基于摩尔密度的原油-CO2体系膨胀能力预测方法

doi:10.7623/syxb201804009

石油学报 ›› 2018, Vol. 39 ›› Issue (4): 456-462.DOI: 10.7623/syxb201804009

基于摩尔密度的原油-CO₂体系膨胀能力预测方法

韩海水^1,2, 李实^1,2, 姚小琪³, 陈兴隆^1,2, 张可^1,2, 秦积舜^1,2

1. 提高石油采收率国家重点实验室中国石油勘探开发研究院北京 100083;
2. 国家能源二氧化碳驱油与埋存技术研发(实验)中心北京 100083;
3. 中国石油长庆油田公司第一采气厂陕西靖边 718500

收稿日期:2017-04-26 修回日期:2017-10-16 出版日期:2018-04-25 发布日期:2018-05-03
通讯作者: 韩海水,男,1985年4月生,2009年获长江大学石油工程专业学士学位,2015年获中国石油勘探开发研究院油气田开发专业博士学位,现为中国石油勘探开发研究院采收率研究所工程师,主要从事CO₂驱提高石油采收率理论与技术研究。Email:hanhaishui@petrochina.com.cn
作者简介:韩海水,男,1985年4月生,2009年获长江大学石油工程专业学士学位,2015年获中国石油勘探开发研究院油气田开发专业博士学位,现为中国石油勘探开发研究院采收率研究所工程师,主要从事CO₂驱提高石油采收率理论与技术研究。Email:hanhaishui@petrochina.com.cn
基金资助:
中国石油天然气股份有限公司重大科技专项（2014E-3601）、中国石油天然气股份有限公司油气田开发重大科技项目（2016A-1002）和国家重点研发计划项目"CO₂驱油技术及地质封存安全监测"资助。

Swelling ability prediction method of crude oil-CO₂ system based on molar density

Han Haishui^1,2, Li Shi^1,2, Yao Xiaoqi³, Chen Xinglong^1,2, Zhang Ke^1,2, Qin Jishun^1,2

1. State Key Laboratory of Enhanced Oil Recovery;PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China;
2. National Energy CO₂ Flooding and Storage Technology R & D(Experiment) Center, Beijing 100083, China;
3. No.1 Gas Production Plant, PetroChina Changqing Oilfield Company, Shaanxi Jingbian 718500, China

Received:2017-04-26 Revised:2017-10-16 Online:2018-04-25 Published:2018-05-03

摘要/Abstract

摘要：

通过对中国不同油区原油进行组分组成分析，选取了11种具有代表性的烃组分，分别与CO₂组成二元体系（共44个）进行恒质膨胀实验。所选取的原油烃组分包含碳原子数为6~16的直链烷烃、单环/双环环烷烃和单环/双环芳烃。对比分析实验结果发现，原油烃组分中溶解的CO₂可使体系发生一定程度的体积膨胀，且其膨胀幅度受原油组分自身性质影响较大，进一步提出用烃组分摩尔密度概念加以表征，膨胀系数与对应条件下原油组分的摩尔密度为递增直线关系，并建立了基于烃组分摩尔密度的CO₂-烃组分体系体积膨胀系数的预测方法。通过借鉴长庆油田D井和X井原油的加CO₂膨胀实验数据，验证了预测方法同样适用于对原油-CO₂体系膨胀的计算。结果表明，CO₂对原油的膨胀作用主要源于原油中烃组分的贡献，而非烃组分贡献较小。

关键词: 原油烃组分, 二氧化碳, 体积膨胀, 摩尔密度, 预测方法

Abstract:

Through analyzing the composition of crude oil in different oil province of China, eleven representative hydrocarbon components in combination with CO₂ were selected to form binary systems(44 in total) and applied for constant component expansion experiment. The selected hydrocarbon components of crude oil contained the straight-chain paraffin, monocyclic/bicyclic cycloalkane and monocyclic/bicyclic arene with carbon numbers from six to sixteen. Through comparative analysis of experiment results, the dissolved CO₂ in the hydrocarbon component of crude oil is able to cause the volume swelling of these systems to some extent. Meanwhile, the swelling degree is largely influenced by the property of crude oil components, so this study proposes it should be characterized using the concept of hydrocarbon-component molar density. The swelling coefficient has a seriously increasing linear relationship with the molar density of crude oil components. A method based on hydrocarbon-component molar density was carried out for predicting volume swelling coefficient of CO₂-hydrocarbon component system. By referring to the swelling experimental data of crude oil with CO₂ in Wells D and X of Changqing oilfield, the result shows that the prediction method can also be applicable to calculate the swelling coefficient of crude oil-CO₂ system, and the crude oil swelling mainly results from the contributions of hydrocarbon components in crude oil, but not non-hydrocarbon components.

Key words: crude oil hydrocarbon component, carbon dioxide, volume swelling, molar density, prediction method

中图分类号:

TE357.45

韩海水, 李实, 姚小琪, 陈兴隆, 张可, 秦积舜. 基于摩尔密度的原油-CO₂体系膨胀能力预测方法[J]. 石油学报, 2018, 39(4): 456-462.

Han Haishui, Li Shi, Yao Xiaoqi, Chen Xinglong, Zhang Ke, Qin Jishun. Swelling ability prediction method of crude oil-CO₂ system based on molar density[J]. Acta Petrolei Sinica, 2018, 39(4): 456-462.

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基于摩尔密度的原油-CO₂体系膨胀能力预测方法

Swelling ability prediction method of crude oil-CO₂ system based on molar density

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