Pregled bibliografske jedinice broj: 11519
Production characteristics and reservoir quality at the Ivanić oil field (Croatia) predicted by machine learning system
Production characteristics and reservoir quality at the Ivanić oil field (Croatia) predicted by machine learning system // Geologia Croatica, 49 (1996), 2; 237-242 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 11519 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Production characteristics and reservoir quality at the Ivanić oil field (Croatia) predicted by machine learning system
Autori
Hernitz, Zvonimir ; Đureković, Miroslav ; Crnički, Josip
Izvornik
Geologia Croatica (1330-030X) 49
(1996), 2;
237-242
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Sava depression; Ivanić oil field; reservoir quality; prediction of oil production; machine learning system; expert system
Sažetak
At the Ivanić oil field, hydrocarbons are accumulated in fine to medium grained litharenites of the Ivanić-Grad Formation (Iva-sandstones member) of Upper Miocene age. Reservoir rocks are divided into eight depositional (production) units (iI-iVIII). Deposits of each unit are characterized by their own reservoir quality parameters (porosity, horizontal permeability, net pay...). Production characteristics of 30 wells have been studied by a simple statistical method. Two major production well categories ("good producers" and "bad producers") have been found. The contribution of each depositional unit to the total production of an individual well was studied by using a machine learning system which can serve as an expert system shell. The results have shown that: 1) the most important factors affecting the total hydrocarbon production of each well are horizontal permeability and net pay thickness of the depositional units iV, iIV and iIII., 2) after 20 wells had been drilled during the primary recovery period it was possible to predict the production category of a well to be drilled in the future with a reliability of 80%.
Izvorni jezik
Engleski
Znanstvena područja
Geologija
POVEZANOST RADA
Projekti:
195018
Ustanove:
Rudarsko-geološko-naftni fakultet, Zagreb
Profili:
Zvonimir Hernitz
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus
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