SY/T 6994-2020 in English
VALIDSpecification for shale gas logging data processing and interpretation
- Issued on:2020-10-23
- Implemented on:2021-02-01
- File Format:PDF
- Delivery:Via email within 5 business days
$418.00
Introduction
Core changes in the standard revision
| Technical modules | Contents of the 2014 version | Improvements in the 2020 version | Technical significance |
|---|---|---|---|
| Mineral composition calculation | Only supports conventional logging curve optimization | Added element capture/full spectrum logging data fusion | Silica mineral identification accuracy improved by 30% |
| Organic carbon content | Resistivity-acoustic time difference model | Added formation element full spectrum logging method | Eliminate maturity effect error |
| Prosity calculation | Traditional volume model | New organic porosity algorithm (Formula 11) | Nanoscale pore characterization capability |
Key technology implementation points
1. Optimization of mineral component calculation
The standard recommends three calculation methods: optimization method (6.1.2.1), element logging method (6.1.2.2) and regression fitting method (6.1.2.4). Element capture logging can accurately invert the content of siliceous minerals. Please note:
- The conversion coefficient between silicon content and quartz minerals needs to be calibrated by X-ray diffractometer
- Density correction is required when the pyrite content is >5%
2. Innovation in gas content calculation
The new standard introduces temperature-organic carbon dual correction (Formula 14-18) in the calculation of adsorbed gas. Key technical parameters:
Case: The measured temperature of a shale layer in a certain area is 85℃, and the laboratory isothermal adsorption temperature is 30℃. Langmuir pressure correction is required according to formula (16):
PLres = PLlab × exp[(1/Tlab - 1/Tres) × 1463]
Field application suggestions
Logging project combination strategy
According to Appendix A/B recommendations:
- Exploration wells: must include element capture logging + nuclear magnetic resonance
- Horizontal wells: azimuthal resistivity imaging is preferred instead of conventional resistivity
Quality verification process
Establish a three-level verification mechanism according to the requirements of Chapter 7:
- Core analysis data comparison (error>10% requires reprocessing)
- Regional parameter regularity check
- Geological model matching verification

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