2008•Journal of Oil and Gas TechnologyRequires access

Application of the Seismic Analytic Technique in the Predicting Reservoir in the Area of BN44

Xiaoyang Wang

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Abstract

The Seismic attribute analysis was an important means for reservoir prediction, particularly for the exploration of complex reservoir. On the basis of fine interpretation of seismic data, the seismic attributes of target layer were extracted in BN44 Area and the sensitive seismic attributes were optimized. Combining with seismic and geological data the seismic sensitive attributes were analyzed, the beneficial reservoirs were predicted. Finally the neural networks technology is used to qualitatively predict the reservoirs. The result shows that to optimizate seismic attribute having the sensitivities to the oil and gas is of a great significance for guiding the reservoirs prediction.

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What this paper is about

The Seismic attribute analysis was an important means for reservoir prediction, particularly for the exploration of complex reservoir. On the basis of fine interpretation of seismic data, the seismic attributes of target layer were extracted in BN44 Area and the sensitive seismic attributes were optimized. Combining with seismic and geological data the seismic sensitive attributes were analyzed, the beneficial reservoirs were predicted. Finally the neural networks technology is used to qualitatively predict the reservoirs. The result shows that to optimizate seismic attribute having the sensitivities to the oil and gas is of a great significance for guiding the reservoirs prediction.

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Available abstract

The Seismic attribute analysis was an important means for reservoir prediction, particularly for the exploration of complex reservoir. On the basis of fine interpretation of seismic data, the seismic attributes of target layer were extracted in BN44 Area and the sensitive seismic attributes were optimized. Combining with seismic and geological data the seismic sensitive attributes were analyzed, the beneficial reservoirs were predicted. Finally the neural networks technology is used to qualitatively predict the reservoirs. The result shows that to optimizate seismic attribute having the sensitivities to the oil and gas is of a great significance for guiding the reservoirs prediction.

Key concepts: Seismic to simulation, Seismic attribute, Geology, Seismic inversion, Artificial neural network, Seismology, Interpretation (philosophy), Petroleum engineering

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