DFIT – The Unconventional Well Test: Theory, Design, and Interpretation
Training Course Description
DFIT – The Unconventional Well Test course will review the theory of fracture-injection/falloff testing, the design of DFITs, and interpretation of DFIT data using both straight-line and type-curve methods. Design and interpretation methods will be illustrated with North American field examples, including horizontal and vertical well DFITs in unconventional reservoirs. Additionally, field case studies will be included to show how DFIT interpretations can be used in production data analysis of wells producing from unconventional reservoirs.
Attendees will learn the basic theoretical foundation of diagnostic fracture-injection/falloff test implementation and analysis along with obtaining guidelines for implementing DFIT in field operations. At course end, and attendee should be comfortable with the following:
- Designing a DFIT
- Implementing a DFIT design in the field
- Interpreting DFIT data using commercially-available software packages
- Using DFIT interpretations in the analysis of production data
The course can be a one-day or two-day course.
All oil and gas professionals working in the development of unconventional reservoirs will encounter DFIT at some point during their career. Since DFIT are the primary well-testing method used in unconventional reservoir development, it is essential to understand the technology, how interpretations are used, and the limitations of a DFIT well test.
Who Should Attend
This course is intended for petroleum, production, completion, and reservoir engineers, geologists and field operation staff who are familiar with the fracturing process and interested in measuring reservoir properties, hydraulic fracturing design, treatment and interpretation, and production data analysis.
Level of Learning
This is an intermediate course. Field guidelines for absolute beginners are provided.
A basic understanding of hydraulic fracturing operations in vertical and horizontal wells is necessary along with a basic understanding of the role of permeability in flow from oil and gas reservoirs.
To receive a full refund, all cancellations must be received in writing no later than 14 days prior to the course start date. Cancellations made after the 14-day window will not be refunded. Send cancellation requests by email to firstname.lastname@example.org; by fax to +1.866.460.3032 (US) or +1.972.852.9292 (outside US); or mail to SPE Registration, PO Box 833836, Richardson, TX 75083.
Dr. David P. Craig is Oxy’s Unconventional Technology Improvement Manager working within the Unconventional Reservoir Technical Support group. Dr. Craig is also the developer of DFITpro.com, which provides cloud-based DFIT analysis tools, and previously, Dr. Craig was a consultant for Reservoir Development Company where he developed a method for identifying the number of producing fractures in a multifractured horizontal well and developed a process for identifying, evaluating, and stimulating bypassed or ineffectively-stimulated zones in oil or gas wells. Dr. Craig earned a BS in Petroleum Engineering from Texas Tech University in 1989, an MS in Petroleum Engineering from Texas A&M University in 1991, and a PhD in Petroleum Engineering from Texas A&M University in 2006.
Dr. Craig has been an in-house consultant for Anadarko Petroleum Corporation between 2012 and 2016, and Dr. Craig worked as a Chief Engineer with Halliburton where he developed reservoir engineering technology and a prototype mathematical model for analyzing complex hydraulic fracture patterns. Dr. Craig is the inventor listed on 10 United States patents or patent applications—5 patents relate specifically to DFIT design, implementation, and interpretation methods. Dr. Craig has also written and presented 14 papers on DFIT technology since 1999.
Dr. Craig was awarded the Henry Matson Technical Service Award from the Denver Section of SPE in "recognition of significant contributions in engineering design and diagnostics of hydraulic fractures," and in 2006 Dr. Craig received the Award of Excellence for Outstanding Research from the Harold Vance Department of Petroleum Engineering at Texas A&M University.