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/1789/\r\n\r \nEvent Title: SPEI - Oilfield Data Mining\r\nStart Date / Time: Oct 29, 2 011 08:00 AM US/Mountain\r\nLocation: SPE Annual Technical Conference and Exhibition\r\nSpeaker: Shahab Mohaghegh\r\n\r\n REGISTER NOW: http://www. spe.org/training/courses/POA.php\r\n\r\n \r\n\r\n \r\n \r\n Descriptio n\r\n \r\n \r\n \r\n This short course will start with the fundamentals of Artificial Intelligence and Data Mining (AI&\;DM) covering artifici al neural networks, evolutionary computing, and fuzzy logic. The course is devoted to field application of this technology with focus on production optimization and recovery enhancement.\r\n \r\n Artificial Intelligence is a collection of several analytical tools that attempts to mimic life. This technology is used extensively in other industries such as automation and manufacturing, financial market and home land security. It has been p redicted that use of AI technology will introduce a step change in how E&a mp\;P industry does business in the future.\r\n \r\n This short course examines the successful application of AI&\;DM in the E&\;P industry in the past several years. These applications include Modeling and Optim ization of Stimulation Designs and Practices and Identification of Candida te Wells, Reservoir Characterization, Optimization of Drilling Operations, New Workflows for Reservoir Simulation and Modeling that provide fast scr eening of the reservoir for identification of remaining reserves and optim um infill locations.\r\n \r\n Topics Covered\r\n \r\n \r\n Artifi cial Intelligence &\; Data Mining\; an overview\r\n \r\n Artificia l Neural Networks, Evolutionary Computing and Fuzzy Logic\r\n \r\n Fi eld Applications &\; Hands on exercises\r\n \r\n Empirical Modelin g and Optimization of Stimulation Practices\r\n \r\n Best Practices A nalysis and Well Candidate Selection\r\n \r\n Top-Down, intelligent R eservoir Modeling\r\n \r\n Fast screening of alternative field develo pment strategies.\r\n \r\n Identification of Remaining Reserves and S weet Spots as a function of time and Optimum Infill Locations.\r\n \r\n Identification of Underperformer Wells.\r\n \r\n Surrogate Reservo ir Modeling\r\n \r\n Replication of the results of numerical simulati on models in seconds.\r\n \r\n Unleashing the true potential of reser voir simulation models.\r\n \r\n Quantification of uncertainties usin g Monte Carlo Simulation method.\r\n \r\n \r\n \r\n \r\n \r\n Learn ing Objectives\r\n \r\n \r\n \r\n \r\n Providing engineers and geoscientists with an alternative (new and innovative) set of tools and te chniques to solve E&\;P related problems.\r\n \r\n Identifying r emaining reserves and sweet spots in reservoirs as a function of time and different field development strategies.\r\n \r\n Optimizing stimula tion and workover design and effectiveness by coupling reservoir character istics with stimulation practices and forecasting stimulation outcome.\r\n \r\n Tapping into the hidden and usually unrealized potentials of numerical reservoir simulation models.\r\n \r\n Quantifying uncerta inties associated with geological models and other parameters used in mode ling production optimization and recovery enhancement.\r\n \r\n \r\n \r \n \r\n \r\n \r\n Who Should Attend\r\n \r\n \r\n \r\n This c ourse is designed for reservoir, completion and production engineers of op erating companies as well as service company personnel involved with plann ing, completion and operating wells.\r\n \r\n \r\n \r\n \r\n \r\n C EUs\r\n \r\n \r\n \r\n 1.6 CEUs (Continuing Education Units/8 hours ) awarded for this 2-day course\r\n \r\n \r\n\r\n\n\n--- This iCal file d oes *NOT* confirm registration.Event details subject to change. ---\r\n\r\ n--- By Tendenci - The Open Source AMS for Associations ---\r\n UID:uid1789@spegcs.org SUMMARY:SPEI - Oilfield Data Mining DTSTART:20111029T140000Z DTEND:20111030T230000Z CLASS:PUBLIC PRIORITY:5 DTSTAMP:20240319T145127Z TRANSP:OPAQUE SEQUENCE:0 LOCATION:SPE Annual Technical Conference and Exhibition X-ALT-DESC;FMTTYPE=text/html:
This short course will start with the fundamentals of A rtificial Intelligence and Data Mining (AI&\;DM) covering artificial ne ural networks, evolutionary computing, and fuzzy logic. The course is devo ted to field application of this technology with focus on production optim ization and recovery enhancement.
Artificial Intelligence is a collection of several analytical tools that attempts to mimic life. This technology is used extensively in other industries such as automation and manufacturing, financial market and home land security. It has been predi cted that use of AI technology will introduce a step change in how E&\; P industry does business in the future.
This short course exa mines the successful application of AI&\;DM in the E&\;P industry in the past several years. \; These applications include Modeling and Op timization of Stimulation Designs and Practices and Identification of Cand idate Wells, Reservoir Characterization, Optimization of Drilling Operatio ns, New Workflows for Reservoir Simulation and Modeling that provide fast screening of the reservoir for identification of remaining reserves and op timum infill locations.
This course is designed for reservoir, completion and production engin eers of operating companies as well as service company personnel involved with planning, completion and operating wells.
1.6 CEUs (Continuing Education Units/8 hours) awarded for t his 2-day course