In the complete paper, the authors demonstrate the need to balance optimizing fracture efficiency with effectiveness; present an integrated system for fracturing optimization using real-time and historical data along with organizational knowledge; and discuss the challenges and key considerations of setting up such a system, along with examples of large, untapped potential that can be unlocked with data science.
Introduction
Currently, most third-party fracture-monitoring solutions do not provide a true fracture-optimization platform that goes beyond fracture monitoring and efficiency or cost analytics. Without consideration for creating effective fracture geometries and good stimulation distribution, this may lead to poor resource recovery.
Integrated fiber-optic diagnostics data have also shown that perforation-cluster screenout signatures sometimes can be observed in the surface-treatment data. Historical analysis of surface-treatment data has revealed that perforation-cluster screenout signatures are widely observed in other basins (Fig. 1 above). Cluster screenouts lead to severe nonuniformity in stimulation distribution.
