彭水地区龙马溪组页岩甲烷等温吸附模型对比研究

唐建信

doi:10.13809/j.cnki.cn32-1825/te.2019.04.014

非常规油气 | 浏览量 : 0 下载量: 25 CSCD: 1 CNKI被引量: 6 Scopus: 0 更多指标

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彭水地区龙马溪组页岩甲烷等温吸附模型对比研究
Comparative studies on methane isothermal adsorption models of shale of Longmaxi formation in Pengshui area
2019年第4期页码：73-78
纸质出版：2019
DOI： 10.13809/j.cnki.cn32-1825/te.2019.04.014
稿件说明：

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唐建信. 彭水地区龙马溪组页岩甲烷等温吸附模型对比研究[J]. 油气藏评价与开发, 2019,(4):73-78. DOI： 10.13809/j.cnki.cn32-1825/te.2019.04.014.

TANG Jianxin. Comparative studies on methane isothermal adsorption models of shale of Longmaxi formation in Pengshui area[J]. Petroleum Reservoir Evaluation and Development, 2019, (4): 73-78. DOI： 10.13809/j.cnki.cn32-1825/te.2019.04.014.

摘要

为了研究不同等温吸附模型对等温吸附实验的模拟效果

更好地描述页岩甲烷吸附规律

对川东南PY1井的7块岩心样品开展了等温吸附实验。结果表明

最大过剩吸附量与有机质含量呈现明显正相关

Abstract

In order to study the simulation effects of different isothermal adsorption models on isothermal adsorption experiments and better describe the adsorption rule of shale methane

isothermal adsorption experiments were carried out on seven core samples from well PY1 in southeast of Sichuan Basin. The experimental results showed that the maximum excess adsorption amount was positively correlated with the organic matter content

and the maximum correlation coefficient was 0.859 4

while it was negatively correlated with clay minerals. The experimental results were simulated by different models. The simulation results of different models were quite different. Among them

the correlation coefficient fitted by the Langmuir model was the best

while the maximum excess adsorption amount obtained by the SDR model was the largest. Followed by that was the fixed Langmuir model. Both the SDR model and the modified Langmuir model had corrected the excess adsorption amount of the experimental results

but from the correction results

the adsorption phase density obtained by the SDR model was the most reasonable. Finally

the fixed density correction Langmuir model and the SDR model were considered to describe the adsorption of methane in the shale more accurately

which could guide the calculation of the shale adsorption gas content better.

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Keywords

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