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/2863/\r\n\r \nEvent Title: C&P: SPE 2014-15 DL Dr. Xiao-Hui Wu: How to Predict Reservo ir Performance with Subsurface Uncertainty at Multiple Scales\r\nStart Dat e / Time: Mar 18, 2015 11:30 AM US/Central\r\nLocation: Greenspoint Club\r \nSpeaker: Xiao-Hui Wu, Ph.D., SPE 2014-15 Distinguished Lecturer\r\nGoogl e\r\nhttp://maps.google.com/maps?q=16925+Northcase+Drive,Houston,Texas,770 60\r\n\r\nForecast\nhttp://www.weather.com/weather/monthly/77060\r\n\r\n \ r\nSubsurface uncertainty is one of the main challenges in using reservoir models to predict field performance for development and depletion plannin g purposes. The importance of reliable characterization of subsurface unce rtainty and its impact on reservoir performance predictions is increasingl y recognized as essential to robust decision making in the upstream indust ry, which is especially true for large projects in complex geologic settin gs. However, despite recent advances in reservoir modeling and simulation, reliable quantification of the impact of subsurface uncertainty remains d ifficult in practice. Many factors lead to this state of affair\; technica lly, a fundamental difficulty is that reservoir heterogeneity at multiple scales may have strong effect on fluid flows. This lecture presents an ana lysis of the challenge and possible resolutions. Indeed, relying on comput ing power alone may not address the challenge. Instead, we must look at re servoir modeling and performance prediction holistically, from modeling ob jectives to appropriate techniques of incorporating reservoir heterogeneit y into the models. We present a goal-driven and data-driven approach for r eservoir modeling with the theoretical reasoning and numerical evidence be hind them, including real field examples. The one idea that participants o f this lecture should take away is that appropriate parameterization of mu lti-scale reservoir heterogeneity that is tailored to the business questio ns at hand and available data are essential for addressing the challenge o f subsurface uncertainty.--- This iCal file does *NOT* confirm registratio n.Event details subject to change. ---\r\n\r\n--- By Tendenci - The Open S ource AMS for Associations ---\r\n UID:uid2863@spegcs.org SUMMARY:C&P: SPE 2014-15 DL Dr. Xiao-Hui Wu: How to Predict Reservoir Performance with Subsurface Uncertainty at Multiple Scales DTSTART:20150318T163000Z DTEND:20150318T180000Z CLASS:PUBLIC PRIORITY:5 DTSTAMP:20240328T180453Z TRANSP:OPAQUE SEQUENCE:0 LOCATION:Greenspoint Club X-ALT-DESC;FMTTYPE=text/html:
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Subsurface uncertainty is o ne of the main challenges in using reservoir models to predict field perfo rmance for development and depletion planning purposes. The importance of reliable characterization of subsurface uncertainty and its impact on rese rvoir performance predictions is increasingly recognized as essential to r obust decision making in the upstream industry, which is especially true f or large projects in complex geologic settings. However, despite recent ad vances in reservoir modeling and simulation, reliable quantification of th e impact of subsurface uncertainty remains difficult in practice. Many fac tors lead to this state of affair\; technically, a fundamental difficulty is that reservoir heterogeneity at multiple scales may have strong effect on fluid flows. This lecture presents an analysis of the challenge and pos sible resolutions. Indeed, relying on computing power alone may not addres s the challenge. Instead, we must look at reservoir modeling and performan ce prediction holistically, from modeling objectives to appropriate techni ques of incorporating reservoir heterogeneity into the models. We present a goal-driven and data-driven approach for reservoir modeling with the the oretical reasoning and numerical evidence behind them, including real fiel d examples. The one idea that participants of this lecture should take awa y is that appropriate parameterization of multi-scale reservoir heterogene ity that is tailored to the business questions at hand and available data are essential for addressing the challenge of subsurface uncertainty.
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