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Fault interpretation is a complex task that requires time and effort on behalf of the interpreter. Moreover, it plays a key role during subsurface structural characterization either for hydrocarbon exploration and development or well planning and placement. Seismic attributes are tools that help interpreters identify subsurface characteristics that cannot be observed clearly. Unfortunately, indiscriminate and random seismic attribute use affects the fault interpretation process. We have developed a multispectral seismic attribute workflow composed of dip-azimuth extraction, structural filtering, frequency filtering, detection of amplitude discontinuities, enhancement of amplitude discontinuities, and automatic fault extraction. The result is an enhanced ant-tracking volume in which faults are improved compared to common fault-enhanced workflows that incorporate the ant-tracking algorithm. To prove the effectiveness of the enhanced ant-tracking volume, we have applied this methodology in three seismic volumes with different random noise content and seismic characteristics. The detected and extracted faults are continuous, clean, and accurate. The proposed fault identification workflow reduces the effort and time spent in fault interpretation as a result of the integration and appropriate use of various types of seismic attributes, spectral decomposition, and swarm intelligence.

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Este artículo puede compartirse bajo la licencia CC BY-ND 4.0 (https://creativecommons.org/licenses/by-nd/4.0/)Y.P Goyes Peñafiel, G Jiménez Diaz, R Mier Umaña. "Aplicación del método de inversión usando mínimos cuadrados (dls) para el procesamiento de sondeos eléctricos verticales en campo escuela colorado (Santander) -caso de estudio", UIS Ingenierías, vol. RESUMENEn el método de resistividad eléctrica se inducen corrientes eléctricas en el subsuelo y se mide la diferencia de potencial en la superficie. En un subsuelo con capas de diferentes características físicas, las medidas de resistividad y sus respectivas anomalías contribuyen con la prospección y caracterización de las propiedades eléctricas de los diferentes estratos. La resistividad es una de las propiedades físicas más variables, ya que se puede ver afectada por pequeños cambios del clima o irregularidades del subsuelo, para ciertos tipos de materiales, el agua puede modificar sus propiedades eléctricas; en suelos saturados o con niveles freáticos, la resistividad de un material tiende a disminuir. La distribución de los rangos de resistividad más bajos se analiza para diferentes puntos con el fin de estimar una distribución superficial de estos niveles saturados. En Campo Escuela Colorado se realizó un levantamiento de 8 sondeos eléctricos verticales, el procesamiento e interpretación de los datos adquiridos se realizó por medio del desarrollo de una inversión usando mínimos cuadrados para estimar la resistividad real y profundidades que mejor se ajusten a un modelamiento de la curva teórica.Palabras Clave: Método eléctrico, Campo Escuela Colorado, sondeo eléctrico vertical, nivel freático, acuífero, inversión. ABSTRACTIn the resistivity method, artificially generated electric currents are introduced into the ground and the resulting potential differences are measured at the surface, in subsurface layers of different physical characteristics, resistivity measurements and their respective anomalies provide information on the form and electrical properties of subsurface inhomogeneities. Resistivity is one of the most variable physical properties because it can be affected by small changes in climate or subfloor, for certain types of materials, water can modify their electrical properties; in saturated soil or water tables, the resistivity of a material tends to decrease. The distribution of lower resistivity ranges for different points are analyzed in order to estimate a surface distribution of these saturated levels. At Colorado Field was survey eight vertical electrical sounding; processing and interpretation of acquired data is done through the development of an investment using least squares to estimate the actual resistivity and depths that are best suited to modeling the theoretical curve.