Archives - Page 2

  • April
    Vol. 8 No. 1 (2023)

    Cover image by Xin Nie on pages 5-18. The image illustrates the application of deep learning methods in digital rock technology. With the known digital rock image data as the input, deep learning methods such as convolutional neural networks can help in generating various output data, including higher resolution images, multi-component images, and rock permeability.

  • March
    Vol. 7 No. 3 (2023)

    Cover image by Ruina Xu on pages 189-198. The image illustrates the salt precipitation behavior during CO2 geological storage in saline aquifers. The heterogeneity of reservoirs can avoid the local aggregation of salt near injection wells, thereby mitigating the effect of salt precipitation on injectivity. Meanwhile, salt is also preferentially precipitated in the fracture.

  • February
    Vol. 7 No. 2 (2023)

    Cover image by Kaiqiang Zhang on pages 132-135. Tight and shale reservoirs contain numerous nanopores of molecular size. The reduced pore scale results in the restricted free thermal motion and the enhanced intermolecular interactions, which induces the fluid phase to behave much differently. Understanding the deviated phase behavior at nanoscale contributes huge implications for unconventional hydrocarbons exploration and development.

  • January
    Vol. 7 No. 1 (2023)

    Cover image by Yuan Wang on pages 28-38. The image illustrates the reliability study of elastic graphite packers during the heat injection process of in-situ conversion mining heaters. When the downhole temperature is stable, the downhole pressure has the most obvious effect on the seal reliability of the packer, while the change of the rubber height has the least effect on the seal reliability. 

  • Decemeber
    Vol. 6 No. 6 (2022)

  • October
    Vol. 6 No. 5 (2022)

    Special Issue: Deep oil and gas resources in South China Sea, Edited by Xiongqi Pang, Hongbo Li, Hong Pang

  • August
    Vol. 6 No. 4 (2022)

  • June
    Vol. 6 No. 3 (2022)

  • April
    Vol. 6 No. 2 (2022)

  • February
    Vol. 6 No. 1 (2022)

  • Decemeber
    Vol. 5 No. 4 (2021)

  • September
    Vol. 5 No. 3 (2021)

  • June
    Vol. 5 No. 2 (2021)

  • March
    Vol. 5 No. 1 (2021)

  • Decemeber
    Vol. 4 No. 4 (2020)

  • September
    Vol. 4 No. 3 (2020)

  • June
    Vol. 4 No. 2 (2020)

  • March
    Vol. 4 No. 1 (2020)

  • Decemeber
    Vol. 3 No. 4 (2019)

  • September
    Vol. 3 No. 3 (2019)

  • June
    Vol. 3 No. 2 (2019)

  • March
    Vol. 3 No. 1 (2019)

  • Decemeber
    Vol. 2 No. 4 (2018)

  • September
    Vol. 2 No. 3 (2018)

  • June
    Vol. 2 No. 2 (2018)

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