SY/T 7002-2020 in English
VALIDSpecifications for geophysical reservoir prediction
- Issued on:2020-10-23
- Implemented on:2021-02-01
- File Format:PDF
- Delivery:Via email within 5 business days
$291.00
| Standard No: | SY/T 7002-2020 |
| Document status: | VALID |
| Title in English: | Specifications for geophysical reservoir prediction |
| Title in Chinese: | 储层地球物理预测技术规范 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 5 business days |
| Issued on: | 2020-10-23 |
| Implemented on: | 2021-02-01 |
| Superseding: |
SY/T 7002-2014 Technical specifications for geophysical reservoir prediction
|
| Professional Classification: | SY-Oil & Gas |
| Related Keywords: | seismic data reservoir prediction single reservoir prediction
geophysical reservoir prediction introduction core changes fracture prediction prediction error 8-factor prediction |
| Related Topics: | Geophysics
reservoir predictive technology sy/t 6238.1 predict pre-test cs testing techniques technical management reserve reservoir Geophysics predictive technology layer earth prediction and detection Jurassic Geophysics to predict Reservoir prediction industry sy/t 7494-2020 sy/t 7466-2020 sy/t 7468-2020 |
Introduction
Core changes in the standard revision
| Technical modules | Contents of the 2014 version | Additions/modifications in the 2020 version |
|---|---|---|
| Definition of terms | 5 basic terms | 5 new terms such as spiral gathers and azimuthal anisotropic intensity |
| Data collection | 4 types of basic data | 11 specific requirements for seismic data |
| Reservoir prediction | Single reservoir prediction | Expanded to 8-factor prediction (lithology/physical properties/oil and gas content, etc.) |
Key technology implementation points
1. Seismic rock physics modeling
It is necessary to establish a rock physics model including parameters such as P-wave velocity, S-wave velocity, and density, and make the prediction error ≤15% by optimizing the ratio of soft and hard pores (recommended range 0.2-0.8). Quality control needs to provide:
- Measured vs predicted elastic parameter cross plot
- Sensitive parameter histogram analysis report
2. Azimuthal anisotropy analysis
Added a double verification mechanism of ellipse fitting method and azimuthal statistics method:
| Method | Applicable scenarios | Accuracy requirements |
|---|---|---|
| Ellipse fitting method | Continuous fracture development area | Main azimuth angle deviation≤10° |
| Azimuthal statistics method | Discrete fracture development area | Azimuthal interval≤30° |
Quality Control System
Implement a three-level inspection system:
- First-level inspection: 100% self-inspection by the special group
- Second-level inspection: 30% spot check by the project group
- Third-level inspection: 20% key inspection by the competent department
Key quality control indicators include: reservoir calibration phase error (≤1/2 phase), well consistency of inversion results (≥90%), consistency between fracture prediction and logging interpretation, etc.
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