Research on Rock Minerals and IP Response Characteristics of Shale Gas Reservoir in Sichuan Basin
Abstract
:1. Introduction
2. Geological Overview of the Sampling Area and Sample Information
3. Measurement and Analysis Method of Shale Complex Resistivity
3.1. Complex Resistivity Measurement Method
3.2. Complex Resistivity Inversion Model
4. Complex Resistivity and IP Parameter Results
5. Analysis of Minerals and IP Parameters
6. Conclusions
- Through the analysis of mineral composition and IP parameters, with the increase of well depth, the content of brittle minerals increases at first and then decreases, and the content of pyrite and TOC increases on the whole, while the polarizability is increasing and the resistivity is decreasing. Combined with lithologic histogram, it is found that the polarizability is higher and the resistivity is lower closer to the gas-producing horizon, showing the characteristics of low resistance and high polarization.
- The relationship model was initially established by the cross-plot of pyrite content, polarizability and resistivity. The rock sample polarizability gradually increased with the increase of pyrite content, and the resistivity decreased with the increase of pyrite content. The correlation between pyrite and IP parameters is indicative for the preliminary exploration and development of shale gas reservoirs.
- The content of pyrite and TOC are important parameters for shale gas reservoir evaluation. By analyzing the relationship between the total content of pyrite and TOC and IP parameters, it was found that there is a strong correlation between them, and the sensitivity of polarizability is better than that of resistivity. Polarizability is a parameter found in this study that is extremely sensitive to shale gas reservoir information, which can provide reference for shale gas reservoir electrical exploration, subsequent shale gas development and reservoir reconstruction. However, the research content needs to be further deepened, and the relationship between mineral components and IP parameters needs more experimental data to supplement and improve.
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Number | Depth | ρ0 (Ω·m) | m1 | τ1 (s) | c1 |
---|---|---|---|---|---|
1 | 2382.43–2382.72 | 153.06 | 0.09 | 2.02 | 0.13 |
2 | 2384.13–2384.43 | 162.42 | 0.07 | 0.96 | 0.15 |
3 | 2385.46–2385.73 | 153.72 | 0.08 | 0.96 | 0.16 |
4 | 2386.75–2387.05 | 125.41 | 0.08 | 0.96 | 0.14 |
5 | 2388.16–2388.43 | 184.75 | 0.08 | 0.98 | 0.15 |
6 | 2389.48–2389.78 | 154.23 | 0.07 | 0.99 | 0.13 |
7 | 2391.22–2391.49 | 113.71 | 0.17 | 0.92 | 0.18 |
8 | 2393.19–2393.47 | 156.30 | 0.09 | 0.93 | 0.15 |
9 | 2467.47–2467.77 | 140.45 | 0.13 | 0.70 | 0.20 |
10 | 2469.01–2469.30 | 144.82 | 0.15 | 0.59 | 0.21 |
11 | 2469.77–2470.07 | 136.01 | 0.13 | 0.65 | 0.21 |
12 | 2471.00–2471.28 | 186.98 | 0.11 | 0.57 | 0.24 |
13 | 2472.19–2472.45 | 151.87 | 0.11 | 0.81 | 0.20 |
14 | 2472.93–2473.22 | 165.32 | 0.13 | 0.47 | 0.24 |
15 | 2473.72–2473.97 | 155.21 | 0.11 | 0.80 | 0.21 |
17 | 2477.61–2477.91 | 71.45 | 0.14 | 0.89 | 0.18 |
18 | 2479.66–2479.93 | 189.55 | 0.14 | 0.81 | 0.19 |
19 | 2480.34–2480.64 | 143.16 | 0.16 | 0.70 | 0.19 |
20 | 2481.09–2481.39 | 127.45 | 0.15 | 0.69 | 0.20 |
21 | 2481.92–2482.22 | 134.70 | 0.17 | 0.82 | 0.17 |
22 | 2482.96–2483.23 | 163.70 | 0.17 | 0.96 | 0.19 |
23 | 2483.82–2484.10 | 160.76 | 0.18 | 0.75 | 0.17 |
24 | 2485.19–2485.48 | 96.97 | 0.15 | 0.93 | 0.23 |
25 | 2488.52–2488.80 | 120.32 | 0.19 | 3.89 | 0.50 |
26 | 2489.48–2489.77 | 127.14 | 0.15 | 0.81 | 0.20 |
27 | 2490.28–2490.55 | 107.18 | 0.16 | 0.98 | 0.22 |
28 | 2492.71–2492.99 | 109.32 | 0.15 | 0.95 | 0.20 |
29 | 2494.15–2494.45 | 141.09 | 0.14 | 0.75 | 0.23 |
30 | 2496.82–2497.08 | 45.24 | 0.18 | 8.84 | 0.88 |
31 | 2498.44–2498.75 | 117.28 | 0.13 | 0.94 | 0.17 |
32 | 2499.44–2499.71 | 58.96 | 0.17 | 8.69 | 0.84 |
33 | 2500.30–2500.57 | 52.24 | 0.22 | 11.97 | 0.95 |
34 | 2502.86–2503.13 | 55.65 | 0.18 | 11.10 | 0.96 |
35 | 2504.09–2504.32 | 64.31 | 0.17 | 2.36 | 0.32 |
36 | 2504.90–2505.17 | 64.89 | 0.14 | 8.41 | 0.87 |
37 | 2505.89–2506.17 | 66.85 | 0.13 | 8.20 | 0.83 |
38 | 2507.40–2507.67 | 73.98 | 0.18 | 2.26 | 0.27 |
39 | 2508.09–2508.37 | 60.78 | 0.18 | 8.62 | 0.84 |
40 | 2509.22–2509.50 | 60.45 | 0.20 | 3.25 | 0.45 |
41 | 2510.38–2510.65 | 43.52 | 0.18 | 7.19 | 0.81 |
42 | 2511.42–2511.69 | 33.86 | 0.16 | 5.67 | 0.73 |
43 | 2512.15–2512.42 | 66.67 | 0.20 | 5.30 | 0.67 |
44 | 2513.20–2513.45 | 46.12 | 0.15 | 7.50 | 0.80 |
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Xiang, K.; Yan, L.; Yu, G.; Wang, X.; Luo, Y. Research on Rock Minerals and IP Response Characteristics of Shale Gas Reservoir in Sichuan Basin. Energies 2022, 15, 6439. https://doi.org/10.3390/en15176439
Xiang K, Yan L, Yu G, Wang X, Luo Y. Research on Rock Minerals and IP Response Characteristics of Shale Gas Reservoir in Sichuan Basin. Energies. 2022; 15(17):6439. https://doi.org/10.3390/en15176439
Chicago/Turabian StyleXiang, Kui, Liangjun Yan, Gang Yu, Xinghao Wang, and Yuanyuan Luo. 2022. "Research on Rock Minerals and IP Response Characteristics of Shale Gas Reservoir in Sichuan Basin" Energies 15, no. 17: 6439. https://doi.org/10.3390/en15176439