Machine learning-based reservoir reserves estimation

Abstract

A system, method, and computer program product for reservoir reserves estimation that includes at least one processing component, at least one memory component, a well data manager, a classification module, and an estimation module. The well data manager consolidates well data for a subject well and at least one neighbor well. The classification module includes a search component that selects at least one closest neighbor well from the neighbor wells. The classification module also includes a similarity matching component that determines a log signature distance between the at least one closest neighbor well and the subject well, as well as an analog selector that selects one or more analog wells from the at least one closest neighbor well. The estimation module includes a decline estimator that generates group decline rates for the one or more analog wells and a subject decline rate based on the group decline rates.