Automated Decline Curve Analysis - DCA from a Data Science Perspective

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Authors: T. Odland, K. U. Hollund
Cited by: 0

Abstract

Summary Decline Curve Analysis (DCA) is arguably the simplest method for forecasting production. For wells on steady decline, and particularly for fast and efficient forecasting at scale, its simplicity is also its strength: DCA is robust, fast, fully automated and easy to interpret. Still, simple does not mean easy - to get good performance the least-squares curve fitting routine should be modified. Care must be taken in data preprocessing, model construction and hyperparameter tuning. If done right, DCA offers great promise in automating and streamlining forecasting for many wells in the NCS.

Fields of Study & Subjects

Reservoir Engineering and Simulation Methods Oil and Gas Production Techniques Forecasting Techniques and Applications

Publication details

Journal / source
EAGE Digitalization Conference & Exhibition
Pages
1–5
Publication date
1 January 2026