How are you using
your big data?








Oil & Gas companies are facing the challenge
of obtaining insight from enormous amounts
of data to make better decisions.


80K

Sensors in a
single platform

300K

Publications
yearly

2TB

Data generated
daily

80K




Sensors in a single platform

300K




Publications yearly

2TB




Data generated daily




How are you planning to keep up and stay ahead of major
disruptions in the Oil & Gas industry?






High development
costs

Rising HSSE
considerations



Energy price
collapse

Reserve replenishment
and exploration
challenges




Scale, accelerate and enhance human expertise with a partnership between
people and computers that can help you turn big data into insights and
accelerate your digital transformation journey.



Click the character to see their journey






Cognitive analytics solutions can help you keep up and stay ahead of the
major challenges that the Oil & Gas industry is facing today.







83%

Oil & Gas executives believe cognitive computing will have critical impact on the future of
their business

91%

industry decision makers are likely to invest in cognitive computing in the future2

Watson is able to...

So users can...



Cognitive analytics solutions can help you keep up and stay ahead of the major challenges that the Oil & Gas industry is facing today.





83%

Oil & Gas executives believe cognitive computing will have critical impact on the future of
their business



91%

industry decision makers are likely to invest in cognitive computing in the future2

Watson is able to...


So users can...



Suresh – 46

Exploration Geologist



Responsibilities:

  • shapes the firm’s exploration portfolio
  • provides the best value for opportunities
    and prospects






Wants:

  • to find and assess the location, quality and quantity of hydrocarbon deposits before considering an acquisition
  • to analyze historical data and locate relevant lessons learned from previous well delivery projects
  • an understanding of political, commercial and legal risks of entering new territories






Challenges:

  • locating, extracting and understanding insights from multiple sources








How can IBM Watson interpret data for Suresh?


During planning, it can gather information about well request, characteristics and geology, and it can identify relevant projects


During drilling, but also when facing challenges that require immediate action, it can explore historical data to offer “best course of action”


It can identify analogue fields based on information from structured and unstructured data


It can extract and provide relevant information based on industry terminology in multiple languages








Nina – 42

Reservoir Engineer



Responsibilities:

  • design field development plan for maximum recovery of product
  • evaluate and update reservoir models






Wants:

  • to identify possible improvements for current strategies
  • to understand reservoir characteristics, challenges and opportunities
  • to identify new processes and relevant technologies for improving recoverable resources






Challenges:

  • identifying and interpreting unstructured data related to specific field events
  • understand and access analogous reservoirs








How can IBM Watson sustain Nina’s efforts?


It can enhance and accelerate recovery by identifying, assessing and recommending relevant processes and technologies


It can identify, gather and expose insight from historical unstructured data, across disciplines
















Jason – 50

Production Engineer



Responsibilities:

  • optimize production from reservoir to sales point
  • investigate and address daily production shortfalls






Wants:

  • to ensure that all production facilities and wells are running efficiently and predictably
  • to access accurate live data and historical information in order to realize subsurface potential






Challenges:

  • coordinating activities across disciplines, while managing the complex ecosystem of project requirements








How can IBM Watson work for Jason?


It can improve planning and risk assessment by exploring lessons learned in projects


It can provide early warnings and best contingency options, based on analysis of project correspondence and reports


It can detect root causes of production shortfalls, by exploring operational data, reports and lessons learned


It can improve existing or specify new facilities, by learning from historical challenges