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DTSTART;TZID=America/Denver:20251208T160000
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DTSTAMP:20260517T074444
CREATED:20251117T154715Z
LAST-MODIFIED:20251117T154758Z
UID:5604-1765209600-1765216800@denverspe.org
SUMMARY:SPE Denver Technical Happy Hour: December 2025
DESCRIPTION:Abstract: \n  \n  \nA key challenge faced in unconventional reservoir development is well\ndensities coupled with modern completion designs to economically optimize\nresource development. Most data analytic applications use single well\nproduction and completion data to explore optimized strategies. However\,\nthe combination of different well densities and completion strategies\ncomplicate single well analytics and thus could be improved upon by using\nmulti-well\, normalized section-based data analytics. This approach can help\nidentify what changes can be made to the combination of wells per section\nand completion metrics to optimize asset recovery or help confirm that\ncurrent strategies are working.\nIn most basins\, the State Public Land Survey System (PLSS) sections are\nthe main grid used to define each section. In the Permian\, the Texas Block\nand Survey sections are used\, whereas in the Eagle Ford\, a custom grid\nwith 1-mile by 1-mile sections are used. Total lateral length within the\nsection\, pumped proppant and fluid\, and production volumes are rolled up\nwithin each grid section and normalized by section area on a per-acre basis.\nExamples in the paper mainly use three-year cumulative oil production and\nsimple three-year payout economics as performance metric. Processed\nsection level data is then visualized in both map views and cartesian plots\,\nto draw insights on section-level performance in specific areas and then\ndetermine the best strategies to optimize asset recovery.\nThe key application of this approach is to draw insights relating to differing\ndevelopment strategies in each area. Trends of fluid treatment job sizes as a\nfunction of wells per section (WPS) can be inferred. Together\, with trends of\nsection production as well as normalized well productivity on a per-foot \nbasis as a function of WPS\, it is possible to assess which development\nstrategy might work best. The trends of section production versus WPS and\ncompletion metrics are generally much better than for single-well analytics.\nThe examples show how optimum performance and development strategy\nmay change for different unconventional basins.\nSection-based data analytics has proven to be an excellent complement to\nwell-based data analytics and physical models as it provides better data\ncorrelations for the whole “development system” compared to single-well\nanalytics. This approach is largely automated and can be used in any basin\nto gain insight into the section-level performance of a given well\ndevelopment and completion strategy. \n  \n  \nBio:\nHoward Melcher is a Subsurface Technical Advisor at Liberty Energy\, where\nhe has been a member of Liberty’s technical team for 12 years\, focusing on\ndata analytics\, formation evaluation\, and frac & reservoir modeling. Before\njoining Liberty\, he spent 6 years with U.S. Energy\, a privately held E&P\,\nworking primarily in the Appalachian Basin. He holds a Bachelor of Science in\nGeology from the University at Buffalo and has completed graduate\ncoursework at Texas A&M. \n  \n  \nRegister Here
URL:https://denverspe.org/event/spe-denver-technical-happy-hour-completions/
LOCATION:Liberty Energy\, 950 17th St Suite #24\, Denver\, CO\, 80202\, United States
CATEGORIES:Study Groups,Technical
ATTACH;FMTTYPE=image/png:https://denverspe.org/wp-content/uploads/2025/11/SPE_TechProg_LinkedIn-29.png
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