Analytical determination of interwell connectivity based on interwell influence

نویسندگان

چکیده

Interwell connectivity, an important element in reservoir characterization, especially for water flooding, is used to make decisions better oil production. The existing methods literature directly use related data of wells infer interwell but they ignore the influence between different wells. connection one well more than two (as often true field pattern) will impact accuracy connectivity analysis. To address this challenge, paper proposes Particle Swarm Optimization-based CatBoost Connectivity (PSOC4IC) based on relative features analyze with combination joint mutual information maximization-based denoising sparse autoencoder inter-feature construction and extraction PSO-based (PSO-CatBoost) prediction high-dimensional noise data. experimental results show that PSOC4IC improves analysis accuracy.

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ژورنال

عنوان ژورنال: Tsinghua Science & Technology

سال: 2021

ISSN: ['1878-7606', '1007-0214']

DOI: https://doi.org/10.26599/tst.2020.9010039