Oil Companies Must Learn To Share
Like a fast-declining oil well, the value of propriety software is short-lived. Technological advances drive down the value of programs, many of which were never unique.
Data as the New Oil: Parallels and Contrasts
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.
Collaboration Redefines the Human/Robot Relationship
Robots have been a part of industrial production for decades, but the interface between humans and robots has changed as automation technologies increased in complexity, scope, and scale. Once a novelty, collaborative robots are projected to become a significant element of the automation landscape.
Artificial Intelligence Can Help Optimize HSE Strategy
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?
The Processing Problem: Can Computers Keep Up With Industry Demand?
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 of Machine Learning Is Much Larger Than Algorithms
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 Tops 2019 Industry Investment Survey
Digitalization leads oil and gas research and development investment priorities, according to DNV’s 2019 annual outlook.
Robots Can Make Tank Inspections Safer and Cheaper
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.
Entitlements and Cataloging: The Challenges of Managing Seismic Data
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?
How Are Oil and Gas Firms Approaching Digital Investment, Implementation?
A survey of oil and gas decision-makers by Ernst & Young sheds light on how companies are formulating their digital strategies.
Blockchain Stretches Into the Oil Patch
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.
Visualization and the Cloud: Enabling Collaborative Environments
Digital solutions that have made their mark in other industries may foster stronger collaborative environments in various sectors within energy, including equipment maintenance and data management.
Finding Meaning, Application for the Much-Discussed Digital Twin
An increasingly buzzy term tossed around at industry events, “digital twin” is leveraging data analytics, machine learning, and artificial intelligence to improve efficiencies from design to decommissioning.
The New World of Data Science and Digital Engineering: the Hype, the Hope, and the Reality
This new publication intends to cover the hype, the hope, and the reality of data science and digital engineering. We want to educate about new emerging digital technologies, but we also want to talk about the other hard issues that are preventing us from moving faster.
The Digital Future of E&P Can Lead to Data-Driven Anxiety
The constant talk about the data-driven future of the oil and gas business poses a threatening question for some petroleum engineers: What do I need to know to ensure I have a job next year?
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28 February 2019
28 February 2019
22 February 2019