Estimation of the waterflooding process efficiency based on a capacitive-resistive model with a nonlinear productivity index Qeyri-xətti məhsuldarlıq əmsalı ilə tutumlu-rezistiv model əsasında sulaşdırma prosesinin səmərəliliyinin operativ qiymətləndirilməsi ОПЕРАТИВНАЯ ОЦЕНКА ЭФФЕКТИВНОСТИ ПРОЦЕССА ЗАВОДНЕНИЯ НА ОСНОВЕ ЕМКОСТНО-РЕЗИСТИВНОЙ МОДЕЛИ С НЕЛИНЕЙНЫМ КОЭФФИЦИЕНТОМ ПРОДУКТИВНОСТИ


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Abbasov A., ABBASOV ., Ismayilov S., Suleymanov A.

SOCAR Proceedings, pp.19-26, 2023 (ESCI, Scopus) identifier identifier

  • Nəşrin Növü: Article / Article
  • Nəşr tarixi: 2023
  • Doi nömrəsi: 10.5510/ogp2023si100820
  • jurnalın adı: SOCAR Proceedings
  • Jurnalın baxıldığı indekslər: Emerging Sources Citation Index (ESCI), Scopus, Compendex
  • Səhifə sayı: pp.19-26
  • Açar sözlər: capacitance-resistance model, Forchheimer two terms law, modeling, non-linear productivity index, production, waterflooding efficiency
  • Açıq Arxiv Kolleksiyası: Məqalə
  • Adres: Bəli

Qısa məlumat

A modified Capacitance-Resistance Model (CRM), with Forchheimer two terms law non-linear Productivity Indexes (PI), has been suggested to evaluate efficiency of waterflooding in heterogeneous reservoirs. The model represents the intra-formation processes in heterogeneous reservoirs more accurately, thus it can be used for production forecasting and waterflood monitoring. CRM model is based on continuity equation between production and injection, and has several additional advantages. The technique does not require sophisticated geological and hydrodynamics numerical simulation modeling, which would require expensive computing time and based on actual hydrodynamic data. The model adequately describes depletion process and can be used for production forecasting and waterflooding mechanism. Capacitance-resistance model with non-linear productivity index has been tested against numerical model as well as actual production data. Additionally, non-linear productivity index based CRM model was compared against the CRM model with linear productivity index function.