Abstract

Based on the analysis of seepage mechanism of fracturing wells in low permeability reservoir, this paper establishes the capacity model of the vertical fractured well production under the factors of Start-up pressure gradient, pressure sensitive effect and the artificial fracture length. The numerical simulation is compiled and software calculates the capacity model by using numerical simulation. This simulation technique verifies the validity of the model and numerical method. On this basis, we study the influence of the included angle of artificial fracture and well array direction, artificial fracture length, start-up pressure gradient and production pressure difference to the capacity of the oil well.

Highlights

  • Low permeable oil fields have a poor reservoir property, heterogeneity is strong, development is difficult and economic benefit is poor

  • Vertical fracture wells are widespread in the low permeability reservoir, this is because most of the production wells in low permeability reservoir would have production capacity only after fracturing and reconstruction is carried out, that is fracturing is the main mining methods for improving the productivity of oil well

  • The production capacity of vertically fractured well has a great influence to low permeability oil field exploitation

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Summary

INTRODUCTION

Low permeable oil fields have a poor reservoir property, heterogeneity is strong, development is difficult and economic benefit is poor. This article will build the vertically fractured wells capacity model in low permeability reservoir considering start-up pressure gradient [9,10,11,12], pressure sensitive effect [12,13,14,15] and length [16, 17] and direction [18, 19] of fractures. It will analyze the influencing factors to capacity

ESTABLISHMENT OF THE MATHEMATICAL MODEL
PRODUCTIVITY PREDICTION MODEL VALIDATION
ANALYSIS OF PRODUCTIVITY INFLUENCE FACTOR IN VERTICAL FRACTURE WELL
Angle of Artificial Fracture and Well Array Direction
Artificial Fracture Length
Start-Up Pressure Gradient
Production Pressure Differential
CONCLUSION

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