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/2163/\r\n\r \nEvent Title: SPEI - Oilfield Data Mining\r\nStart Date / Time: Mar 03, 2 013 06:00 AM America/Chicago\r\nLocation: The Woodlands Waterway Marriott Hotel\r\nSpeaker: Shahab D. Mohaghegh\r\nGoogle\r\nhttp://maps.google.com/ maps?q=1601+Lake+Robbins+Drive,The Woodlands,Texas,77380\r\n\r\nForecast\n http://www.weather.com/weather/monthly/77380\r\n\r\nDescription\r\n\r\n\r\ nThis 2-day course examines the successful application of Artificial Intel ligence and Data Mining (AI&\;DM) in the E&\;P industry in the past several years. It will start with the fundamentals of AI&\;DM, covering artificial neural networks, evolutionary computing, and fuzzy logic. The course is devoted to field application of this technology with focus on pr oduction optimization and recovery enhancement.\r\nLearning objectives:\r\ n\r\n Provide engineers and geoscientists with an alternative (new and inn ovative) set of tools and techniques to solve E&\;P related problems\r\ nIdentify remaining reserves and sweet spots in reservoirs as a function o f time and different field development strategies\r\nOptimize stimulation and workover design and effectiveness by coupling reservoir characteristic s with stimulation practices and forecasting stimulation outcome\r\nTap in to the hidden and usually unrealized potentials of numerical reservoir sim ulation models\r\nQuantify uncertainties associated with geological models and other parameters used in modeling production optimization and recover y enhancement\r\n\r\n\r\n\r\n\r\nWhy You Should Attend\r\n\r\n\r\nArtifici al Intelligence is a collection of several analytical tools that attempts to mimic life. This technology is used extensively in other industries suc h as automation, manufacturing, the financial market, and homeland securit y. It has been predicted that the use of AI technology will introduce a st ep-change in how E&\;P industry does business in the future.\r\n\r\n\r\ n--- This iCal file does *NOT* confirm registration.Event details subject to change. ---\r\n\r\n--- By Tendenci - The Open Source AMS for Associatio ns ---\r\n UID:uid2163@spegcs.org SUMMARY:SPEI - Oilfield Data Mining DTSTART:20130303T120000Z DTEND:20130304T230000Z CLASS:PUBLIC PRIORITY:5 DTSTAMP:20240329T003404Z TRANSP:OPAQUE SEQUENCE:0 LOCATION:The Woodlands Waterway Marriott Hotel X-ALT-DESC;FMTTYPE=text/html:
This 2-day course examines the successf ul application of Artificial Intelligence and Data Mining (AI&\;DM) in the E&\;P industry in the past several years. It will start with the fu ndamentals of AI&\;DM, covering artificial neural networks, evolutionar y computing, and fuzzy logic. The course is devoted to field application o f this technology with focus on production optimization and recovery enhan cement.
Learning objectives:
Art ificial Intelligence is a collection of several analytical tools that atte mpts to mimic life. This technology is used extensively in other industrie s such as automation, manufacturing, the financial market, and homeland se curity. It has been predicted that the use of AI technology will introduce a step-change in how E&\;P industry does business in the future.
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