Petroleum Reservoir Evaluation and Development >
2020 , Vol. 10 >Issue 4: 63 - 69
DOI: https://doi.org/10.13809/j.cnki.cn32-1825/te.2020.04.010
Identification of main controlling factors on performance of CBM well fracturing based on Apriori association analysis
Received date: 2019-12-04
Online published: 2020-08-07
The effect of CBM wells fracturing is controlled by multiple factors including geological characteristics of coal reservoir and data of hydraulic fracturing technology, therefore, it’s important to analyze the significance of each factor and determine the main controlling factors affecting the fracturing effect of CBM wells. With reference to the fracturing data from a CBM gas field in China, Apriori association analysis is employed to track the main controlling factors, and in combination of grey correlation method, a new set of identification methods of these factors for the effect of fracturing measures has been put forward. Meanwhile, it is figured out that eight main controlling factors affecting the fracturing effects are in the order as follows: maximum operation displacement of fracturing>average sand ratio>gas saturation>gas content>total proppant volume>total fracturing fluid volume>sand carrying fluid volume>prepad fracturing volume. Based on this method, different main control factors can be adjusted preferentially with reference to the degree of correlation in fracturing design to control fracturing effect, so as to provide theoretical basis for field application.
Zhaozhong YANG , Junya XIONG , Jun LIU , Chao MIN , Xiaogang LI , Chenxi YANG . Identification of main controlling factors on performance of CBM well fracturing based on Apriori association analysis[J]. Petroleum Reservoir Evaluation and Development, 2020 , 10(4) : 63 -69 . DOI: 10.13809/j.cnki.cn32-1825/te.2020.04.010
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