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Integration of the Production Logging Tool and Production Data for Post-Fracturing Evaluation by the Ensemble Smoother

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  • Seungpil Jung

    (E&P Business Division, SK Innovation, Seoul 03188, Korea)

Abstract

A post-fracturing evaluation is essential to optimize a fracturing design for a multi-stage fractured well located in unconventional reservoirs. To accomplish this task, a production logging tool (PLT) can be utilized to provide the oil production rate of each fracturing stage. In this research, a practical method is proposed to integrate PLT and surface production data into a reservoir model. It applies the ensemble smoother for history-matching to integrate various kinds of dynamic data. To investigate the validity of the proposed method, three cases are designed according to the frequency of PLT surveys. Each fracture half-length calibrated by PLT data is similar to the true value, and the dynamic behavior also has the same trend as true production behavior. Integration with PLT data can reduce error ratios for fracture half-length down to 48%. In addition, it presents the applicability of reserve prediction and uncertainty assessment. It has been proven that the more frequently PLTs are surveyed, the more accurate the results. By sensitivity analysis of PLT frequency—a cost-effective strategy—a combination of only one PLT survey and continuous surface production data is employed to demonstrate this proposed concept.

Suggested Citation

  • Seungpil Jung, 2017. "Integration of the Production Logging Tool and Production Data for Post-Fracturing Evaluation by the Ensemble Smoother," Energies, MDPI, vol. 10(7), pages 1-12, June.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:859-:d:102817
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    References listed on IDEAS

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    1. John Baffes & M. Ayhan Kose & Franziska Ohnsorge & Marc Stocker, 2015. "The Great Plunge in Oil Prices: Causes, Consequences, and Policy Responses," Policy Research Notes (PRNs) 94725, The World Bank.
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    Cited by:

    1. Seungpil Jung & Kyungbook Lee & Changhyup Park & Jonggeun Choe, 2018. "Ensemble-Based Data Assimilation in Reservoir Characterization: A Review," Energies, MDPI, vol. 11(2), pages 1-23, February.
    2. Artun Sel & Bilgehan Sel & Cosku Kasnakoglu, 2021. "GLSDC Based Parameter Estimation Algorithm for a PMSM Model," Energies, MDPI, vol. 14(3), pages 1-12, January.

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