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/3954/\r\n\r \nEvent Title: Permian: Why Rocks Matter: How Traditional Mapping Methods Have Failed to Predict Production Trends in the Midland Basin\r\nStart Dat e / Time: May 15, 2018 11:30 AM US/Central\r\nLocation: Norris Conference Center – Westchase\r\nSpeaker: Mark Sooby\r\nGoogle\r\nhttp://maps.googl e.com/maps?q=9990+Richmond+Ave.,+South+Bldg.,+Ste.+102,Houston,Texas,77042 \r\n\r\nForecast\nhttp://www.weather.com/weather/monthly/77042\r\n\r\nPay maps have long been the starting point for industry geologists when evalua ting new plays and trying to identify their potential. This is especially true with conventional reservoirs, however, as the industry has moved to focus more on unconventional reservoirs it has become clear that the tradi tional net pay mapping using log cutoffs leaves a lot left to be desired. Overlaying the most successful wells in the midland Basin with net pay ma ps based on porosity, density, and gamma ray cutoffs and you see one simil arity, little to no correlation. At the surface this may indicate that ro cks don&rsquo\;t matter, but digging deeper it becomes apparent that tradi tional net pay maps focus on rock properties that are not the primary driv er for successful wells. In fact the rock facies are vitally important. Petrophysical multi-mineral models have broken down these seemingly homoge nous black rocks into highly detailed facies making it possible to tease o ut the shales that are going to produce the best. When these petrophysica l facies are mapped locally and regionally a much stronger correlation can be seen between rock and production. While traditional net pay mapping m ethods have failed to identify the best rock consistently, new petrophysic al facies mapping has helped to unlock the secret of shales in the Midland Basin and demonstrate that rock still do matter in the unconventional wor ld.--- This iCal file does *NOT* confirm registration.Event details subjec t to change. ---\r\n\r\n--- By Tendenci - The Open Source AMS for Associat ions ---\r\n UID:uid3954@spegcs.org SUMMARY:Permian: Why Rocks Matter: How Traditional Mapping Methods Have Failed to Predict Production Trends in the Midland Basin DTSTART:20180515T163000Z DTEND:20180515T180000Z CLASS:PUBLIC PRIORITY:5 DTSTAMP:20240328T204934Z TRANSP:OPAQUE SEQUENCE:0 LOCATION:Norris Conference Center – Westchase X-ALT-DESC;FMTTYPE=text/html:
Pay maps have long been the starting point for industry geologists when evaluating new plays and t rying to identify their potential. \; This is especially true with con ventional reservoirs, however, as the industry has moved to focus more on unconventional reservoirs it has become clear that the traditional net pay mapping using log cutoffs leaves a lot left to be desired. \; Overlay ing the most successful wells in the midland Basin with net pay maps based on porosity, density, and gamma ray cutoffs and you see one similarity, l ittle to no correlation. \; At the surface this may indicate that rock s don&rsquo\;t matter, but digging deeper it becomes apparent that traditi onal net pay maps focus on rock properties that are not the primary driver for successful wells. \; In fact the rock facies are vitally importan t. \; Petrophysical multi-mineral models have broken down these seemin gly homogenous black rocks into highly detailed facies making it possible to tease out the shales that are going to produce the best. \; When th ese petrophysical facies are mapped locally and regionally a much stronger correlation can be seen between rock and production. \; While traditi onal net pay mapping methods have failed to identify the best rock consist ently, new petrophysical facies mapping has helped to unlock the secret of shales in the Midland Basin and demonstrate that rock still do matter in the unconventional world.