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/1424/\r\n\r \nEvent Title: SPEI: Risk Analysis for Development Applications\r\nStart Date / Time: Feb 24, 2010 08:00 AM US/Central\r\nLocation: SPE Houston Off ice Training Centre\r\nSpeaker: Mark McLane, Gary Citron\r\nGoogle\r\nhttp ://maps.google.com/maps?q=10777+Westheimer+Rd+Suite+1075,Houston,TX,77042\ r\n\r\nForecast\nhttp://www.weather.com/weather/monthly/77042\r\n\r\nInten ded Audience\r\nPetroleum engineers, geologists, geophysicists, managers a nd others involved with the design or implementation of risk analysis syst ems in the development environment.\r\nDescription\r\nIntroductory course about the application of systematic risk analysis to identify, quantify an d manage the risks and uncertainties involved with modern petroleum field development and production. The instructors, both petroleum engineers, are experienced practitioners and educators with broad and diverse expertise in all facets of E&\;P project characterization and risk analysis.\r\nT opics Covered\r\n♦\; Introduction to probability and statistics as th e language of uncertainty, including a discussion of\r\nthe different type s of distributions and how to apply them\r\n♦\; Discussion of the imp act of dependencies of variables and how to model them\r\n♦\; Exercis es focused on developing better estimating skills with an emphasis on esti mating in\r\nranges, rather than single values\r\n♦\; Tools and techn iques for identifying which variables have the greatest impact on overall project value\r\n♦\; Probabilistic reserve estimating using: analog a nalysis, volumetric analysis, material balance, decline curves and reservo ir simulation\r\n♦\; Developing credible probabilistic production for ecasts\r\n♦\; Geologic, non-geologic and commercial chance of success \r\n♦\; Building economic models from base case through multiple scen arios\r\n♦\; Introduction to portfolio rollup principles and portfoli o management\r\n♦\; Systematic performance tracking to calibrate esti mates and improve predictability\n\n--- This iCal file does *NOT* confirm registration.Event details subject to change. ---\r\n\r\n--- By Tendenci - The Open Source AMS for Associations ---\r\n UID:uid1424@spegcs.org SUMMARY:SPEI: Risk Analysis for Development Applications DTSTART:20100224T140000Z DTEND:20100225T230000Z CLASS:PUBLIC PRIORITY:5 DTSTAMP:20240329T062221Z TRANSP:OPAQUE SEQUENCE:0 LOCATION:SPE Houston Office Training Centre X-ALT-DESC;FMTTYPE=text/html:
Intended Audie nce
Petroleum engi neers, geologists, geophysicists, managers and others involved with the de sign or implementation of risk analysis systems in the development environ ment.
Description
Introductory course about the application of systematic risk analysis to identify, quantify and manage the risks and uncertainties involved with modern petroleum field development and produc tion. The instructors, both petroleum engineers, are experienced practitio ners and educators with broad and diverse expertise in all facets of E& \;P project characterization and risk analysis.
Topics Covered
♦\; Introduction to pro bability and statistics as the language of uncertainty, including a discus sion of
the different types of distribu tions and how to apply them
♦\; Discussion of the impact of depen dencies of variables and how to model them
♦\; Exercises focused on developing better estimating skills with an emphasis on estimating in p>
ranges, rather than single values
♦\; Tools and techniques for identifying which variables have the great est impact on overall project value
♦\; Developing credible prob
abilistic production forecasts
♦\; Geologic, non-geologic and com mercial chance of success
♦\; Building economic models from base case through multiple scenarios
♦\; Introduction to portfolio rol lup principles and portfolio management
♦\; Systematic performanc e tracking to calibrate estimates and improve predictability