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S4 Ciências e Engenharia do Petróleo |
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Title:
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SPATIAL CORRELATION IN DISCRETE MARKOV RANDOM FIELDS AND TRUNCATED GAUSSIAN PROCESSES
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Summary :
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THE CHARACTERIZATION OF PHYSICAL PROPERTIES OF PETROLEUM RESERVOIRS IS THE INITIAL POINT IN THE FORECASTING OF THE FLUIDS FLOW BEHAVIOR IN POROUS MEDIA. IN THIS SUBJECT, THE SIMULATION OF STOCHASTIC PROCESSES HAS AN IMPORTANT ROLE, BY GENERATING IMAGES OF THE VARIABLE, WITH SPECIFIC CHARACTERISTICS OF SPATIAL CORRELATION AND CONTINUITY. IN THIS WORK WE DISCUSS RELEVANT ASPECTS CONCERNING THE USE OF DISCRETE MARKOV RANDOM FIELDS AND GAUSSIAN STOCHASTIC PROCESSES IN THE REPRESENTATION OF ROCK PROPERTIES IN FLUIDS RESERVOIRS. THE MAIN POINT FOCUSED IS THE RELATIONSHIP BETWEEN THE SPATIAL CORRELATION IN GAUSSIAN PROCESSES AND THE ATTRACTION PARAMETER IN MARKOV RANDOM FIELDS, HERE STUDIED BY MEASURING THE AUTOCORRELATION PARAMETERS IN BINARY MARKOV IM-AGES, GENERATED BY THE METROPOLIS ALGORITHM. GAUSSIAN IMAGES WITH GAUSSIAN TYPE AUTOCORRELA-TION, AFTER TRUNCATED IN BINARY FACIES, HAS A CORRESPONDENCE TO MARKOV IMAGES. THIS SIMILARITY IS VALIDATED BY ANALYSIS IN THE AUTOCORRELATION FUNCTION OF THE DISCRETE GAUSSIAN PROCESSES. |
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Author :
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Remacre, Armando Zaupa
Salomão, Marcelo Curzio
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Paper View :
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COBEM99
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