Modeling the permeability of heterogeneous oil reservoirs using a robust method

Kamari, Arash; Moeini, Farzaneh; Shamsoddini-Moghadam, Mohammad-Javad; Hosseini, S H Sadat; Mohammadi, Amir H.; Hemmati-Sarapardeh, Abdolhossein

doi:10.1007/s12303-015-0033-2

Cited by 11 publications

(2 citation statements)

References 49 publications

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“…A lot of work has been done on the application of artificial intelligence technique in EOR projects [14][15][16][17][18][19][20][21][22]. Morel et al [14] published the screening criteria of the EOR technologies using 347 successful EOR projects worldwide.…”

Section: Introductionmentioning

confidence: 99%

“…To validate the model, both statistical and graphical methods were used in the training and testing data sets for the developed model. Least square support vector machine (LSSVM) technique has been developed to estimate the interfacial tension (IFT) and MMP in paraffin-CO 2 systems [19], permeability of heterogeneous oil reservoirs [20], and surfactant-polymer flooding performance [21]. The proposed models were validated by statistical and graphical error analysis.…”

Section: Introductionmentioning

confidence: 99%

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

Ramos

Akanji

2017

Energies

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In this work, a neuro-fuzzy (NF) simulation study was conducted in order to screen candidate reservoirs for enhanced oil recovery (EOR) projects in Angolan oilfields. First, a knowledge pattern is extracted by combining both the searching potential of fuzzy-logic (FL) and the learning capability of neural network (NN) to make a priori decisions. The extracted knowledge pattern is validated against rock and fluid data trained from successful EOR projects around the world. Then, data from Block K offshore Angolan oilfields are then mined and analysed using box-plot technique for the investigation of the degree of suitability for EOR projects. The trained and validated model is then tested on the Angolan field data (Block K) where EOR application is yet to be fully established. The results from the NF simulation technique applied in this investigation show that polymer, hydrocarbon gas, and combustion are the suitable EOR techniques.

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