Accelerating Completions Concept Select in Unconventional Plays Using Diagnostics and Frac Modeling

Abstract

Abstract Data pads in unconventional plays have shown significant value when they are carefully designed to tackle specific problems or concerns. This includes the use of diagnostics to cross-validate development concepts such as stimulation design, well architecture, frac and well spacing, and numerous other variables. In this paper, it is demonstrated how various diagnostics technologies together with subsurface data can be used to calibrate a frac model. The model can then be coupled with a reservoir simulator to accelerate completions concept select decisions in unconventional plays. This process (a) eliminates multiple field trial costs, (b) tests different completions and stimulation designs, and (c) assists in de-risking various field development planning scenarios. This paper focuses on a real-life case-study where integrated diagnostics and modeling were applied to de-risk multiple completions scenarios. An intermediate planar frac model was calibrated and used to lower the uncertainty of key frac parameters including frac geometry and conductivity. In addition, subsurface parameters such as in-situ stresses and rock properties were tuned. The results from the integrated modeling effort were used to propose future development options for the play.