| At present mainly adopted fractured horizontal wells have larger contact area,greater drainage area and high oil-displacement efficiency compared with fractured vertical wells.Therefor,productivity prediction method for volume fractured horizontal well of tight reservoir is important content of petroleum reservoir engineering and production engineering,which helps to take stimulation measures.This paper takes the tight block of D oilfield as the research object.First,through the laboratory experiment,the seepage characteristics and the seepage mechanism of the tight oil reservoir are analyzed.It is realized that the core porosity changes with the stress change very small,and the porosity loss rate is only related to the effective stress after the compression,and has nothing to do with the initial value of porosity and the initial permeability.The permeability stress sensitivity of tight core is stronger than that of medium and high permeability core.When the initial permeability is less than a certain critical value,the lower the permeability is,the more sensitive to the force.After greater than this value,the variation of the permeability is independent of the initial value of the permeability;the minimum starting pressure gradient and the pseudo starting pressure gradient of tight reservoirs decrease gradually with the increase of permeability.Both of the two have a better power function relationship with the permeability,and the empirical relation between the minimum starting pressure gradient and the pseudo starting pressure gradient and permeability is obtained by using the measured data drawing curve.Secondly,according to the complex fracture characteristics of the fractured horizontal well in the tight block of D oilfield,the fracture model of volume fractured horizontal well in tight reservoir is studied,and a double-porosity model is established.At last,the prediction model of the volume fracturing horizontal well in the dense reservoir is established,and the corresponding productivity prediction program is compiled,and the output of the related wells is predicted by the program,and the related influencing factors of the yield are analyzed. |