---
title: Seismic White Noise Reduction
url: https://www.ml-quant.com/papers/ssrn/4984294/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4984294
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4984294
featured: 2024-10-17
citations: unknown
topic: ML & AI Methods
---


# Seismic White Noise Reduction

The study shows that deep learning algorithms can effectively eliminate noise from seismic data, especially when the algorithm is trained to learn the signal instead of the noise.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4984294
- Identifier: SSRN 4984294
- Released: 2024-10-11
- First featured: Quant Letter No. 70 (2024-10-17): https://www.ml-quant.com/issues/2024-10-17/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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