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Identification and Applications of Micro to Macroscale Shale Lithofacies
Shengxiang Long1, Yongmin Peng1, Jing Lu1
1SINOPEC Key Laboratory of Shale Oil/Gas Exploration and Production Technology, SINOPEC, Beijing 100083, China.
Journal of Nanoscience and Nanotechnology
|November 20, 2020
Summary
This study introduces an integrated geological and engineering method for evaluating shale gas reservoirs. The new lithofacies classification and identification technology enhances shale gas exploration and development efficiency.
Area of Science:
- Geosciences
- Petroleum Engineering
- Sedimentology
Background:
- Systematic evaluation of shale gas reservoirs is crucial for exploration and development.
- Previous experimental analyses for shale gas reservoirs are often overly simplified.
- Need for an integrated approach combining geological and engineering methods.
Purpose of the Study:
- To develop and validate an integrated geological and engineering method for shale gas reservoir evaluation.
- To establish a lithofacies division system and identification technology for micro to macroscale analysis.
- To improve the accuracy and efficiency of shale gas exploration and development.
Main Methods:
- Developed a lithofacies classification system based on lithology, total organic carbon (TOC), and brittle mineral content.
- Applied sequence and thin layer interfaces to longitudinally divide organic matter-rich shales into 7 lithofacies.
- Created marine shale lithofacies identification technologies using conventional logging, image logging, and logging summarization.
Main Results:
- Successfully classified shale lithofacies in the Upper Ordovician Wufeng to Lower Silurian Longmaxi Formations.
- Identified organic carbon-rich, high-silicon lithofacies as the most favorable for shale gas reservoirs.
- Demonstrated successful application of the lithofacies technology in the Fuling gas field and other Sichuan Basin areas.
Conclusions:
- The integrated lithofacies method provides a comprehensive approach to shale gas reservoir evaluation.
- The developed lithofacies identification technologies are efficient and applicable for field site applications.
- This method enhances shale formation comparison, horizontal well drilling analysis, and fracturing stage assessment.

