Dynamic Productivity Prediction Method of Shale Condensate Gas Reservoir Based on Convolution Equation
نویسندگان
چکیده
The dynamic productivity prediction of shale condensate gas reservoirs is great significance to the optimization stimulation measures. Therefore, in this study, a method for based on convolution equation proposed. has been used predict production 10 multi-stage fractured horizontal wells Duvernay reservoir. results show that flow-rate deconvolution algorithms can greatly improve fitting effect Blasingame decline curve when applied analysis unstable reservoirs. Compared with commercial software HIS Harmony RTA, better affect and higher accuracy recoverable reserves prediction. actual production, error predicted by generally within 10%. This means it fast accurate method. study enriches methods important practical
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ژورنال
عنوان ژورنال: Energies
سال: 2023
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en16031479