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/2997/\r\n\r \nEvent Title: SPE-GCS Young Professionals: Lessons Learned from Data Mini ng in Unconventional Reservoirs\r\nStart Date / Time: Sep 22, 2015 11:00 A M US/Central\r\nLocation: Houston Technology Center\r\nSpeaker: Randal F. (Randy) LaFollette\r\nGoogle\r\nhttp://maps.google.com/maps?q=410+Pierce+S treet,Houston,Texas,77002\r\n\r\nForecast\nhttp://www.weather.com/weather/ monthly/77002\r\n\r\nThe task of identifying key production drivers in unc onventional reservoirs remains challenging, even after decades of explorat ion and production in North America during which tens of thousands of hori zontal unconventional wells have been drilled and completed. Tens to hundr eds of variables, categorized as reservoir quality, well architecture, com pletion, stimulation, and production metrics, are involved and there are m any different interrelationships among the variables to be considered. Fur ther, formation evaluation is typically minimal and there are unknown vari ables in the system that can only be guessed at, ignored, or proxied. The author&rsquo\;s team has combined Geographical Information Systems (GIS) a nalysis and multivariate analysis using boosted regression trees for impro ved data mining results as compared to univariate methods.\r\nThe purpose of this lecture is to discuss key elements of data mining in unconventiona l reservoirs, in order to raise awareness of cutting-edge statistical tool s and methods being brought to bear in the industry. The presentation will provide highlights of real world examples of data mining projects in thre e different shale plays. If there were only one idea for audiences to take away from the lecture, it would be that exploiting unconventional reservo irs is a highly complex task with many moving parts and data mining is a n eeded tool to be applied to better understand the importance of specific w ell productivity drivers. Another way to say it is that the talk is intend ed to provide the audience with improved statistical methods for the &ldqu o\;statistical&rdquo\; plays so that multi-million dollar decisions can be truly data-driven.\r\nAll professionals are welcome to attend this event. --- This iCal file does *NOT* confirm registration.Event details subject t o change. ---\r\n\r\n--- By Tendenci - The Open Source AMS for Association s ---\r\n UID:uid2997@spegcs.org SUMMARY:SPE-GCS Young Professionals: Lessons Learned from Data Mining in Unconventional Reservoirs DTSTART:20150922T160000Z DTEND:20150922T180000Z CLASS:PUBLIC PRIORITY:5 DTSTAMP:20240328T165301Z TRANSP:OPAQUE SEQUENCE:0 LOCATION:Houston Technology Center X-ALT-DESC;FMTTYPE=text/html: