Abstract

This paper is a continuation of SPE 138277, which studied a database of microseismic data and compared the information with net pressure. This second phase focuses on creating a completion tool that provides completion and stimulation designers a better guideline to generate quality or effective design.

The data was clustered using Self-Organizing Mapping (SOM) techniques to associate treatments with similar characteristics. These techniques included proppant type, injection rate, volume of frac fluid and proppants, perforation interval spacing and other key factors that shape a completion design to effectively stimulate a targeted volume of shale reservoir rock.

The completion workflow was developed through several data-mining techniques while using sound engineering observations. SPE 138277 unveiled the theory of "Managed Fracture Complexity" by illustrating the impact of perforation spacing on stimulated reservoir volume in principally isotropic shale such as Barnett. This paper will extend that concept toward creating an optimized design.

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