Segmentation multi-cluster fractured horizontal well yield prediction method for shale gas reservoir

Abstract

The invention belongs to the technical field of shale gas development, and particularly relates to a segmentation multi-cluster fractured horizontal well yield prediction method for a shale gas reservoir. The method comprises the following steps that: establishing a physical model; obtaining an apparent permeability rate calculation method; according to the permeability rule and the pressure superposition principle of gas in a stratum, obtaining the overall pressure drop and crack grid traffic relational expression of all crack grid traffics for any point in a gas reservoir; according to the flowing relationship of gas in a crack and a boundary coupling relationship between the crack and the strum, obtaining a gas reservoir-crack coupling flowing equation; and adopting a matrix analysis method and a numerical iteration algorithm to obtain the horizontal well yield. By use of the method which is put forward by the invention, a blank of a segmentation multi-cluster fractured horizontal well yield prediction model which considers the complex and multiple migration mechanism is filled. The method has the characteristics of being convenient in calculation, high in operability, effectiveand practical, and a basis can be provided for optimizing the horizontal well segmentation multi-cluster fractured parameters of the shale gas.

Description

technical field [0001] The invention relates to a method for predicting the output of multi-cluster fracturing horizontal wells in shale gas reservoirs, and belongs to the technical field of shale gas development. Background technique [0002] Shale gas has huge resources and broad exploration prospects in the world, and hydraulic fracturing technology is one of the core technologies to realize its commercial exploitation. In existing shale gas reservoir fracturing technologies, staged multi-cluster fracturing technology is often used to stimulate shale gas reservoirs to increase the contact area between the wellbore and the formation, improve the seepage conditions of the reservoir around the wellbore, and increase the gas draining area. [0003] Since shale gas reservoirs have multi-scale storage and seepage space of nanopores-micro-fractures-fractured fractures, there are corresponding multiple migration mechanisms in the gas flow process, such as slippage, diffusion, and...

AI Technical Summary

Problems solved by technology

[0003] Since shale gas reservoirs have multi-scale storage and seepage space of nanopores-micro-fractures-fractured fractures, there are corresponding multiple migration mechanisms in the gas flow process, such as slippage, diffusion, and adsorption and desorption, which are very important for accurate prediction of shale gas. Gas staged multi-cluster fractured horizontal well production poses challenges

At present, in the various production prediction methods of shale gas f

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