YANG Zhaozhong, XIONG Junya, LIU Jun, et al. 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.
YANG Zhaozhong, XIONG Junya, LIU Jun, et al. 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.
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 fracturingaverage sand ratiogas saturationgas contenttotal proppant volumetotal fracturing fluid volumesand carrying fluid volumeprepad 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.