大数据及人工智能技术的崛起推动了数智流体力学的快速发展. 数智流体力学是将流体力学,
大数据和人工智能相结合, 以流体力学场景需求为导向, 形成以“数” 为基础, 以“智” 为核心 …

The growth of big data and artificial intelligence technologies has driven the rapid
development of digital intelligence fluid mechanics. Digital intelligence fluid mechanics …

Recent progress in machine learning and big data not only forms a new research paradigm,
but also provides opportunity to solve grand challenges in fluid mechanics. Following the …

Experimental observation, theoretical research and numerical simulation are the basic
research paradigms in many disciplines, including fluid mechanics. Since the 21st century …

The significant growth of artificial intelligence (AI) methods in machine learning (ML) and
deep learning (DL) has opened opportunities for fluid dynamics and its applications in …

The advancement in big data and artificial intelligence has enabled a novel exploration
mode for the study of petroleum engineering. Unlike theory-based solution methods, the …

This chapter introduces typical cases of artificial intelligence and big data application in oil
and gas industry. In the upstream field, it introduces how to combine digital rock physics with …

Pressure transient analysis provides essential information to evaluate the dimensions of
injection induced fractures, permeability damage near the wellbore, and pressure elevation …

Digitalization and intelligence are attracting increasing attention in petroleum engineering.
Amounts of published research indicates modern data science has been applied in almost …

It is difficult to determine the main control factors owing to the complex geological conditions
of heavy oil reservoirs, including high viscosity, a wide range of variation of crude oil, and …