# Capacitance Resistance Model and Recurrent Neural Network for Well Connectivity Estimation : A Comparison Study

arXiv: https://arxiv.org/abs/2109.08779 · HTML: https://mlsanity.com/paper/2109.08779/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 2 references that are in the map.
- First posted on arXiv 17 Sep 2021.

## Abstract (arXiv)

In this report, two commonly used data-driven models for predicting well production under a waterflood setting: the capacitance resistance model (CRM) and recurrent neural networks (RNN) are compared. Both models are completely data-driven and are intended to learn the reservoir behavior during a water flood from historical data. This report serves as a technical guide to the python-based implementation of the CRM model available from the associated GitHub repository.