A Neural-Network Approach for Modeling a Water-Distribution System

The authors present a new data-driven approach to estimate the injection rate in all noninstrumented wells in a large waterflooding operation accurately. The paper outlines the methodology and procedures used to analyze a branch of the water-network system and the modeling of accurate estimation of injection rates. The model performance is distinctive in its use of only field and wellhead measured data and considering the natural uncertainty inherited in these values.

Introduction

Lost Hills is a relatively large oil field located in western California. The field contains a significant amount of remaining producible reserves.