Abstract: Techniques for analyzing and enhancing performance of oilfield assets are presented. The techniques can include: receiving oilfield data input; projecting production for multiple wells in a field based at least in part on the oilfield data input and using one or more of Decline Curve Analysis (DCA), a machine learning model, Rate Transient Analysis (RTA); aggregating the projected production for the plurality of wells; identifying one or more wells for additional completion operations; determining one or more completion operations to conduct for the one or more identified wells, wherein the determining uses a machine learning model to forecast results of the one or more completion operations; computing, for the one or more identified wells, generational analytics related to well behaviors and based at least in part on respective well ages; and displaying, for the one or more identified wells, analytics, recommendations, or projections using a display dashboard.

Abstract: Techniques for analyzing and enhancing performance of oilfield assets are presented. The techniques can include: receiving oilfield data input; projecting production for multiple wells in a field based at least in part on the oilfield data input and using one or more of Decline Curve Analysis (DCA), a machine learning model, Rate Transient Analysis (RTA); aggregating the projected production for the plurality of wells; identifying one or more wells for additional completion operations; determining one or more completion operations to conduct for the one or more identified wells, wherein the determining uses a machine learning model to forecast results of the one or more completion operations; computing, for the one or more identified wells, generational analytics related to well behaviors and based at least in part on respective well ages; and displaying, for the one or more identified wells, analytics, recommendations, or projections using a display dashboard.