"$600 million in U.S. shale infrastructure + 2,000 million well-feet drilled = 100s petabytes of relevant data."

Digital Oilfield Outlook Report, GE, Accenture & JuneWarren-Nickles Energy Group, October 2015

Oil & Gas

The Time is Now to Drive Efficiency

Digital transformation is taking place in every industry with remarkable speed and success. The oil and gas industry is no exception and the time is now to take advantage of technology to drive new efficiencies to automate, streamline not only the entire industry but the associated processes that have been up until today, very complex, labor intensive and manual. It’s also true that the oil and gas industry is paper intensive and the documentation required for every step in the process is immense. 


There is a benefit to all sectors of the oil and gas industry – oil sands producer, exploration and production, midstream and downstream or service and supply. Whatever vertical sector you are in the challenge is how to get at the large volumes of data that are in either paper documents or stored digitally in archived databases? Being able to not only access but enrich the historical oil recovery, well drilling, rig, well logs and other corporate documents to optimize production is a major opportunity for oil and gas companies today. The process can be significantly streamlined by accessing the data to make smarter decisions.

With all of these challenges, the move towards digital transformation and “data driven” or “digital oil fields” will enable oil and gas companies to fully utilize historical structured and unstructured data to drive future business decisions. In order for companies to truly benefit, the goal of digital transformation is not to just digitize the data but to use the data to drive actionable intelligence and insight and to inform individuals at all levels of the organization.

Integration is the Key to Data Driven Oil Fields

On the road to digital transformation, organizations need to have a comprehensive approach of not only integrating “inflight” data but all of the historical dark data that is stored electronically. AI Foundry’s solutions can add intelligence to all of this data and make it usable in the day-to-day environment.

Access to geological data such as core samples or seismic data, log data on rig sensors, metering data, drilling mechanics, cybersecurity; various reports including morning reports, HSE reports, various financial and work permits; manuals including equipment configuration and maintenance would be possible with our ECM solution and provide powerful insight into daily activities. 

Another critical component is the ability to streamline and automate various processes in the organization with the use of automated workflows and our BPM solution which will reduce the inefficient and manual processes so common today.

With integration, the data is enriched and transformed into actionable intelligence enabling teams to more accurately analyze trends across the organization and uncover operational risks and bottlenecks. Having the technology, infrastructure and platform for storing and managing both structured and unstructured data will help oil and gas companies in production optimization, HSEE enhancements and better labor utilization and drive real results.

Streamlining Oil & Gas Business Processes Has Its Benefits


91% believe digital technologies are adding value today in the oil and gas industry.


80% plan to invest the same or more in digital technologies over the next 3-5 years.


66% believe analytics represent a very important opportunity to transform their business.

Source: Accenture: The 2016 Upstream Oil & Gas Digital Trends Survey, January 2016.


Integrating and streamlining your processes and reporting across business units can be a time-consuming struggle that impact success. Actionable Intelligence Management solutions from AI Foundry can help empower your organization, streamline processes and inform business tasks. Some examples of where Actionable Intelligence Management (AIM) Solutions can help:

 • Bid Process  • Cost Estimation  • Production Optimization  • Job Requisitions  • Maintenance Procedures