Geological, Petrophysical and Completions Study For Improved Formation Evaluation and Optimal Well Performance
The Integrated Reservoir Solutions division of Core Laboratories is offering to interested companies participation in a project designed to optimize operators’ exploitation of liquids-rich, Missourian reservoirs in the Texas Panhandle Area and Oklahoma. This project is a follow-up to our highly successful Granite Wash Study of the Desmoinesian section.
Recent activity in the Missourian section has targeted the Cleveland, Checkerboard, Kansas City (Hogshooter), Lansing and Cottage Grove horizons. Initial horizontal wells from the Kansas City or Hogshooter section have produced at rates of 2000 to 5000 BOPD with significant NGL. The project will also entertain core contributions from the Tonkawa. These reservoirs have tremendous reserves and will be drilled for years to come. An integrated study of these reservoirs is warranted and should be directed at geology, formation evaluation and stimulation-production techniques to maximize exploitation. Some of the issues to be addressed in this project include the following:
- What are the factors controlling reservoir quality? Are they depositional facies or diagenetic?
- What are the various reservoir rock types and their petrophysical properties, and how do they vary regionally?
- What are pay recognition criteria and the appropriate water saturation model for the reservoir, and does it change by zone and/or regionally?
- What are the optimal completion and stimulation fluids?
- What is the optimal fracture stimulation design(s) to maximize production?
- How should the reservoirs be produced in order to maximize liquids production?
- Can reservoir quality be correlated or benchmarked to production performance?
These problems can only be solved from the geological, petrophysical and completion/stimulation analysis and evaluation of wells with either conventional cores or rotary sidewall cores. The resultant data can be used to calibrate open-hole logs in order to better predict rock types and petrophysical properties essential for formation evaluation and proper well completion and stimulation designs. The rock types and their measured petrophysical properties can also serve as analogs when evaluating new reservoirs in wildcats or field step outs.