We present a research study aimed at testing of applicability of machine learn-ing
techniques for permeability prediction. We prepare a training set containing. 3D scans of …

Abstract Multi-fidelity Data Fusion (MDF) frameworks have emerged as a prominent
approach to producing economical but accurate surrogate models for aerodynamic data …

We describe GTApprox—a new tool for medium-scale surrogate modeling in industrial
design. Compared to existing software, GTApprox brings several innovations: a few novel …

Turbine cooling is an effective way to improve the comprehensive performance and service
life of gas turbines. In recent decades, there has been rapid growth in research into external …

In this paper, we present a data-driven model for forecasting the production increase after
hydraulic fracturing (HF). We use data from fracturing jobs performed at one of the Siberian …

This paper presents a data assimilation method based on the POD-DeepONet structure to
fuse two types of fidelity data from vortex-induced vibration (VIV) problems. The data is …

在风洞试验模型表面布置测压孔是获得表面压力分布的重要手段, 但受限于空间位置和试验成本
, 通常难以在复杂模型表面布置足量的测压孔获得完整的表面压力分布信息 …

Engineers widely use Gaussian process regression framework to construct surrogate
models aimed to replace computationally expensive physical models while exploring design …

The real-world environment is intensively moving towards computer simulation models with
growing computational resources and efficient numerical algorithms. Aircraft flight simulation …

We develop a data-driven model, introducing recent advances in machine learning to
reservoir simulation. We use a conventional reservoir modeling tool to generate training set …