在整篇论文中，作者证明了平衡优化压裂效率和有效性的必要性；提出一个使用实时和历史数据以及组织知识进行压裂优化的集成系统；并讨论建立这样一个系统的挑战和关键考虑因素，以及可以通过数据科学释放的巨大的、未开发的潜力的例子。
目前，大多数第三方断裂监测解决方案不提供超越断裂监测和效率或成本分析的真正断裂优化平台。如果不考虑创建有效的裂缝几何形状和良好的增产分布，这可能会导致资源回收率较差。
集成光纤诊断数据还表明，有时可以在表面处理数据中观察到穿孔簇筛选特征。对地表处理数据的历史分析表明，在其他盆地中广泛观察到射孔簇筛分特征（上图 1）。集群筛选导致刺激分布严重不均匀。
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.
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.
