Gas-bearing property evaluation by petrophysical logging in shale gas reservoirs: a case study in J area of Fuling shale gas field, Sichuan Basin

LIU Yun; ZHANG Mengyin

doi:10.11781/sysydz202101128

Volume 43 Issue 1

Jan. 2021

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LIU Yun, ZHANG Mengyin. Gas-bearing property evaluation by petrophysical logging in shale gas reservoirs: a case study in J area of Fuling shale gas field, Sichuan Basin[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2021, 43(1): 128-135. doi: 10.11781/sysydz202101128

Citation:

LIU Yun, ZHANG Mengyin. Gas-bearing property evaluation by petrophysical logging in shale gas reservoirs: a case study in J area of Fuling shale gas field, Sichuan Basin[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2021, 43(1): 128-135. doi: 10.11781/sysydz202101128

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Gas-bearing property evaluation by petrophysical logging in shale gas reservoirs: a case study in J area of Fuling shale gas field, Sichuan Basin

doi: 10.11781/sysydz202101128

Research Institute of Exploration and Development, SINOPEC Jianghan Oilfield Company, Wuhan, Hubei 430023, China

Received Date: 2020-04-13
Rev Recd Date: 2020-11-26
Publish Date: 2021-01-28

Abstract

Abstract

The lithology of shale reservoirs is complex and the types of storage porosity are diverse. The existing gas-bearing property evaluation system by petrophysical logging is not perfect. In order to deepen the understanding of the gas-bearing capacity evaluation of shale reservoirs in J area of the Fuling shale gas field in the Sichuan Basin, the density-neutron curve superposition method, natural gamma-de-uranium gamma curve superposition method, and uranium-thorium ratio method are applied in qualitative recognition. Quantitative logging research was carried out on gas-bearing parameters such as adsorbed gas, free gas, porosity, and gas saturation. Based on the multi-parameter comparative study, organic carbon content, porosity, gas saturation, siliceous content, and burial depth are selected as the logging evaluation parameters that affect gas-bearing properties. A logging evaluation index (GQ) for gas-bearing capacity is constructed using fuzzy correlation analysis. The gas-bearing evaluation criterion is established, that is, GQ ≥ 0.57 for type Ⅰ gas-bearing reservoirs, 0.37 < GQ < 0.57 for type Ⅱ gas-bearing reservoirs, and GQ ≤ 0.37 for type Ⅲ gas-bearing reservoirs. The application of this method in J area shows that the accuracy of the quantitative prediction model for gas-bearing parameters is high, and the gas-bearing evaluation criteria can effectively evaluate and classify the gas-bearing properties of the reservoir.
- gas-bearing property,
- fuzzy correlation,
- well logging evaluation,
- Wufeng-Longmaxi formations,
- Fuling shale gas field,
- Sichuan Basin

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References

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Gas-bearing property evaluation by petrophysical logging in shale gas reservoirs: a case study in J area of Fuling shale gas field, Sichuan Basin

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Gas-bearing property evaluation by petrophysical logging in shale gas reservoirs: a case study in J area of Fuling shale gas field, Sichuan Basin

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