Combining the Prediction of Penetration Depth of Downhole Perforators with the Depth of Invasion

Abstract

Formation fluids are displaced by drilling mud filtrate as a result of pressure overbalance during drilling. This process changes the petrophysical properties of the near-wellbore zone and creates an invasion zone that has a complex radial profile characterized by the partially decreased porosity, permeability, and altered saturations. Further, at the completion stage the well is cased, cemented, and then perforated to re-establish connection between wellbore and reservoir. During perforation, a shaped charge produces a jet of dense material traveling at very high velocity which penetrates casing, cement, and formation. The resulting tunnel is a rugose tapered cylinder roughly characterized by its diameter and total depth of penetration.One of the main goals of perforated completion is to ensure fluid flow from the productive reservoir interval to the wellbore. Equally important is the ability of the jet to penetrate beyond the zone of formation damage caused by drilling, connecting the wellbore to the virgin reservoir and alleviating the effect of formation damage on production. The ability to predict the invasion depth and the depth of penetration of downhole perforators is therefore critical for pre-job completion modeling.This work presents the results of numerical modeling predictions of both drilling mud filtrate invasion during drilling and jet penetration in rock during perforation. The invasion model is further applied to the well data interpretation, and a good agreement with log resistivity profile is shown. In addition, we review and discuss various empirical methods currently used in the industry to predict penetration depth. Despite a variety of available methods and published experimental data, penetration depth results are often inconsistent with each other and are of questionable use in predicting actual downhole penetration.We highlight the importance of combining accurate invasion and penetration models for the successful pre-job completion planning. The results should be used further with the well-inflow model to maximize well productivity and minimize the effect of formation damage.

Dielectric Permittivity Dispersion Measurements in Downhole Conditions – Effect on Porosity Measurements (Russian)

“…Например, можно указать метод скважинного определения пористости в индукционным каротаже с использованием закона Арчи (Karpov et al, 2014;Makarov et al, 2012;Eltsov et al, 2011;Makarov et al, 2010;Gladkikh et al, 2009;Makarov et al, 2009;Antonov et al, 2009;Eltsov et al, 2009;Makarov et al, 2008). Например, можно указать метод скважинного определения пористости в индукционным каротаже с использованием закона Арчи (Karpov et al, 2014;Makarov et al, 2012;Eltsov et al, 2011;Makarov et al, 2010;Gladkikh et al, 2009;Makarov et al, 2009;Antonov et al, 2009;Eltsov et al, 2009;Makarov et al, 2008).…”