Accounting for Fixed Effects in Re-Fracturing Using Dynamic Multivariate Regression

The oil and gas (O&G) industry is now as focused on minimizing costs maximizing efficiency just much production. Operators are looking for new cost-effective ways to add profitable assets their portfolio. One such way re-fracture existing wells. There evidence that these wells can be very productive in the Bakken. However, because of factors depletion aging wellbore material, re-fracturing a difficult process implement successfully often have binding constraints surface treating pressure (STP). This study attempts quantify effects completion parameters treatment implementation by constructing dynamic fixed (FE) multivariate regression models. These models not generally used O&G more commonly economics policy analysis. given both deal with large amounts uncertainty each individual person well, respectively, provide simpler approach handle uncertainty. also attempt account stress shadow from subsequent stages treatment. FE model has advantage compilation well data panel differencing out any unobservable parameters. To authors’ knowledge, this first using estimate temporal one stage next. may then thought estimating boundary shadows, which will affect implementation. novelty lies effects, while accounting within-well variation, than those usually found industry. We simplicity feature, bug. previous average STP, acid volume pumped, perforation standoff were all statistically significant predictors STP strong dependence after geologic predict positive marginal effect seem counterintuitive, but backed study.