A pattern-based approach to waterflood performance prediction using knowledge management tools and classical reservoir engineering forecasting methods


Artun E., Vanderhaeghen M., Murray P.

INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY, cilt.13, sa.1, ss.19-40, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 13 Sayı: 1
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1504/ijogct.2016.078046
  • Dergi Adı: INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.19-40
  • Anahtar Kelimeler: waterflooding, predictive data analytics, performance prediction, knowledge management, decline curve analysis, carbonate reservoirs, pattern flood, dashboards, business intelligence, pressure monitoring
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

An efficient and rapid workflow is presented to estimate the recovery performance of an existing vertical-well, pattern-based waterflood recovery design using knowledge management and reservoir engineering in a collaborative manner. The knowledge management tool is used to gather production data and calculate pattern-based recoveries and injection volumes by defining pattern boundaries and allocating annual well injection/production volumes in a systematic manner. Classical reservoir engineering forecasting methods, namely, a combination of oil cut versus cumulative recovery performance curves, and decline curve analyses are applied to forecast the performance of the waterflood pattern of interest. Extrapolating established trends of oil cut vs. recovery for each pattern quantified future performance assessments. Time is attached to the performance by introducing liquid rate constraints. Forecasting using both constant and declining liquid rates differentiated the impact of deteriorating reservoir pressure and oil-cut trends on individual pattern oil rate forecasts thus defining current efficiency of each pattern.