Adaptive neuro-fuzzy approach for prediction of dewpoint pressure for gas condensate reservoirs

التفاصيل البيبلوغرافية
العنوان: Adaptive neuro-fuzzy approach for prediction of dewpoint pressure for gas condensate reservoirs
المؤلفون: Lingzhong Guo, Aliyuda Ali
المصدر: Petroleum Science and Technology. 38:673-681
بيانات النشر: Informa UK Limited, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Neuro-fuzzy, Petroleum engineering, General Chemical Engineering, 0211 other engineering and technologies, Energy Engineering and Power Technology, Subtractive clustering, 02 engineering and technology, General Chemistry, Geotechnical Engineering and Engineering Geology, Reduction (complexity), Fuel Technology, Dew point, 020401 chemical engineering, 021105 building & construction, Reservoir management, Reservoir pressure, Environmental science, Adaptive learning, 0204 chemical engineering, Productivity
الوصف: Dewpoint pressure is an important parameter for reservoir management and characterization. Gas condensate reservoirs experience significant reduction in productivity when initial reservoir pressure...
تدمد: 1532-2459
1091-6466
DOI: 10.1080/10916466.2020.1769655
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::e751cec8c22a8d95050389531cd81654
https://doi.org/10.1080/10916466.2020.1769655
رقم الانضمام: edsair.doi...........e751cec8c22a8d95050389531cd81654
قاعدة البيانات: OpenAIRE
الوصف
تدمد:15322459
10916466
DOI:10.1080/10916466.2020.1769655