection which is favorable because of low cost and environmental friendly viewpoints. One of important parameters which have straight effect on recovery of injection is interfacial tension between carbon dioxide and hydrocarbons. In the present investigation the main objective is proposing the Grid partitioning based Fuzzy inference system method as novel approach to predict interfacial tension of carbon dioxide and hydrocarbon in terms of temperature, pressure, liquid and gas densities and molecular weight of alkane. The coefficients of determination for different datasets of training and testing of estimating algorithm are determined as 0.9919 and 0.9899. This results express the algorithm has potential of estimating interfacial tension of hydrocarbons and carbon dioxide.     

渤海某油田驱油用超低界面张力表面活性剂研究北大核心CSCD

目的为改善渤海X油田注水开发效果,对该油田进行了驱油用超低界面张力表面活性剂研究。方法在分析油田原油饱和分和芳香分碳原子数分布基础上,结合“相似相溶”原理和疏水端空间位置互补效应,对表面活性剂进行优选和复配。结果从5种表面活性剂中优选出了十六烷基二甲基甜菜碱和烷基糖苷APG1214两种表面活性剂,二者按最佳质量比1∶2复配后可获得超低界面张力表面活性剂。该表面活性剂在岩心中滞留损失率小,仅为11.2%;在质量分数为0.1%~0.3%时,原油的乳化和破乳率均高于90%;当质量分数为0.20%时,可在水驱基础上提高原油采收率9.4%。结论复配表面活性剂降水增油效果明显,可用于实现油田水驱后“挖潜提采”的目的。     

The ANFIS-PSO strategy as a novel method to predict interfacial tension of hydrocarbons and brine

The interfacial tension of hydrocarbons and brine is known as one of the important parameters which are measured in petroleum and petrochemical industries for example the interfacial tension has straight effect on trapping of oil in a reservoir. In the present work the Adaptive neuro-fuzzy inference system (ANFIS) algorithm was used as a novel approach for estimation of interfacial tension between hydrocarbons and brine as function of pressure, temperature, carbon number of hydrocarbon and ionic strength of brine then the particle swarm optimization (PSO) was used to optimize the predicting model parameters.in order to better evaluation of performance of predicting algorithm the coefficient of determination (R²), average absolute relative deviation (AARD) and root mean squared error (RMSE) were estimated for different steps. The outcomes of this investigation expressed that proposed model has high potential for prediction of interfacial tension between hydrocarbons and brine.     

Modeling of CO2 absorbtion by amino acid salts blended with amine solutions

In this work, the goal is modeling of carbon dioxide loading capacities by exploiting artificial neural network model in two applicable amino acid salt solutions blended with amine solutions as an additive in wide ranges of temperature and pressure. In this regard a group of 740 experimental data points for CO₂ loading capacity has been collected from recent literature work. Results of a developed network show the good capability to predict CO₂ loading capacity in solutions with Average Relative Deviation equal to 3.8608, Mean Square Error value of 0.0045 and correlation coefficient equal to 0.9976.     

钙镁离子影响原油与ASP驱配方产生超低界面张力的机理

钙镁离子能使ＡＳＰ复合驱配方与原油产生的超低界面张力大幅度升高,主要是因为体系中生成了ＣａＲ２、ＭｇＲ２分子。但当ＣａＲ２、ＭｇＲ２转变成ＣａＣＯ３、Ｍｇ（ＯＨ）２沉淀后,ＡＳＰ配方体系与原油间界面张力仍能降至超低     

纳米二氧化硅在三次采油中的应用研究

采用溶胶-凝胶法制备了纳米二氧化硅,对其进行了有机改性。将纳米二氧化硅、改性纳米二氧化硅分别与油田驱油中广泛应用的石油磺酸盐组成复合体系,采用TX-500界面张力仪测定了该复合体系降低油水界面张力的能力。研究结果表明:表面活性剂总浓度为1%时,石油磺酸盐、纳米二氧化硅-石油磺酸盐复合体系能使油水界面张力降低至0.01mN/m左右,改性纳米二氧化硅-石油磺酸盐复合体系能使油水界面张力降低至3.37×10^-3mN/m左右。改性纳米二氧化硅加入石油磺酸盐显著地降低了油水界面张力,从而提高了原油的采收率。     

大庆原油中活性物质对界面张力的影响

通过预接触时间、红外谱图分析等手段研究了原油中活性物质对复合体系界面张力的影响.结果表明,随着预接触时间的增加,原油与复合体系的界面张力最低值逐渐上升,最终与平衡值相同;而直馏煤油与复合体系的界面张力最低值和平衡值几乎相等,且不受接触时问影响;原油中的活性物质由油水界面向水相扩散并最终达到平衡,并且界面张力在达到最低值前后均与t-1/2(t为实验时间)成线性关系,符合扩散规律;对油相和水相进行红外谱图和质谱分析后发现,在与碱接触后,油相的活性物质减少,水相中活性物质增加,验证了原油中的活性物质对降低界面张力起到重要作用.     

Applying Fuzzy c-means approach as a novel method for prediction of interfacial tension between carbon dioxide and hydrocarbons

The worldwide demand for energy increases and also the price of crude oil increases so these reasons have been caused the searchers have motivated to investigate enhanced of oil recovery (EOR) processes. The carbon dioxide injection is recognized as one of the favorable approaches of EOR because of high displacement efficiency, environmentally aspects and lower cost. The Interfacial tension between crude oil and carbon dioxide is known as one of the critical factors which affect the performance of injection. The main objective of the present investigation is development of Fuzzy c-means (FCM) approach as novel method to estimate interfacial tension between carbon dioxide and hydrocarbons as function of pressure, temperature, liquid and gas densities and molecular weight of alkane. The performance of predicting model was evaluated statistically and graphically and the results confirmed the ability of the model to predict interfacial tension between carbon dioxide and hydrocarbons.     

