Faster and better data driven decision-making and shorter times to first oil and gas top the list of expected benefits that digital technologies can drive for upstream oil and gas companies. In the oil industry, Artificial Intelligence (AI) and Machine Learning (ML) tools have already moved from R&D projects into G&G tool boxes, slowly transforming the subsurface workflow.

We will discuss about cloud platforms and demonstrate how such an integrated platforms provides both the data access and applications required to apply ML at scale with examples that include integration of multi regional datasets.

We will show that such platforms are not only enhancing further creativity and enabling data driven decisions but in addition will shorten time to oil which seems to be the next challenge of the industry.


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  1. PwC
    [2018], | CB Insights MoneyTree™ Report Q4, https://www.pwc.com/us/en/moneytree-report/moneytree-report-q4-2018.pdf
    [Google Scholar]
  2. Accenture
    [2017, Insight-2017-upstream-oil-gas-digital-trends-survey, https://www.accenture.com/us-en/insight-2017-upstream-oil-gas-digital-trends-survey
    [Google Scholar]
  3. Ortigosa, F.
    [2019], Exponential and Disruptive…, DIGEX2019, 30–31January2019, Oslo
    [Google Scholar]

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