X-ray Micro-Tomography Datasets of Mixed-Wet Carbonate Reservoir Rocks

Three high-resolution X-ray micro-tomography datasets of carbonate reservoir rock samples. The samples were waterflooded at subsurface conditions and aged to restore mixed-wettability, characterized by in situ effective contact angle measurements. The data was produced by Amer M. Alhammadi of Imperial College London and is associated with a 2017 publication in Scientific Reports.

Use Cases

• Training segmentation algorithms for pore and fluid phase identification based on the described X-ray tomography images.
• Validating pore-scale flow simulations based on the characterized mixed-wettability conditions.
• Benchmarking automated contact angle measurement algorithms, such as the one by AlRatrout et al. (2017), on real rock samples.
• Studying the impact of waterflooding on pore structure and fluid distribution in carbonate reservoirs.

Strengths

• Includes three distinct carbonate rock samples, providing comparative data.
• Samples were processed under subsurface conditions after 20 pore volumes of waterflooding, simulating a relevant engineering process.
• Wettability characterized using a published, automated algorithm for in situ effective contact angle measurement.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Imperial College London

Collection Method

X-ray micro-tomography imaging of laboratory-prepared rock samples.