DSDE: Features

While both are raw resources, data is reusable. A CERAWeek panel said infrastructure and cultural change are needed to drive the transformative value of data.

HSE data is ever growing, especially in high-risk industries. So, how can you apply data science and artificial intelligence to help see beyond current practices and gain even greater insights into safety data?

High-performance computing is an important piece of the puzzle for operators looking to integrate field models with surface facilities. Next-generation processors and accelerators should help build the systems needed to meet industry's growing demands, but the tools may be reaching their limits.

The ecosystem in which an algorithm must live in order to deliver value must be viewed as a whole. The algorithm can be viewed like a car’s engine. It’s rather important, but it’s not a car yet.

Digitalization leads oil and gas research and development investment priorities, according to DNV’s 2019 annual outlook.

The need to optimize tank turnaround schedules is as great as it has ever been within the midstream sector, but traditional human-based tank inspections often cut into uptime while introducing safety risks. New robotic applications aim to alleviate these issues.

Cataloging data can be a minefield, and not knowing exactly what you can do with the data you have could lead to disaster. What steps should companies take to handle legacy data, and what importance does the tracking of entitlements play in data management systems?

A survey of oil and gas decision-makers by Ernst & Young sheds light on how companies are formulating their digital strategies.  

Blockchain technology may have gotten its start by keeping cryptocurrency traders honest, but its usefulness is expanding. And the oil and gas industry is taking advantage.

To test your knowledge, answer these 10 questions from Jim Crompton, who teaches petroleum data analytics at the Colorado School of Mines.