Asphaltenes: A Complex and Challenging Flow Assurance Issue To Measure and Quantify Risk

作者
Jonathan Wylde,Abhishek Punase
出处
期刊:Journal of Petroleum Technology [Society of Petroleum Engineers]
卷期号:72 (05): 45-48 被引量:11
标识
DOI:10.2118/0520-0045-jpt
摘要

Asphaltenes represent a highly polar component of crude oil, insoluble in n-alkanes and soluble in aromatic solvents. The interactions between asphaltene-water, asphaltene-clay, or asphaltene-asphaltene molecules can cause severe flow assurance issues in an oil field. Such issues could lead to pore-throat blockages within the reservoir and the plugging of production and transportation flowlines. To overcome these issues, it is necessary to first understand the overall stability and dispersancy state of the asphaltenes within the native crude. Most techniques currently used are based on light-scattering and transmittance phenomenon. Since crude oils are intrinsically dark colored, these techniques require dilution of the oil sample with solvents or precipitants. The addition of these chemicals alters the nature and thermodynamic equilibrium of the various solubility fractions within the crude oil. Moreover, the performance of asphaltene inhibitor (AI) on low-asphaltene crude oil samples is very difficult to analyze using traditional optical transmission methods. Researchers from Clariant Oil Services have recently created a more efficient method to evaluate asphaltene stability and inhibitor efficiency using native crude oil samples. This technique can overcome the limitations associated with the optical transmission method. It also presents a more realistic approach to understanding asphaltene stability since it investigates the state of asphaltene within the native crude oil medium rather than the pseudo system of oil precipitant. A Novel Technique For the first time, AI performance is being evaluated by measuring the thermoelectric properties of the native crude oil medium using asphaltene differential aggregation probe test, or ADAPT methodology. For the performance testing part of this work, asphaltene inhibitors were examined. Analyzing multiple crude oil samples with a high degree of variation provides the opportunity to foster a better understanding of asphaltene behavior in bulk crude oil samples. It enables the development of a universal testing method for assessing asphaltene stability and inhibitor performance. It is important to note that interactions between crude oil constituents and a given AI formulation are specific since each oil sample may respond differently. To corroborate this behavior using ADAPT, one of Clariant’s AI formulations (AI-1) was tested together with 10 crude oil samples as shown in Fig. 1, where blank and treated crude oil samples are represented with blue and red bars, respectively. Fig. 2 shows the ADAPT readings for the blank (blue bars) and treated (red bars) crude oil samples. The blank oil samples have a minimum reading of 2.24 units for Oil 6 as com-pared to the maximum value measured of 6.02 units for Oil 2. The addition of 500 ppm of AI-1 formulation to each of the crude oil samples increased overall asphaltene dispersancy and resulted in higher ADAPT readings.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
魔幻真完成签到,获得积分10
1秒前
侃侃发布了新的文献求助10
1秒前
凌晨洋发布了新的文献求助10
1秒前
2秒前
李部侍郎发布了新的文献求助50
2秒前
后撤步发布了新的文献求助10
2秒前
2秒前
2秒前
科目三应助年轻可愁采纳,获得10
2秒前
高高完成签到,获得积分10
3秒前
yefeng完成签到,获得积分10
3秒前
3秒前
王欣完成签到 ,获得积分10
3秒前
高雍发布了新的文献求助10
4秒前
4秒前
4秒前
雷家发布了新的文献求助10
5秒前
冷酷的诗筠完成签到,获得积分10
6秒前
wanci应助打工的牛马安采纳,获得10
6秒前
芋圆发布了新的文献求助10
6秒前
Myc完成签到,获得积分10
6秒前
不吵完成签到,获得积分10
6秒前
7秒前
8秒前
8秒前
wqxg140512发布了新的文献求助10
8秒前
9秒前
谦让的映容完成签到,获得积分10
9秒前
长系青发布了新的文献求助30
9秒前
忧心的听双完成签到,获得积分10
10秒前
10秒前
Leavome完成签到,获得积分10
10秒前
10秒前
独特语雪发布了新的文献求助10
12秒前
Jasper应助科研通管家采纳,获得10
12秒前
爆米花应助科研通管家采纳,获得10
12秒前
WZJ发布了新的文献求助200
13秒前
xixihaha发布了新的文献求助10
13秒前
JamesPei应助科研通管家采纳,获得10
13秒前
13秒前
高分求助中
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7602162
求助须知:如何正确求助?哪些是违规求助? 9178477
关于积分的说明 19655407
捐赠科研通 7177990
什么是DOI,文献DOI怎么找? 3269009
关于科研通互助平台的介绍 2433218
邀请新用户注册赠送积分活动 2262780