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/1639/\r\n\r \nEvent Title: SPEI: Oilfield Data Mining\r\nStart Date / Time: Apr 17, 20 11 09:00 AM US/Central\r\nLocation: The Woodlands Waterway Marriott Hotel and Convention Center\r\nSpeaker: Shahab D. Mohaghegh\r\nGoogle\r\nhttp:// maps.google.com/maps?q=1601+Lake+Robbins+Drive,The Woodlands,TX,77380\r\n\ r\nForecast\nhttp://www.weather.com/weather/monthly/77380\r\n\r\n\r\n \r\n REGISTER NOW: http://www.spe.org/career/educ_training/tc/ODM.php\r\n \r \n Course Details\r\n \r\n A laptop is required.\r\n \r\n \r\n Provid ing engineers and geoscientists with an alternative (new and innovative) s et of tools and techniques to solve E&\;P related problems.\r\n \r\n Identifying remaining reserves and sweet spots in reservoirs as a functio n of time and different field development strategies.\r\n \r\n Optimizi ng stimulation and workover design and effectiveness by coupling reservoir characteristics with stimulation practices and forecasting stimulation ou tcome.\r\n \r\n Tapping into the hidden and usually unrealized potentia ls of numerical reservoir simulation models.\r\n \r\n Quantifying uncer tainties associated with geological models and other parameters used in mo deling production optimization and recovery enhancement.\r\n \r\n \r\n In tended Audience\r\n \r\n This course is designed for reservoir, completio n and production engineers of operating companies as well as service compa ny personnel involved with planning, completion and operating wells.\r\n \ r\n Course Description\r\n \r\n This short course will start with the fu ndamentals of Artificial Intelligence and Data Mining (AI&\;DM) coverin g artificial neural networks, evolutionary computing, and fuzzy logic. The course is devoted to field application of this technology with focus on p roduction optimization and recovery enhancement.\r\n \r\n Artificial Inte lligence is a collection of several analytical tools that attempts to mimi c life. This technology is used extensively in other industries such as au tomation and manufacturing, financial market and home land security. It ha s been predicted that use of AI technology will introduce a step change in how E&\;P industry does business in the future.\r\n \r\n This short c ourse examines the successful application of AI&\;DM in the E&\;P in dustry in the past several years. These applications include Modeling and Optimization of Stimulation Designs and Practices and Identification of C andidate Wells, Reservoir Characterization, Optimization of Drilling Opera tions, New Workflows for Reservoir Simulation and Modeling that provide fa st screening of the reservoir for identification of remaining reserves and optimum infill locations.\r\n \r\n Topics covered include the following: \r\n \r\n \r\n Artificial Intelligence &\; Data Mining\; an overview \r\n \r\n Artificial Neural Networks, Evolutionary Computing and Fuzzy Logic\r\n \r\n Field Applications &\; Hands on exercises\r\n \r\n Empirical Modeling and Optimization of Stimulation Practices\r\n \r\n Best Practices Analysis and Well Candidate Selection\r\n \r\n Top-Down, intelligent Reservoir Modeling\r\n \r\n Fast screening of alternative field development strategies.\r\n \r\n Identification of Remaining Rese rves and Sweet Spots as a function of time and Optimum Infill Locations.\r \n \r\n Identification of Underperformer Wells.\r\n \r\n Surrogate R eservoir Modeling\r\n \r\n Replication of the results of numerical simu lation models in seconds.\r\n \r\n Unleashing the true potential of res ervoir simulation models.\r\n \r\n Quantification of uncertainties usin g Monte Carlo Simulation method.\r\n \r\n \r\n CEUs\r\n \r\n 1.6 CEUs (C ontinuing Education Units/8 hours) awarded for this 2-day course.\r\n \r\n Cancellation Policy\r\n \r\n A fee equal to 25% of the course fee will be charged for cancellations less than 15 working days before the course b egins. No refunds will be made for cancellations after the course begins.\ r\n \r\n \r\n \r\n For more details, please contact us at trainingcours es@spe.org\r\n\r\n\n\n\r\n Check registration page for regular and late re gistration fees.\r\n--- This iCal file does *NOT* confirm registration.Eve nt details subject to change. ---\r\n\r\n--- By Tendenci - The Open Source AMS for Associations ---\r\n UID:uid1639@spegcs.org SUMMARY:SPEI: Oilfield Data Mining DTSTART:20110417T140000Z DTEND:20110418T220000Z CLASS:PUBLIC PRIORITY:5 DTSTAMP:20240329T142034Z TRANSP:OPAQUE SEQUENCE:0 LOCATION:The Woodlands Waterway Marriott Hotel and Convention Center X-ALT-DESC;FMTTYPE=text/html:
A laptop is required.
This course is designed for reservoir, completion and production engineers of operating companies as w ell as service company personnel involved with planning, completion and op erating wells.
This short course will start with the fundamentals of Artificial Intellig ence and Data Mining (AI&\;DM) covering artificial neural networks, evo lutionary computing, and fuzzy logic. The course is devoted to field appli cation of this technology with focus on production optimization and recove ry enhancement.
Artificial Intelligence is a collection of seve ral analytical tools that attempts to mimic life. This technology is used extensively in other industries such as automation and manufacturing, fina ncial market and home land security. It has been predicted that use of AI technology will introduce a step change in how E&\;P industry does busi ness in the future.
This short course examines the successful a pplication of AI&\;DM in the E&\;P industry in the past several year s. \; These applications include Modeling and Optimization of Stimulat ion Designs and Practices and Identification of Candidate Wells, Reservoir Characterization, Optimization of Drilling Operations, New Workflows for Reservoir Simulation and Modeling that provide fast screening of the reser voir for identification of remaining reserves and optimum infill locations .
1.6 CEUs (Continuing Educat ion Units/8 hours) awarded for this 2-day course.
A fee equal to 25% of the course fee will be charged f or cancellations less than 15 working days before the course begins. No re funds will be made for cancellations after the course begins.