Production Characteristics and Reservoir Quality at the Ivanić Oil Field (Croatia) Predicted by Machine Learning System

Geologia Croatica

Josip Crnički¹  Zvonimir Hernitz²  Miro Đureković³ 

[1] ;Faculty of Mining, Geology and Petroleum Engineering;INA - Industrija nafte d. d.;

关键词: Ivanić oil field;    Reservoir quality;    Prediction or oil production;    Machine learning system;    Expert systems;   

DOI  :  10.4154/GC.1996.16

来源: DOAJ

【 摘 要 】

At the Ivanić oil field, hydrocarbons are accumulated in fine to

medium grained litharenits of the Ivanić-Grad Formation (Iva-sandstones member) of Upper Miocene age. Reservoir rocks are divided

inlo eight depositional (production) units (i1- i8). 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 slatistical method. Two

major production well categorics ("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 i5, i4 i3.

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%.

【 授权许可】

Unknown