3D microstructure of Sichuan Basin Longmaxi shale samples

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About this Collection

3D microstructure of Sichuan Basin Longmaxi shale samples

This data set is a collection of multi-energy X-ray CT data and DCM generated 3D compositional microstructural data and 3D pore-organic clusters data for three Sichuan Basin Longmaxi shale samples. The compositions are comprised of pore-organics, heavy minerals and light minerals.

Geophysics not elsewhere classified

04 Aug 2020

Sam Yang

3D microstructure Sichuan Basin Longmaxi formation shale X-ray CT data-constrained modelling DCM








The interactive Web3D images are generated using the CSIRO DCM software. The DCM software is available for download at and more information about DCM is available at

Shanxi University; China University of Petroleum; CSIRO; Sinopec; Shenzhen University; Sanying Precision Engineering

CSIRO Data Licence

CSIRO (Australia), Shanxi University (China), Sinopec (China), Shenzhen University (China), China University of Petroleum (China)

Li, Jianli; Yang, Sam; Wang, Haipeng; Yu, Lingjie; Liu, Keyu; Ma, Jie; Wei, Yadong (2020): 3D microstructure of Sichuan Basin Longmaxi shale samples. v2. CSIRO. Data Collection.

All Rights (including copyright) CSIRO, Shanxi University, China University of Petroleum 2020.

The metadata and files (if any) are available to the public.

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About this Project

Strategic - Design, Surface & Functionality 2019/20

Strategic Project to capture the allocation of both the RGL and TL's in the Group. OpEx is allocated for: - TL & RGL travel between Clayton and Lindfield for staffing matters - Local conferences for Group members which may not be captured by specific projects - Training requirements of team members - International travel and expenses for team membe... more

Shirley Shen

Data-constrained modelling (DCM)

Data-constrained characterization of materials microstructures and performance properties by incorporating quantitative multi-energy X-ray CT in a generic statistical mechanical modelling framework


Jianli Li

Sam Yang

Haipeng Wang

Lingjie Yu

Keyu Liu

Jie Ma

Yadong Wei

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