Inferring Well-to-Well Connectivity Using Nonparametric Regression on Well Histories

Abstract

In the past, well histories such as produced chloride concentration and injection rate data have been used to identify well-to-well relationships and thereby to recognize injection return flow paths in the reservoir. One of the difficulties in earlier approaches has been the need to make some kind of assumption of the expected form of the production histories. By using nonparametric regression, the need to assume a specific form of model is avoided, and a clearer vision of the relationships between reservoir parameters can be revealed. Data from Palinpinon-I field were analyzed using the approach and results were verified successfully against tracer test data and qualitative field observations.