Evaluation of interfacial tension between ASP solution and crude oil from B oil field

The interfacial tension (IFT) between alkali-surfactant-polymer (ASP) solution and crude oil is an important parameter for evaluating the feasibility of the ASP flooding for an oil field. The IFT between six series of ASP solution and crude oil from B oil field were measured at 65°C. Each series of ASP solution was composed of NaOH or Na₂CO₃, one of the three kinds of surfactants (S1, S2, and S3), and polymer FT60. The concentration of FT60 and surfactant were 1500 and 2000 mg/L, respectively. The research results show that the IFT between ASP solution and crude oil is ultra-low in the NaOH-FT60-S2 series and NaOH-FT60-S3 series and the best concentration of NaOH is 4000 mg/L and 8000 mg/L, respectively. NaOH-FT60-S2 series is more suitable for B oil field. The IFT between ASP solution and crude oil is ultra-low in the Na₂CO₃-FT60-S2 series and the best concentration of Na₂CO₃ is 4000 mg/L.     

The influence of oil property on interfacial tension

Abstract

This paper researches the oil property from three different districts in Daqing Oilfield. And then the sulfur contents in crude oil and emulsified oil is tested to explore the dissolution of surfactant into oil phase. Furthermore, the influence of oil property on the interfacial tension and oil displacement effect are studied. Results indicates that, according to the theory that similarities can be solvable easily in each other, the surfactant is likely to enter the crude oil with more heavy components. And thus few of them adsorb at the oil-water interface and the activity reduces. As a result, the interfacial tension increases, which causes the oil displacement effect to become worse.     

The effects of interfacial tension,injection rate,and permeability on oil recovery in dilute surfactant flooding

Surfactant flooding as a potential enhanced oil recovery technology in depleted reservoirs after water flooding has been documented for several decades and has attracted extensive attention. This research explored the effect of interfacial tension among crude oil and surfactant, injection rate, and permeability on oil recovery in dilute surfactant flooding. The results indicated that the additional oil recovery increased with the reduction of the interfacial tension and the increase of the permeability. The additional oil recovery increased and later decreased with the increase of injection rate. The research is instructive for surfactant flooding application for enhanced oil recovery.     

阴离子双子表面活性剂的油水界面张力

测定了阴离子双子表面活性剂8-4-8和12-4-12与不同油相间的界面张力,考察了不同油相和矿化度变化对油水界面张力的影响。结果表明,阴离子双子表面活性剂与不同油相的油水界面张力达到平衡的时间都比较短,界面张力稳定性较好;8-4-8在煤油的油水界面活性最好,而12-4-12在稀油的油水界面活性比混合油的好。矿化度增加(0~180 g/L)能有效降低阴离子双子表面活性剂的油水界面张力,说明阴离子双子表面活性剂8-4-8和12-4-12具有较好的耐盐性。     

陈庄原油超低界面张力驱油体系研究

开展了单一表面活性剂体系、表面活性剂复配体系及碱+表面活性剂体系与陈庄原油间动态界面张力的测定实验。实验结果表明:CBET-13在较宽的质量分数范围内(0.05%～0.15%)可以使油水界面张力达到超低;质量比为4∶1的SLPS与KAS复配体系,当总质量分数在0.075%～0.15%的范围内可以使油水界面张力平衡值降至10-4 mN/m数量级;总有效质量分数为0.1%、质量比在(9∶1)～(6∶4)范围内的CBET-13与CBET-17复配体系使油水界面张力降到超低;0.2%NaOH+((0.05%～0.2%)SLPS、(0.025%～0.05%)AS-0-4、(0.01%～0.075%)AS-3-0、(0.03%～0.09%)HSBET-12)体系可以使油水界面张力降至10-3 mN/m以下。以上体系,可以作为陈庄油田超低界面张力驱油配方的选择。     

原油组分对化学驱表面活性剂界面张力的影响

为提高化学驱油技术的使用效率,有效掌握表面活性剂的界面张力变化因素,开展了原油组分对表面活性剂界面张力的影响研究。应用原油分离提纯技术、GC-MS、红外光谱和核磁共振分析方法,从原油中分离出石油酸,分析其组分间的相互关系,总结界面张力变化规律。实验结果表明,原油组分中石油酸是影响界面张力的主要成分,其中异构脂肪酸是降低界面张力的重要贡献者。     

界面张力及乳化效果对提高采收率的贡献

以中国石油冀东油田原油为研究对象,筛选并评价了具有不同界面张力及乳化效果的4组驱油体系,研究了界面张力与乳化效果对提高原油采收率的贡献。实验结果表明,油水界面张力与原油乳化效果之间没有明显的一致性,当以0.1%(w)的Na_2CO_3或0.5%(w)Na_2CO_3+0.3%(w)JS-33复配体系为驱油剂时,界面张力均可达到超低,但乳化效果较差,析水率分别高达91.7%和83.3%,而原油采收率提高值只有8.9%和12.4%;当以0.5%(w)的Na_2CO_3或0.5%(w)Na_2CO_3+0.5%(w)JS-33复配体系为驱油剂时,界面张力分别为10~(-2)和10~(-3)数量级,乳化效果较好,析水率分别为1.7%和0,原油采收率提高值达27.5%和24.4%。乳化效果好的驱油体系原油采收率提高值要高于超低界面张力体系,乳化效果相比界面张力而言对提高采收率的贡献占主要部分。