README.md

metadata

tags:
  - seismic
  - deblending
  - common-receiver
  - segy
  - geophysics
task_categories:
  - image-to-image
  - other
pretty_name: Deblending Common-Receiver Dataset
viewer: false

Deblending Common-Receiver Dataset

Paired common-receiver SEG-Y volumes for supervised seismic deblending.

Task

This dataset is used for direct paired regression:

denoised = model(input)

Where:

• input is the pseudo-deblended common-receiver gather volume
• target is the cleaner forwarding-acoustic common-receiver gather volume

This is not a noise-label regression dataset.

Dataset Description

• Input variants currently included:
• T02_comp: input/T02_pseudo_deblended_common_receiver_comp.sgy
• T02_mod: input/T02_pseudo_deblended_common_receiver_mod.sgy
• T02_simp: input/T02_pseudo_deblended_common_receiver_simp.sgy
• Shared target file(s):
• target/T02_forwarding_acoustic_common_receiver.sgy
• Geometry used by the benchmark: (386, 270, 2000)
• Interpretation:
  • 386 common-receiver gathers
  • 270 traces per gather
  • 2000 time samples per trace
• Format: paired SEG-Y volumes with matching sequential gather layout

Preview Images

Clean Reference

Simple Blending Input

Moderate Blending Input

Hard Blending Input

File Structure

Kind	Path	Variant	Size
input	input/T02_pseudo_deblended_common_receiver_comp.sgy	T02_comp	819.0 MB
input	input/T02_pseudo_deblended_common_receiver_mod.sgy	T02_mod	819.0 MB
input	input/T02_pseudo_deblended_common_receiver_simp.sgy	T02_simp	819.0 MB
target	target/T02_forwarding_acoustic_common_receiver.sgy	shared	819.0 MB

Loading Data

import numpy as np
import segyio


def read_common_receiver_volume(path, traces_per_gather=270):
    with segyio.open(path, "r", ignore_geometry=True) as src:
        n_traces_total = src.tracecount
        n_time = src.samples.size
        n_gathers = n_traces_total // traces_per_gather
        data = segyio.tools.collect(src.trace[:]).astype(np.float32, copy=False)
        data = data.reshape(n_gathers, traces_per_gather, n_time)
    return data


input_volume = read_common_receiver_volume(
    "input/T02_pseudo_deblended_common_receiver_mod.sgy",
    traces_per_gather=270,
)
target_volume = read_common_receiver_volume(
    "target/T02_forwarding_acoustic_common_receiver.sgy",
    traces_per_gather=270,
)

With huggingface_hub:

from huggingface_hub import hf_hub_download

input_path = hf_hub_download(
    repo_id="GeoBrain/deblending-common-receiver",
    filename="input/T02_pseudo_deblended_common_receiver_mod.sgy",
    repo_type="dataset",
)

Benchmark Split

The current benchmark uses a sequential gather split:

Split	Gathers
Train	300
Val	43
Test	43

The split is applied on common-receiver gather index.

Preprocessing Recipe

The companion benchmark currently applies:

1. shared max_abs normalization between input and target
2. per-gather normalization through the shared shot normalization scope
3. overlapping 2D trace-time patches

Current patch settings:

• patch_trace: 128
• patch_time: 256
• patch_overlap: 0.5

Notes

• The benchmark uses common-receiver gathers, not common-shot gathers.
• Input and target must keep identical ordering and identical shape.
• The current benchmark reads these files by fixed sequential grouping with 270 traces per gather.
• Multiple pseudo-deblended input variants can share the same forwarding-acoustic target.

Citation

If you use this dataset, cite the dataset repository:

@misc{deblending_common_receiver_dataset,
  title={Deblending Common-Receiver Dataset},
  howpublished={https://huggingface.co/datasets/GeoBrain/deblending-common-receiver},
}

References

• segyio library: https://github.com/equinor/segyio