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    Metodolog铆a y aplicaci贸n de atributos s铆smicos en la modelaci贸n de facies para zonas potencialmente productoras de gas. 脕rea Santa Cruz-Jibacoa, Cuba

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    Hist贸ricamente, la exploraci贸n petrolera en Cuba, se ha apoyado en estudios geoqu铆micos, petrof铆sicos y de ingenier铆a de yacimientos en los pozos para caracterizar los intervalos productores de hidrocarburos y la explotaci贸n del gas disuelto. El objetivo de este estudio es detectar en esos reservorios, las acumulaciones comerciales de gases h煤medos a partir del uso de los atributos s铆smicos con la instrumentaci贸n de una metodolog铆a de trabajo. Se escogieron dos yacimientos que se encuentran en la Franja Norte Petrolera Cubana; el Santa Cruz del Norte (patr贸n de aprendizaje) y Jibacoa (patr贸n predictivo). Como objeto se estudi贸 la Formaci贸n Vega Alta, secuencia sinorog茅nica de edad Paleoceno-Eoceno Medio, con gran complejidad litol贸gica, considerada sello regional, pero parad贸jicamente, con apreciables manifestaciones de hidrocarburos, principalmente de gas. Se realiz贸 un an谩lisis microfacial, fundamentalmente con la informaci贸n de los cuttings (1921 m), construy茅ndose un modelo ternario para las rocas cl谩sticas y otro para las carbonatadas y sil铆ceas, con predominio de las primeras. Para obtener informaci贸n sobre la relaci贸n entre las litofacies y los atributos s铆smicos, se efectu贸 un an谩lisis exploratorio de los datos. Se establecieron las firmas s铆smicas para cada litotipo y con la aplicaci贸n de m茅todos de miner铆a de datos, se ajust贸 la capacidad de esos atributos para diferenciar cada litofacies. Fueron discretizados 4130 intervalos patrones en pozos. Para trabajar dentro de un dominio con gran incertidumbre, se emple贸 un algoritmo geoestad铆stico de simulaci贸n secuencial de indicadores para calcular las probabilidades. Se ejecut贸 la conversi贸n de atributo s铆smico a litofacies, mediante una clasificaci贸n supervisada, en una matriz de 350000 celdas (aproximadamente 43750 km3 en total), con los atributos s铆smicos seleccionados como significativo y por 煤ltimo se estableci贸 un c谩lculo de riesgo-recompensa que pronostica el alcance econ贸mico de esta estrategia.Historically the Cuban exploration strategy has been characterized by discovering productive oil intervals and to use its associated gas by conventional methods. The objective of this study was to create a methodology to detect reservoirs with free gaseous hydrocarbons contain, by seismic attributes. Were chosen two oilfields located in the Cuban Northern Oil Belt; (main Cuban oil region); Santa Cruz del Norte (learning pattern) and Jibacoa oil fields (predictive pattern). Were studied the Vega Alta Formation, a synogenic sequence of Paleocene-Middle Eocene age, with great lithological complexity and considered as a regional seal, but paradoxically, with significant hydrocarbons presence. A microfacial analysis was carried out, with the information of the cuttings, building a ternary model for clastite rocks and another model for carbonated and siliceous rocks. Were studied 1921 m by cuttings samples, predominantly clastic lithofacies. An exploratory data analysis was carried out, which permitted obtaining information about the unknown relationship between lithofacies and seismic attributes. The seismic signatures of lithofacial classification were determined, and with the assistance of data mining methods were adjusted the seismic attributes to differentiate lithofacies. These were discretized in 4130 standard patterns intervals. Probability values were calculated applying a geostatistics sequential simulation algorithm. The inverse task (conversion of seismic attributes to lithofacies) was executed, through a supervised classification, into a 350000 cells matrix (approximately 43750 km3), with the selected seismic attributes and finally, an exploration risk analysis was calculated for estimate the economic strategy
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