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A New Quantitive Predicting Model of Fracturing Fluid Flow-back: Based on Fractal Theory and Fuzzy Statistic Method

Authors :
Aiwei Zheng
Jiqing Li
Xutao You
Jun Li
Chun-Sheng Jia
Source :
Energy Procedia. 158:3696-3701
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

With the dramatically expanding of the horizontal well drilled and hydraulic fracturing technology, the exploitation of shale gas has entered a new phase. The complex fracture network will be formed during the massive hydraulic fracturing, which is difficult to be described precisely in mathematical models. Based on Fractal theory, a new mathematical description of gas and liquid flow in single stage of hydraulic fracture network is proposed and a BHFP superposition model of multistage fracture network is established to describe the fracture development and distribution information. This BHFP superposition model characterizes the reservoir heterogeneity by Fuzzy statistical method and can easily accomplish the historical matching task of production data by genetic algorithm. Our model has achieved good prediction results in the application of typical production wells in Fuling shale gas field.

Details

ISSN :
18766102
Volume :
158
Database :
OpenAIRE
Journal :
Energy Procedia
Accession number :
edsair.doi...........464fdfb75cc2836b07bdf7d6b6622f23
Full Text :
https://doi.org/10.1016/j.egypro.2019.01.889