Analysis of Natural Gas Hydrate Resource Content based on Kriging Algorithm and TOPSIS Evaluation Model

Authors

  • Boyang Guan

DOI:

https://doi.org/10.54097/7t0mhe93

Keywords:

Natural Gas Hydrate, Kriging Algorithm, TOPSIS Evaluation Model

Abstract

The exploration and evaluation system for natural gas hydrate resources is currently incomplete. Research on evaluation methods for the quantity of natural gas hydrate resources is an important part of theoretical studies and is crucial in guiding exploration and development activities. In this paper, we establish the total effective thickness (Z), average porosity of the reservoir ( ), and the absolute value of average saturation ( ) as indicators for evaluating the quantity of natural gas hydrate resources. We then statistically analyze the data from various exploration points to obtain the values of these indicators. Subsequently, we employ the Kriging algorithm to interpolate the data, obtaining a more densely distributed grid. Following this, we establish a TOPSIS evaluation model to calculate the scores of each exploration point. Finally, a heat map is generated to represent the distribution of resource quantity scores in various regions. The results indicate that natural gas hydrate resources are primarily distributed in the upper left, lower right, and directly below the detection area.

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References

X.-H. Liu et al., “Evaluation of natural gas hydrate resources in the South China Sea using a new genetic analogy method,” Petroleum Science, vol. 19, no. 1, pp. 48–57, Feb. 2022.

X.-W. Zhang et al., “Evaluation of natural gas hydrate resources in the South China Sea by combining volumetric and trend-analysis methods,” Petroleum Science, vol. 19, no. 1, pp. 37–47, Feb. 2022.

Q. Meng et al., “Growth behavior and resource potential evaluation of gas hydrate in core fractures in Qilian Mountain permafrost area, Qinghai-Tibet Plateau,” China Geology, vol. 6, no. 2, pp. 208–215, Apr. 2023.

E. Wang, Y. Feng, T. Guo, and M. Li, “Oil content and resource quality evaluation methods for lacustrine shale: A review and a novel three-dimensional quality evaluation model,” Earth-Science Reviews, vol. 232, p. 104134, Sep. 2022.

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Published

27-06-2024

Issue

Section

Articles

How to Cite

Guan, B. (2024). Analysis of Natural Gas Hydrate Resource Content based on Kriging Algorithm and TOPSIS Evaluation Model. Frontiers in Computing and Intelligent Systems, 8(3), 6-12. https://doi.org/10.54097/7t0mhe93