Multi-level fuzzy mathematics-based comprehensive evaluation model of CBM well productivity

Authors

FENG Yulong, School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454003, China
ZHOU Linyuan, College of Energy Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China
WANG Qian, School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454003, ChinaFollow
LIU Chengrui, School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454003, China

Abstract

To accurately predict the productivity of CBM wells, a multi-level fuzzy mathematics method was used to establish a comprehensive evaluation model including 3 secondary evaluation parameters(i.e. resource conditions, development conditions, and transformation processes) and 10 tertiary evaluation parameters. Combined with the data of reservoir parameters and stimulation technologies of 15 coalbed methane target blocks in China, the comprehensive evaluation work was carried out using the model. Finally, the actual production of each block was collected to verify the evaluation results, and the corresponding relationship between the evaluation results and the production was obtained. The results show that, the average daily production per well in most blocks does not exceed 600 m³/d, and the evaluation score is relatively concentrated below 0.64, which is mainly due to the poor development conditions and unreasonable reservoir stimulation. The production per well has a good correlation with the comprehensive evaluation results, and the relationship between them is power function. According to the evaluation results, when the comprehensive score exceeds 0.660 6, the average daily production per well is expected to exceed 1 000 m³. The research results shows that, on the one hand, it is necessary to strengthen reservoir evaluation and optimize favorable areas; on the other hand, optimizing suitable reservoir stimulation measures, to maximize the production capacity of coalbed methane development.

Keywords

CBM, AHP, fuzzy mathematics, comprehensive evaluation, productivity prediction

DOI

10.3969/j.issn.1001-1986.2021.02.016

Recommended Citation

FENG Yulong, ZHOU Linyuan, WANG Qian, et al. (2021) "Multi-level fuzzy mathematics-based comprehensive evaluation model of CBM well productivity," Coal Geology & Exploration: Vol. 49: Iss. 2, Article 17.
DOI: 10.3969/j.issn.1001-1986.2021.02.016
Available at: https://cge.researchcommons.org/journal/vol49/iss2/17

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