GeoBrain/random-noise-avo-seismic

AVO Clean Seismic Dataset

Clean pre-stack SEG-Y shot gathers used as the source volume for the random-noise-suppression AVO benchmark. Synthetic Gaussian and Poisson noise is added during training and inference by the benchmark scripts; this repository stores the clean reference volume only.

Source

The clean AVO seismic data is sourced from a public SEG dataset and is used here as the clean reference volume for controlled synthetic random-noise experiments.

Preview Images

clean

Dataset File

• File: data/seismic.segy
• Size: 714.8 MB
• Shots: 1001
• Traces per shot: 120
• Samples per trace: 1500
• Sample interval: 0.004 s
• Total traces: 120120

Benchmark Usage

The AVO random-noise-suppression configs expect this file at:

/root/Desktop/data/seismic.segy

The benchmark reads the SEG-Y as a regular shot-gather volume:

from tools.segy_read import read_regular_shots

shots = read_regular_shots(
    "data/seismic.segy",
    traces_per_shot=120,
    time_downsample=1,
)
print(shots.shape)  # (1001, 120, 1500)

Training uses shot-level splitting:

train: 801 shots
val:   100 shots
test:  100 shots

Preprocessing uses per-shot max_abs normalization, dt=0.004, and patch_trace=120, patch_time=256.

Citation

If you use this dataset, cite the dataset repository:

@misc{avo_clean_seismic_dataset,
  title={AVO Clean Seismic Dataset},
  howpublished={https://huggingface.co/datasets/GeoBrain/random-noise-avo-seismic},
}