BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Tendenci - The Open Source AMS for Associations//Tendenci Codeba se MIMEDIR//EN BEGIN:VEVENT DESCRIPTION:--- This iCal file does *NOT* confirm registration.\r\nEvent d etails subject to change. ---\r\nhttps://www.spegcs.org/events/1922/\r\n\r \nEvent Title: Digital Energy: Data Mining and Predictive Analytics Transf orms Data to Barrels\r\nStart Date / Time: Apr 18, 2012 11:30 AM US/Centra l\r\nLocation: Courtyard on St James\r\nSpeaker: Shawn Shirzadi\r\nGoogle\ r\nhttp://maps.google.com/maps?q=1885+Saint+James+Pl,Houston,Texas,77056\r \n\r\nForecast\nhttp://www.weather.com/weather/monthly/77056\r\n\r\n\r\n B P&rsquo\;s FIELD OF THE FUTURE Data Analytics program is developing data-d riven technologies that complement existing capabilities for reservoir man agement and operations. Widespread adoption of BP&rsquo\;s proprietary we lls and equipment real time surveillance and monitoring applications provi des efficient workflows that deliver real time data to decision-makers. Data Analytics applications are transforming this data into information th at will improve the management of operational risk, increase production an d maximize both resource recovery and workforce efficiency. This paper de scribes our progress made in the areas of operational risk and increasing production and outlining our future activities. So far we have created dat a-driven corrosion assessment tools and have developed new technology for virtual flow meters. Corrosion assessment is now able to evaluate the eff iciency of our pipeline inspection programs. Following successful proof o f concept and field trials, we will package this capability and deploy it globally as a standard workflow as soon as possible. Data-driven virtual flow meters are being implemented to provide a 3-phase metering capability . Better well and zonal flow allocation will improve reservoir managemen t. Other soft sensors are being developed to create well diagnostic and p rognostic capabilities for BP&rsquo\;s real-time surveillance toolkit. Th is helps assets identify well work and optimization opportunities.Future a ctivities include new predictive technologies to increase recovery and red uce well-integrity risks. We are developing an innovative approach to dia gnose and optimize waterflood performance designated as Top-Down Waterfloo d Diagnostics and Optimization. This novel approach combines BP&rsquo\;s proprietary production event detection and association technology with vis ualization and parametric models that can quantify the subsurface connecti ons between injectors and the producers. Trials have demonstrated that th is complements the conventional waterflood management and optimization wor kflows. In conjunction with other activities, the benefit to operations is derived from improving sweep efficiency in increasing recovery. Use of data mining and predictive analytics for business intelligence has created significant value in finance, medicine, power generation, and other indus tries. BP now has an established, active program to bring the business in telligence approach into its E&\;P operations and particularly to its r eservoir management.\r\n\n\n--- This iCal file does *NOT* confirm registra tion.Event details subject to change. ---\r\n\r\n--- By Tendenci - The Ope n Source AMS for Associations ---\r\n UID:uid1922@spegcs.org SUMMARY:Digital Energy: Data Mining and Predictive Analytics Transforms Data to Barrels DTSTART:20120418T163000Z DTEND:20120418T180000Z CLASS:PUBLIC PRIORITY:5 DTSTAMP:20240328T194038Z TRANSP:OPAQUE SEQUENCE:0 LOCATION:Courtyard on St James X-ALT-DESC;FMTTYPE=text/html: