Reaction model of low asphaltene heavy oil from ramped temperature oxidation experimental analyses and numerical simulations

Reaction model of low asphaltene heavy oil from ramped temperature oxidation experimental analyses and numerical simulations
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基于升温氧化实验分析和数值模拟的低沥青质重油反应模型

DOI:
10.1016/j.energy.2020.119669
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发表时间:
2021-03
期刊:
影响因子:
9
通讯作者:
Lin Shi
Lin Shi
中科院分区:
工程技术1区
文献类型:
--
作者:
Junyu Yang;Qianghui Xu;Hang Jiang;Lin Shi

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火烧油层技术是一种先进的热采技术。具有准确动力学数据的原油反应模型是预测ISC过程的关键。通过斜温氧化实验和数值模拟研究了新疆原油的反应动力学。从RTO实验中观察到低温氧化(LTO)、负温度梯度区(NTGR)反应和高温氧化(HTO)三种不同的ISC行为。研究了空气注入速率和加热速率对温度分布和废气组成的影响。实验结果表明,较高的空气喷射速率和较低的加热速率增加了热量的产生,主要来自更强烈的放热HTO反应。提出了一个包含LTO、NTGR和HTO的简化原油反应模型,并利用数值模型模拟了RTO行为。本研究还提出了一个工作流程,以建立反应方案和校准动力学数据,以获得良好的可预测性和通用性。RTO实验结果与数值模拟结果吻合较好,表明所建立的反应模型能够较好地描述新疆原油的氧化反应机理,再现新疆原油的ISC行为。
In situ combustion (ISC) is an advanced thermal recovery technique for crude oil exploitation. The crude oil reaction models with accurate kinetic data are crucial to predict the ISC process. This study investigated the China Xinjiang crude oil reaction kinetics through Ramped Temperature Oxidation (RTO) experiments and numerical simulations. Three different ISC behaviors with low-temperature oxidation (LTO), Negative Temperature Gradient Region (NTGR) reactions and high-temperature oxidation (HTO) were observed from the RTO experiments. The effects of the air injection rate and heating rate on the temperature profile and effluent gas composition were carefully investigated. Experimental results showed that the higher air injection rate and lower heating rate enhanced the heat generation, mainly from the more intensive exothermic HTO reactions. A simplified crude oil reaction model involving LTO, NTGR, and HTO was proposed and implemented with a numerical model to simulate the RTO behaviors. This study also suggested a workflow to build the reaction scheme and calibrate the kinetic data for good predictability and generalization. Acceptable consistency was achieved between the RTO experiments and numerical simulation, which demonstrates the proposed reaction model was predictive to capture the key oxidation mechanism and reproduce the ISC behaviors of the Xinjiang crude oil.
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