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The process of representing physical properties in a reservoir model consists of understanding their distribution (facies, porosity, permeability, etc.) in an adequate way, this requires the application of a series of criteria and techniques that aim to make a reliable and understandable model based on geological concepts. The present work aims to analyze and apply all the steps required for a successful modeling, among which are data integration, facies representativeness, and application of the appropriate technique for stochastic modeling; this sequence is crucial for an optimal…mehr

Produktbeschreibung
The process of representing physical properties in a reservoir model consists of understanding their distribution (facies, porosity, permeability, etc.) in an adequate way, this requires the application of a series of criteria and techniques that aim to make a reliable and understandable model based on geological concepts. The present work aims to analyze and apply all the steps required for a successful modeling, among which are data integration, facies representativeness, and application of the appropriate technique for stochastic modeling; this sequence is crucial for an optimal representation. The points taken into account are: Identify sedimentary features using seismic attributes (Coherence, RMS). Analyze electrical well logs in order to identify the vertical resolution of the model and understand the variation of properties around the wellbore. Correlate formation markers that indicate geologic time. Apply Sequential Indicator Simulation (SIS) and calculate facies distribution based on its spatial probability.
Autorenporträt
Profissional formado em Engenharia de Petróleo com um Mestrado em Engenharia de Reservatórios; Exploração, Avaliação e Meio Ambiente, cuja paixão pelas geociências o levou a representar a Universidade Mayor de San Andrés a nível internacional em eventos académicos reconhecidos. Atualmente lecciona cursos de pós-graduação em Exploração.