Complete-period capacity prediction method and device of tight oil multiple-media coupling seepage

Abstract

The invention provides a complete-period capacity prediction method and device of tight oil multiple-media coupling seepage. The method comprises the following steps: obtaining a model parameter of an oil field development area and a multiple-media seepage mechanism parameter in the oil field development area; on the basis of a seepage mechanism in the oil field development area, the non-instantaneous transmissibility of pressure and the regional performance of seepage, establishing a capacity prediction model of a production well in the oil field development area; and according to the model parameter and the seepage mechanism parameter, utilizing the capacity prediction model to carry out iterative computation to obtain a production dynamic curve of at least one production stage of the production well so as to carry out the capacity prediction of tight oil. The method and the device consider influences including the complex seepage mechanism, the regional performance of seepage and the like, and can obtain a more accurate capacity prediction result.

Description

technical field [0001] The invention belongs to the field of oil and gas field development, and in particular relates to a full-period productivity prediction method and device for tight oil multi-media coupling seepage. Background technique [0002] As an unconventional resource, tight oil has a solid reserve base in my country and has great potential for development. Due to the fine pore throats of this type of reservoir, volume fracturing mode is adopted for development, and there are nano-micron-scale matrix pores, micron-millimeter-scale natural fractures and artificially fractured fractures, which constitute a complex fracture network, resulting in extremely complex seepage mechanism and production mechanism. There are many control factors and strong uncertainties, making it difficult to predict production capacity. [0003] Traditional productivity prediction models and methods are mostly based on single matrix and Darcy flow, and only consider the impact of threshol...

AI Technical Summary

Problems solved by technology

Due to the fine pore throats of this kind of reservoirs, the volume fracturing mode is adopted for development, and there are nano-micron-scale matrix pores, micron-millimeter-scale natural fractures and artificial fractures, which constitute a complex fracture network, resulting in extremely complicated seepage mechanism and production mechanism. There are many control factors, strong uncertainties, and difficult production capacity forecasting

[0003] Traditional productivity prediction models and methods are mostly based on single matrix and Darcy flow, and only consider the impact of threshold pressure gradient or stress-sensitive single seepage mechanism on productivity, without considering matrix-fracture coupled seepage of different scales, threshold pressure gradient and stress-sensitive nonlinearity at the same time. The influence of seepage mechanism on productivity, single consideration factor, poor adaptability to tight oil productivity prediction

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