Sidens hovedinnhold

IBM Centre of Excellence Stavanger

Chemicals & Petroleum

Most people think of IBM as experts in computing. But we also have specialists 
in rock, salt and seawater. Here’s how they’re helping our planet get smarter about managing its oilfields

Tab navigation

Everyone has their own price

That is, the fuel price point that prompts them to change their behaviour...whether it is to drive less, carpool, take mass transit, or resolve to buy a more fuel-efficient car.

In the United Kingdom, fuel prices hit a high this summer, driving the global energy crisis and the need for smarter oil exploration and production front and centre in our collective conscience.

Projected demand for energy is expected to increase by 50% from 2005 to 2030, mainly from developing economies such as China and India. While there is a renewed focus on nuclear, solar and other alternative energies, experts agree that fossil fuels such as oil and gas will remain a significant source of energy for the foreseeable future.

The "easy oil" has been found
Even today, there is a lot that we do not know about the world's petroleum and natural gas reserves. It is estimated that only 33% of oil is pulled from existing reservoirs. How can we improve recovery rates? Where can we find new reservoirs?

These challenges are complicated by the fact that the "easy oil" has been found. Any recently discovered oil and gas fields are in remote, deep locations, such as the large Tupi field 180 miles off the coast of Brazil, 4.5 miles below salt, rock, sand and seawater.

Getting every drop
When you consider that even a modest improvement in oil recovery of 1.5% can yield enough oil on average for a half year of global consumption...it's clear why innovative energy companies are focused on enhancing the oil recovery of existing reservoirs.

Adding intelligence to oilfields
The time is right because the technology is here: the systems that underlie our oilfields are getting much smarter. Advances in deep computing are pushing 3-D seismic modelling into the next generation, enabling scientists to discern fields that previously were invisible. Autonomic sensing technologies and data analytics are being used to improve oil exploration: identify viable reserves, increase the amount of oil being extracted, improve productivity and anticipate problems, minimising risk to people and the environment. Through virtualisation, fields can be monitored remotely, reducing the strain on the workforce.

Contact

If you have questions, simply call Ole Evensen

IBM to Help Oil and Gas Companies

Industry consortium developing integrated environmental monitoring system powered by IBM streaming analytics technology

Case studies

Repsol explored data in Barcelona to find new oil deposits in the Gulf of Mexico

Meet IBM in social media