JULY 2016CIOAPPLICATIONS.COM9some of our suppliers to ensure they are getting the right data so they can properly support our projects and drilling and completions activities. We have identified key data types and are focusing on them to improve our productivity. Our efforts are paying off."Hess has adopted exception-based-surveillance at its well sites in North Dakota to support human supervision. Using improved field communications, data acquisition and standard work practices, the company is able to identify in real time exceptions to previously defined operations patterns and respond to them immediately."We are changing the way people work, and technology is key to that change," she says. In the not too distant past, for example, Hess employees drove routes in territories across the state, regularly visiting well sites to verify they were operating well. Mostly, they would arrive at a site, find it fully operational and problem free and drive on to the next site.Using exception-based surveillance gives Hess the opportunity to provide services just in time and to be significantly more proactive. Employees are alerted to and then focus on equipment that needs work--a system that is more efficient and which requires less road-time, is safer, more cost effective and more responsive to the needs of Hess operations. "Our IT goal is to support an agile, efficient and smart business," says Golodryga, who was named among the Top 50 Most Powerful Women in Oil and Gas by the Oil & Gas Diversity Council in 2014 and 2015. "We are agile because we work together with service providers so that commodity IT is taken care of as a service. Then, we can focus on providing efficiency improvements such as exception-based surveillance and Lean techniques that lead to waste reduction and productivity improvements through automation and other activities.""Smart business is probably the most interesting one. That's where big data and analytics come to play," she says.Golodryga sees a future where desktop and network expertise is commoditized and IT technologists are data scientists who combine their understanding of the business and its technology to drive improvements in such areas as data visualization and predictive analytics that pave the way for cognitive computing or artificial intelligence. "This is where we have a huge opportunity to take IT and our business to the next level," she says. "This is where we can use big data and cognitive and machine learning to reduce cycle time. "We know in our business that the time from discovery to first oil in deep water is between 15 and We are making data-driven decisions, a leap forward from making decisions based on perceptions, exceptions or personal points of viewZhanna Golodryga17 years. By applying cognitive technology and machine learning, we know we can make higher quality decisions faster on the basis of targeted data analysis of vast quantities of data which will significantly reduce overall cycle time at various points along the timeline. "That is breakthrough change," Golodryga says."Change can be both disruptive and transformative for an organization. It requires a different mindset--a belief that computers and data can advise you on what good looks like, no matter where in the world or in which basin you may be." Human skill and experience will always matter, she says. "But through technology we have an opportunity to improve all aspects of our business by using data and metrics that eliminate outliers and focus on possibilities."
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