Effect of fracturing chemicals on well productivity: Avoiding pitfalls in big data analysis

Effect of fracturing chemicals on well productivity: Avoiding pitfalls in big data analysis

Additives

Gasoline

Big data

Fracture

Chemical analysis

Productivity

A statistically rigorous assessment of the effect of fracturing treatment chemical additives on well productivity was performed. The dataset for analysis consisted of over 4,500 slickwater-treated wells in the lower 48 US states. All wells were treated by a single service company within a 5-year period. The analysis focused on two distinct additives, namely, linear guar gels and surfactant-based flowback AIDS, in slickwater treatments. A method and workflow to quantify the effects of completion parameters on well productivity were developed in this work. The statistical t-test was used to assess the statistical significance of differences in aggregated production metrics between datasets based on the observation that production data were distributed log-normally. The proposed workflow addresses many common issues a reservoir engineer faces during data sourcing, preprocessing, evaluation, and interpretation and further highlights the importance of proper statistical approaches. The analysis results emphasize the benefits of proper job design even in relatively simple slickwater treatments. 2018, Society of Petroleum Engineers.

2018-February

Khvostichenko, Daria

Makarychev-Mikhailov, Sergey

SPE International Conference and Exhibition on Formation Damage Control 2018, February 7, 2018 - February 9, 2018

2018

conferencePaper

10.2118/189551-ms

http://dx.doi.org/10.2118/189551-ms