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: A method of performing a perforation operation is disclosed. The method involves generating a stress contrast distribution for each stage of a well based on drilling stress data and a stress log of the well, generating a stress association between the drilling stress data and the stress log, generating a new stress contrast distribution for each of the stages of a new well based on new wellsite data (new drilling stress data) and the stress association, generating a production forecast using the geometric completion (GC) design and a predicted production forecast based on the engineered completion (EC) design, comparing a cost of a new stress log of the new well with a change in revenue between the GC production forecast and the predicted production forecast, and selectively perforating the new well using either GC or EC design based on the comparing, whereby stress logging may be selectively performed.

Abstract: A method of performing a perforation operation is disclosed. The method involves generating a stress contrast distribution for each stage of a well based on drilling stress data and a stress log of the well, generating a stress association between the drilling stress data and the stress log, generating a new stress contrast distribution for each of the stages of a new well based on new wellsite data (new drilling stress data) and the stress association, generating a production forecast using the geometric completion (GC) design and a predicted production forecast based on the engineered completion (EC) design, comparing a cost of a new stress log of the new well with a change in revenue between the GC production forecast and the predicted production forecast, and selectively perforating the new well using either GC or EC design based on the comparing, whereby stress logging may be selectively performed.

Abstract: Methods may include applying a correlation between the probability of stress variations in a first well and variations in drilling data obtained from the first well to drilling data obtained from one or more additional wells; calculating a proportion of high stress and low stress contrast stages within the one or more additional wells; and creating one or more synthetic stress profiles for various completion techniques based on the calculated proportion of high stress and low stress contrast stages within the one or more additional wells; and using the one or more synthetic stress profiles to create a synthetic stress log for a geometric completion (GC) and an engineered completion (EC).