Evaluation of Completion Practices in the STACK Using Completion Diagnostics and Production Analysis

Abstract

Evaluation of completion techniques continues to help in cost reduction and optimization practices. The objective of this project is to evaluate completions within Oklahoma in the STACK (Sooner Trend, Anadarko Basin, and Canadian and Kingfisher counties), comparing several types of technology and optimization methods implemented within this play. Changes to completion practices are driven by cost reduction and production needs. When evaluating a newly implemented technique, a "science well" is often selected to run a multitude of diagnostics to verify the effectiveness of the change. The dataset in this study goes beyond the concept of a single well, or several well analysis, and focuses on approximately 50 wells in this play. Wells are categorized based on completion practices and data was gathered based on completion diagnostics. A macroscopic production analysis was completed to complement the diagnostic results. As with any study of this magnitude, there are several variables to capture and take into consideration while evaluating the diagnostic and production data. Wells in this study are categorized to maximize the number of unchanged variables. Observations were made on the overall stimulation coverage of each treatment interval evaluated, isolation between stages completed, and trends in production. Several examples of diagnostic data are presented as case histories in addition to the categorized data set. The STACK is one of the four most prolific plays currently being drilled and completed in the United States. This is the largest case history published on wells completed in the STACK that utilizes an integrated daily production and diagnostic approach. The dataset and case histories in this paper provide valuable insight for operators and service companies who are completing wells in this play.