The aim of most hydraulic fracturing treatment is to design and implement the best stimulation strategies that help to increase the short and long-term productivity of the stimulated reservoir section. This can be achieved by selecting the best treatment fluid types that are compatible with the formation to achieve the best combination of fracture geometry and well's productivity. The main objective of this study is to investigate the short and long-term wells’ productivity for the different types of hydraulic fracturing treatment fluids in the East Texas Basin Cotton Valley formation.
Two hundred and sixty one Cotton Valley wells were identified and selected for this study. All the wells were horizontal and hydraulically fractured that were completed after 2012. The wells were classified based on the type of hydraulic fracturing fluid into four major groups: gel, water, cross-linked gel, and hybrid fracs. The hydraulic fracturing chemicals were obtained from FracFocus public record database. FracFocus data were processed then combined with production and completion data obtained from DrillingInfo database. Several data workflows were developed to classify the treatment fluid types based on the chemical ingredients of each fracturing treatment.
The productivity in this paper is reported in terms of equivalent barrel of oil which converts every 6 MCF of gas into 1 equivalent barrel of oil. This paper investigates the Cotton Valley initial production (BOE/Day), cumulative 6 months, 1 year, 2 years, and 5 years and compares the productivity for each type of hydraulic fracturing fluids. This work also provides several insights about the wells performance as a function to stimulation parameters such as the amount of pumped proppant, the volume of pumped water, and the length of the perforated horizontal lateral. The normalized production and stimulation parameters to the perforated lateral are also discussed in this paper.
This study discusses several data processing workflows that will help to illustrate the procedures to extract data from FracFocus and DrillingInfo. It provides an understanding of the hydraulic fracturing fluid types’ occurrence and measures the effect of stimulation and completion parameters on the short and long-term productivity.