Using Machine Learning to Identify Remaining Hydrocarbon Potential


Closing Date: February 2nd 2018

Funding Available: Up to £1 million

Are you an expert in sophisticated data analytics? Do you have a machine learning solution? Then get involved with the Digital Transformation 'Call for Ideas'. The 2 Feb is fast approaching.

The Oil & Gas Technology Centre are investing c.£1 million in a portfolio of projects to solve our Digital Transformation challenge.

What's the Call for Ideas all about?
Many oil and gas fields in the Northern North Sea (NNS) are nearing the end of their expected operating lives. If new sources of hydrocarbons are not found, then much of the production infrastructure (e.g. wells, pipelines, risers) may be decommissioned in the near future. There are large volumes of data from NNS oil and gas wells that could lead to new discoveries, but it is often held in different formats and of variable quality and takes time to assess. Traditionally, organising, distilling, screening and assessing data would require a large team of specialists, and there is always a risk of a person missing something or introducing bias into the evaluation.

The Oil & Gas Technology Centre are looking for digital analytics approaches, such as machine learning, that can deliver assessments of structured and unstructured well data quickly and accurately. The aim is to use the available data to identify and classify intervals which may indicate the presence of previously unrecognized or overlooked petroleum accumulations. This would allow the industry to fully evaluate these opportunities and prioritise investment, potentially extending field life and maximising economic recovery.

Further information is available on The Oil & Gas Technology Centre website.