Fugro Wins Contest With Machine-Learning Model for Pile-Driving Prediction
Using the supplied data set of cone penetration test results, competing teams had to predict the number of hammer blows required to drive the pile a given unit of depth in the North Sea.
Data-Driven Methods Present Potential for Success
Data-driven methods offer significant advantages in the industry, under certain conditions, over conventional methods. But reservations still exist about their use. The paper serves to bridge the gap between unclear understanding of these methods and their successful acceptance and implementation.
Designing Subsea Systems for Efficient Startup To Mitigate Topside Downtime
The workflow aims to reduce the startup time of a subsea production system (SPS). A dynamic integrated model is used to adjust the scheduled SPS startup time. The model evaluates the dynamic simulation response of a large field startup by integrating a reservoir- and gathering-network model.
Hydrate-Induced Vibration in an Offshore Pipeline
A computational fluid dynamics model is proposed to analyze the effect of hydrate flow in pipelines using multiphase-flow-modeling techniques. The results will identify the cause of pipeline failure, regions of maximum stress in the pipeline, and plastic deformation of the pipeline.
Don't miss out on the latest technology delivered to your email every two weeks. Sign up for the OGF newsletter. If you are not logged in, you will receive a confirmation email that you will need to click on to confirm you want to receive the newsletter.
27 January 2020
05 February 2020
28 January 2020
29 January 2020