Prediction of lateral variations in reservoir properties throughout an interpreted seismic horizon using an artificial neural network
| Autor: | Ramón García Martínez, Darío Sergio Cersósimo, Claudia L. Ravazzoli |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
010504 meteorology & atmospheric sciences
INTERPRETATION Interval (mathematics) 010502 geochemistry & geophysics 01 natural sciences Synthetic data Physics::Geophysics Data cube MODELING 0105 earth and related environmental sciences Horizon (geology) Synthetic seismogram Geology Geophysics HORIZONS Data set ATTRIBUTES ARTIFICIAL NEURAL NETWORK Ciencias de la Computación e Información Seismic inversion Ciencias de la Información y Bioinformática CIENCIAS NATURALES Y EXACTAS Seismology Seismic to simulation |
| Zdroj: | The Leading Edge. 35:265-269 |
| ISSN: | 1938-3789 1070-485X |
| DOI: | 10.1190/tle35030265.1 |
| Popis: | Successful use of an artificial neural network is shown to predict lateral variations of seismic velocity, density, thickness, and gamma rays associated with sand dune reservoirs identified on a previously interpreted seismic horizon. The work is presented in two main sections. Section one is a feasibility analysis based on synthetic data. A known geologic model is used, performed by pseudowells, in which lateral variations in seismic velocity, density, and gamma ray values are related to the dunes. The synthetic seismic model and the attributes derived are used as training input in the neural network. Section two is a real case example where the methodology is applied to a real seismic data set. Results indicate that using a set of data and attributes restricted to a time interval corresponding to a previously interpreted seismic horizon is more efficient than using a whole data cube, involving a very large volume of data. Fil: Cersósimo, Darío Sergio. GALP Energía; Portugal Fil: Ravazzoli, Claudia Leonor. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina Fil: García Martinez, Ramón. Universidad Nacional de Lanús; Argentina |
| Databáze: | OpenAIRE |
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