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arXiv · 2302.01968

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

Mouin Almasoodi·Thad Andrews·Curtis Johnston·Ankush Singh·Mark McClure
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Abstract

Interference tests are used in shale reservoirs to evaluate the strength of connectivity between wells. The results inform engineering decisions about well spacing. In this paper, we propose a new procedure for interpreting interference tests. We fit the initial interference response with the solution to the 1D diffusivity equation at an offset observation point. It is advantageous to use the initial interference response, rather than the subsequent trend, because it is less affected by nonlinearities, time-varying boundary conditions, and uncertainties about flow geometry and regime. From the curve fit, we estimate the hydraulic diffusivity and conductivity of the fractures connecting the wells. For engineering purposes, it would be useful to quantify the impact of interference on well production. Thus, we seek a relationship between the degree of production interference (DPI) and an appropriate dimensionless quantity that can be derived from the estimate of fracture conductivity. Using simulations run under a wide range of conditions, we find that the classical definition for dimensionless fracture conductivity does not achieve a consistent prediction of DPI. This occurs because the dimensionless fracture conductivity is derived assuming radial flow geometry, but the dominant flow geometry during shale production is linear. We also find that the CPG (Chow Pressure Group) metric does not yield consistently accurate predictions of DPI. As an alternative, we derive a dimensionless quantity similar to the classical dimensionless fracture conductivity, but derived for linear, flow geometry. Using this approach, we calculate a dimensionless interference length that collapses all cases onto a single curve that predicts DPI as a function of fracture conductivity, well spacing, and formation properties. We conclude by applying the new method to field cases from the Anadarko and Delaware Basins.

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Mouin Almasoodi, Thad Andrews, Curtis Johnston, Ankush Singh, Mark McClure. 2023-02-03. 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. https://doi.org/10.1007/s40948-023-00632-1

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