multiphase flow

This investigation of fluid flow and particles movement uses a coupled CFD/DEM modeling approach to provide new insights into the multiscale mechanism of sand production.

Fundamental research conducted to derive a transport model for ideal and partitioning tracers in porous media with two-phase flow that will allow fast and efficient characterization and selection of the correct tracer to be used in field applications.

This work presents an integrated multiphase flow model for downhole pressure predictions that produces relatively more-accurate downhole pressure predictions under wide flowing conditions while maintaining a simple form.

This paper discusses a new type of mechanical gas separator for electrical submersible pump systems that increases operating flow range and separation efficiency while decreasing erosion problems and improving reliability.

In this paper, the authors present data analyses to comprehensively evaluate the performance of a steady-state multiphase-flow point model in predicting high-pressure, near-horizontal data from independent experiments.

Rate transient analysis has been challenged in every sense of the word when it comes to tight reservoirs. An ongoing joint industry project aims to turn that around.

Integrating physics and machine learning combines the best of the two worlds, resulting in higher accuracy, better scalability, and cost efficiency.

The downtime of manufacturing machinery, engines, or industrial equipment can cause an immediate loss of revenue. Reliable prediction of such failures using multivariate sensor data can prevent or minimize the downtime. With the availability of real-time sensor data, machine-learning and deep-learning algorithms can learn the normal behavior of the sensor systems, dis…