The Role of CO2 in Carbonate Acidizing at the Field Scale – A Multi-Phase Perspective

碳酸盐 饱和(图论) 石油工程 提高采收率 材料科学 比例(比率) 相(物质) 地质学 环境科学 工艺工程 工程类 化学 物理 组合数学 有机化学 冶金 量子力学 数学
作者
Harish Kumar,Sajjaat Muhemmed,Hisham A. Nasr-El-Din
标识
DOI:10.2118/206033-ms
摘要

Abstract Most lab-scale acidizing experiments are performed in core samples with 100% water saturation conditions and at pore pressures around 1100 psi. However, this is seldom the case on the field, where different saturation conditions exist with high temperature and pressure conditions. Carbon-di-Oxide (CO2), a by-product evolved during the acidizing process, is long thought to behave inertly during the acidizing process. Recent investigations reveal that the presence of CO2 dynamically changes the behavior of wormhole patterns and acid efficiency. A compositional simulation technique was adopted to understand the process thoroughly. A validated compositional numerical model capable of replicating acidizing experiments at the core-scale level, in fully aqueous environments described in published literature was utilized in this study. The numerical model was extended to a three-phase environment and applied at the field scale level to monitor and evaluate the impacts of evolved CO2 during the carbonate acidizing processes. Lessons learned from the lab-scale were tested at the field-scale scenario via a numerical model with radial coordinates. Contrary to popular belief, high pore pressures of 1,000 psi and above are not sufficient to keep all the evolved CO2 in solution. The presence of CO2 as a separate phase hinders acid efficiency. The reach or extent of the evolved CO2 is shown to exist only near the damage zone and seldom penetrates the reservoir matrix. Based on the field scale model's predictions, this study warrants conducting acidizing experiments at the laboratory level, at precisely similar pressure, temperature, and salinity conditions faced in the near-wellbore region, and urges the application of compositional modeling techniques to account for CO2 evolution, while studying and predicting matrix acidizing jobs.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
共享精神应助城南徐师傅采纳,获得10
刚刚
proton发布了新的文献求助10
刚刚
CipherSage应助自信小笼包采纳,获得10
1秒前
大模型应助matthew采纳,获得10
2秒前
眉间一把刀完成签到,获得积分10
2秒前
2秒前
maomao发布了新的文献求助10
3秒前
3秒前
科研通AI2S应助naturehome采纳,获得10
5秒前
爆米花应助好宝宝采纳,获得10
6秒前
科研通AI2S应助Victoria采纳,获得10
6秒前
盛弟发布了新的文献求助10
7秒前
Myles发布了新的文献求助10
7秒前
研友_ZGAWYL完成签到,获得积分10
7秒前
8秒前
yookia应助烂漫的冰蓝采纳,获得10
10秒前
现代的东蒽完成签到,获得积分10
10秒前
10秒前
10秒前
上官若男应助幼汁汁鬼鬼采纳,获得10
10秒前
阿秋秋秋完成签到 ,获得积分10
11秒前
在水一方应助粥粥爱糊糊采纳,获得10
11秒前
13秒前
喻紫寒发布了新的文献求助10
13秒前
杰小瑞发布了新的文献求助30
13秒前
Gengar发布了新的文献求助10
13秒前
14秒前
张晶晶发布了新的文献求助10
15秒前
16秒前
16秒前
星辰大海应助飞星流采纳,获得10
16秒前
香蕉觅云应助诺之采纳,获得10
16秒前
万能图书馆应助frl采纳,获得10
18秒前
19秒前
曾经耳机发布了新的文献求助10
19秒前
20秒前
20秒前
领导范儿应助Tethys采纳,获得10
21秒前
派大星和海绵宝宝完成签到,获得积分10
21秒前
22秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3988732
求助须知:如何正确求助?哪些是违规求助? 3531027
关于积分的说明 11252281
捐赠科研通 3269732
什么是DOI,文献DOI怎么找? 1804764
邀请新用户注册赠送积分活动 881869
科研通“疑难数据库(出版商)”最低求助积分说明 809021