Data Analysis and Neuro-Fuzzy Technique for EOR Screening: Application in Angolan Oilfields

[...]a multi-layered genetic fuzzy perceptron approach based on ANFIS [23] is used in this study. [...]improving the performance of these wells is a cost-effective way to reverse the negative production decline trend, extend field life and improve oil recovery. By applying the EOR recovery technique...

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Bibliographic Details
Published inEnergies (Basel) Vol. 10; no. 7; p. 837
Main Authors Ramos, Geraldo, Akanji, Lateef
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.07.2017
Subjects
Algorithms
Artificial intelligence
artificial intelligence (AI)
Candidates
Data analysis
Enhanced oil recovery
enhanced oil recovery (EOR)
Floods
Fuzzy logic
Fuzzy sets
Gene expression
Multilayers
neural network (NN)
Neural networks
neuro-fuzzy (NF)
Offshore
Oil and gas fields
Oil fields
Oil recovery
Oil reservoirs
Permeability
Polymers
reservoir screening
Reservoirs
Success
United Kingdom > UK
United States > US
Angola
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Summary:[...]a multi-layered genetic fuzzy perceptron approach based on ANFIS [23] is used in this study. [...]improving the performance of these wells is a cost-effective way to reverse the negative production decline trend, extend field life and improve oil recovery. By applying the EOR recovery techniques, millions of barrels of oil will be extracted from the existing fields by increasing the recovery factor up to 60% of the oil in the reservoir [33]. [...]screening oil reservoirs can be considered as the first step before an EOR project implementation in Angola. Besides box-plots, Equations (1) and (2) can also be used for data analysis.
ISSN:1996-1073
1996-1073
DOI:10.3390/en10070837