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Interference tests are used in shale reservoirs to evaluate the strength ofconnectivity between wells. The results inform engineering decisions about wellspacing. In this paper, we propose a new procedure for interpretinginterference tests. We fit the initial interference response with the solutionto the 1D diffusivity equation at an offset observation point. It isadvantageous to use the initial interference response, rather than thesubsequent trend, because it is less affected by nonlinearities, time-varyingboundary conditions, and uncertainties about flow geometry and regime. From thecurve fit, we estimate the hydraulic diffusivity and conductivity of thefractures connecting the wells. For engineering purposes, it would be useful toquantify the impact of interference on well production. Thus, we seek arelationship between the degree of production interference (DPI) and anappropriate dimensionless quantity that can be derived from the estimate offracture conductivity. Using simulations run under a wide range of conditions,we find that the classical definition for dimensionless fracture conductivitydoes not achieve a consistent prediction of DPI. This occurs because thedimensionless fracture conductivity is derived assuming radial flow geometry,but the dominant flow geometry during shale production is linear. We also findthat the CPG (Chow Pressure Group) metric does not yield consistently accuratepredictions of DPI. As an alternative, we derive a dimensionless quantitysimilar to the classical dimensionless fracture conductivity, but derived forlinear, flow geometry. Using this approach, we calculate a dimensionlessinterference length that collapses all cases onto a single curve that predictsDPI as a function of fracture conductivity, well spacing, and formationproperties. We conclude by applying the new method to field cases from theAnadarko and Delaware Basins.

geomechanics and geophysics for geo-energy and geo-resources

A new method for interpreting well-to-well interference tests and  quantifying the magnitude of production impact: Theory and applications in a  multi-basin case study