Playbooks Supplements

Data-Driven Oil Fields 2017

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11 EPMAG.COM | DATA-DRIVEN OIL FIELDS | JANUARY 2017 toxic and combustible gases, a photoionization detector for VOCs at parts per billion levels, a gamma ray sensor for radia- tion, and a meteorological sensor to monitor factors affecting the dispersion and direction of gas plumes, such as wind speed and direction. Meteorological data can be used to develop a visual plume model on a computer loaded with Honeywell's real-time monitoring software, which aids in predicting the spread of a gas leak and planning of additional safety measures. In addition, AreaRAE Pro includes an embedded GPS loca- tion identifi cation, which provides critical information on where a unit is deployed, enabling responders to react to an incident with increased situational awareness. IBM IBM helps companies use and understand technologies. Asset management solutions from IBM are designed to help oil and gas companies enhance operations. IBM Maximo for Oil and Gas builds on IBM Maximo Asset Management to deliver the critical capabilities that oil and gas companies need. These ca- pabilities range from enabling processes that record and store organizational knowledge to providing a consolidated and trusted platform for managing assets—from the smallest tools and parts to the largest production and maintenance facilities. Maximo software also provides Internet of Things solutions necessary to collect valuable knowledge, improve operational effi ciency, and manage and operate mission-critical assets safely and productively, the company said. Microsoft Microsoft technologies are used across resource industries to help improve collaboration, business insight, mobility and business process automation. Microsoft is delivering new form factors and natural user interfaces in products such Surface Hub, HoloLens, Band and Cortana Analytics that are designed to further enhance personal and organizational productivity as well as enable new business models across the full hydrocarbon value chain. The Azure IoT (Internet of Things) platform, including Azure Machine Learning and Streaming Analytics, is designed to create a more intelligent organization by using data streamed from connected sensors and devices for predictive analytics and actionable insight. Machine learning technology has the capability to build models for interactive analysis, reporting and visualizations from both structured and unstructured data spanning on-premises and cloud sources. According to the company's website, Microsoft products enable users to collect, store and analyze "huge volumes of operational data in real time and use those to drive positive outcomes and behaviors." This allows users to "gain a deeper level of understanding of [their] global operations across the fi eld, the plant and the supply chain." Enabled by the Microsoft Azure platform and a large eco- system of IT and operations technology partners, Microsoft is extending the systems that monitor and report on these complex, hazardous and valuable capital assets and using rich data for pre- dictive maintenance and operations optimization, the company said. Microsoft services make this complex data available across AreaRAE Pro's detection capabilities give safety managers in the oil and gas industry real-time critical information via a digital platform and advanced sensing technology. (Photo courtesy of Honeywell) Employees use Windows Tablet for mobile connectivity. (Photo courtesy of Microso ) Employees use Windows Tablet for mobile connectivity.

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