| Tartalom: |
http://real.mtak.hu/42591/ |
| Archívum: |
MTA Könyvtár |
| Gyűjtemény: |
Status = Published
Type = Conference or Workshop Item
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| Cím: |
Hydrocarbon Formation Evaluation Using an
Efficient Genetic Algorithm-based Factor Analysis
Method
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| Létrehozó: |
SzabĂł, Norbert PĂ©ter
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| Dátum: |
2016
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| Téma: |
QE01 Geophysics / geofizika
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| Tartalmi leírás: |
A global optimization approach for the factor analysis of wireline logging data sets is presented. Oilfield
well logs are processed together to give an estimate to factor logs by using an adaptive genetic algorithm.
Nonlinear relations between the first factor and essential petrophysical parameters of shaly-sand reservoirs
are revealed, which are used to predict the values of shale volume and permeability directly from the
factor scores. Independent values of the relevant petrophysical properties are given by inverse modeling
and well-known deterministic methods. Case studies including the evaluation of hydrocarbon formations
demonstrate the feasibility of the improved algorithm of factor analysis. Comparative numerical analysis
made between the genetic algorithm-based factor analysis procedure and the independent well log analsis
methods shows consistent results. By factor analysis, an independent in-situ estimate to shale content and
permeability is given, which may improve the reservoir model and refine the results of the reserve
calculation.
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| Nyelv: |
angol
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| Típus: |
Conference or Workshop Item
PeerReviewed
info:eu-repo/semantics/conferenceObject
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| Formátum: |
text
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| Azonosító: |
Szabó, Norbert Péter (2016) Hydrocarbon Formation Evaluation Using an Efficient Genetic Algorithm-based Factor Analysis Method. In: ECMOR XV - 15th European Conference on the Mathematics of Oil Recovery, 29 August – 1 September 2016, Amsterdam.
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