Open AccessA NEW LOG EVALUATION METHOD TO APPRAISE MESAVERDE RE-COMPLETION OPPORTUNITIES
Author(s) -
Albert Greer
Publication year - 2003
Language(s) - English
Resource type - Reports
DOI - 10.2172/828203
Subject(s) - fractal , fuzzy logic , production (economics) , artificial neural network , group (periodic table) , mathematics , artificial intelligence , computer science , mathematical analysis , chemistry , organic chemistry , economics , macroeconomics
Artificial intelligence tools, fuzzy logic and neural networks were used to evaluate the potential of the behind pipe Mesaverde formation in BMG's Mancos formation wells. A fractal geostatistical mapping algorithm was also used to predict Mesaverde production. Additionally, a conventional geological study was conducted. To date one Mesaverde completion has been performed. The Janet No.3 Mesaverde completion was non-economic. Both the AI method and the geostatistical methods predicted the failure of the Janet No.3. The Gavilan No.1 in the Mesaverde was completed during the course of the study and was an extremely good well. This well was not included in the statistical dataset. The AI method predicted very good production while the fractal map predicted a poor producer