---
title: Oil Production Decline Prediction
url: https://www.ml-quant.com/papers/ssrn/5124652/
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 5124652
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5124652
featured: 2025-02-19
citations: unknown
topic: Econometrics & Forecasting
---


# Oil Production Decline Prediction

Ensemble residual machine learning models are more effective than traditional models in oil production forecasting due to their ability to handle high nonlinearity in data.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5124652
- Identifier: SSRN 5124652
- Released: 2025-02-09
- First featured: Quant Letter No. 85 (2025-02-19): https://www.ml-quant.com/issues/2025-02-19/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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