Productivity Prediction Analysis Of Fractured Horizontal Wells In Low Permeability Gas Reservoir

With the more and more high proportion of the low permeability gas reservoir in proved reserves, domestic and foreign scholars pay more and more attention on low permeability gas reservoirs, especially in research on fractured horizontal well in low permeability gas reservoirs development approach. Fracturing of horizontal gas well productivity prediction is of great significance for gas reservoir development design and reasonable allocation.This article is based on the seepage mechanism of low permeability gas reservoir and stimulation of fractured horizontal wells, considering the impact of factors, such as starting pressure gradient, slippage factor, stress sensitivity. Using the methods of reset potential theory, equivalent caliper and other methods derived and established considering the pseudo-pressure binomial gas well productivity equation, gas reservoir fractured horizontal well productivity equation considering the effect of the starting pressure gradient and pressure sensitive, high-speed non-Darcy flow and pressure gradient of gas reservoirs fractured horizontal well productivity equation and finite conductivity fractures of low permeability gas reservoir horizontal well productivity equation. Programmed each production forecasting formulas by VB language and analyzed many factors. Studies have shown that: the impact of stress sensitivity for gas reservoir production is larger than the impact of starting pressure gradient; compared to the impact fracture conductivity and fracture length some weak; high-speed non-Darcy effects cannot be ignored, it makes productivity decline; the greater the slip factor, the greater the gas well production capacity; the greater the skin factor, the gas well production capacity is smaller, but reduce the amplitude is smaller and smaller. In addition, derive a system utility software written. Finally, Eclipse software operating results and the results of comparative analysis of the self, to verify software reliability.