Prediction of Reservoir Parameters Variation Based on Time-Lapse Seismic Survey

Gang Fang; Xiao Hong Chen; Jing Ye Li

doi:10.4028/www.scientific.net/AMR.433-440.6370

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440Prediction of Reservoir Parameters Variation Based...

Prediction of Reservoir Parameters Variation Based on Time-Lapse Seismic Survey

Abstract:

Fluid saturation and pressure are two of most important reservoir parameters during oil and gas production scheme adjustment. A method to compute the change of fluid saturation and pressure with multi-parameters regression was presented based on time-lapse seismic inversion data. Rock physical models of unconsolidated sand rock reservoirs were determined according to the real field’s conditions to analyze how seismic attributes change with variation of reservoir parameters. The radial basis function artificial neural network which was trained by this model was used to predict saturation and effective pressure. The predicted results are of high consistency with reservoir numerical simulation, which provide valuable reference for reservoir dynamic monitoring.

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

6370-6374

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.6370

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Online since:

January 2012

Authors:

Gang Fang, Xiao Hong Chen, Jing Ye Li

Keywords:

Artificial Neural Network (ANN), Effective Pressure, Rock Physical Model, Saturation, Time-Lapse Sesmic

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