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Título del libro: Society Of Exploration Geophysicists International Exposition And 84th Annual Meeting Seg 2014
Título del capítulo: Neural network and rock physics for predicting and modeling attenuation logs

Autores UNAM:
URSULA XIOMARA ITURRARAN VIVEROS;

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Autores externos:

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Idioma:
Inglés

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Año de publicación:
2014

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Palabras clave:

Estimation; Geophysical prospecting; Lithology; Neural networks; Petroleum prospecting; Petroleum reservoir engineering; Petroleum reservoirs; Sand; Seismic waves; Well logging; Fluid saturations; Full-waveforms; Gas saturations; Non-parametric; Oil and gas reservoir; Rock physical models; Saturated sand; Water saturations; Oil well logging

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Resumen:

P-wave attenuation (Q-1), a powerful attribute, can be used as an indicator of lithology and fluid saturation in the characterization of oil and gas reservoirs. The estimations of Q-1 from a new well at Waggoner reservoir were used to perform data analysis via the Gamma test, a mathematically non-parametric nonlinear smooth modeling tool, to choose the best input combination of well logs to train an artificial neural network (NN) for estimating Q-1. Then the NN was applied to predict attenuation logs in two nearby old wells. The Q-1 logs detect oil saturated sand that was verified with a forward rock physical model. This is a significant result that shows for the first time that oil, gas, and water saturations of sand can be quantified from an attenuation anomaly estimated from full waveform sonic data. In addition, water, oil, and gas saturations of the sand were determined from Q-1 anomalies observed in the old wells. This confirms the production of the Upper Milham oil-saturated sand intercepted by the three wells. This study demonstrates that attenuation logs combined with rock physical models can be used to discriminate between those anomalies associated with lithology and those associated with oil and gas saturations. © 2014 SEG.

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Entidades citadas de la UNAM:

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Fuente:


ISBN:
9781634394857
Editorial:
Society of Exploration Geophysicists

Tipo de producto:
Conference Paper

DOI:
10.1190/segam2014-0095.1