Data collection is rapidly expanding. Incorporating that data into engineering workflows can be confusing, overwhelming, and sometimes misdirected. The diagnostic fracture injection test (DFIT) is used to interpret pressure falloff data, following the injection of fluid at a rate sufficient to create a small-scale hydraulic fracture.  DFIT interpretation yields information on in-situ stress, reservoir fluid flow properties, pore pressure and other petrophysical and geomechanical attributes.  It has been used by the industry for years, and has played a critical role for engineers in their understanding and development of unconventional reservoirs over the past decade. While the test has been widely accepted by the industry as a standard, there are still a number of questions including how to perform the test operationally, and how to interpret and use the data to optimize well treatment designs and assist in reservoir exploitation.

The purpose of this workshop is to investigate and validate best practices, analysis methods and theories.  Additionally, this workshop will identify common issues, both operational and analytical, and determine how to incorporate the data in an existing workflow. 

Attendees of this workshop will gain keen insights on how to properly conduct a DFIT operation and analyze the data, turning the information into useful inputs for optimizing and designing hydraulic fracturing treatments.