Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Water breakthrough time prediction method and device for low permeability bottom water gas reservoir

A technology of time prediction and low permeability, applied in prediction, data processing applications, instruments, etc., can solve problems such as inaccurate prediction of water breakthrough time and inconformity with the real seepage conditions of fracturing wells in low-permeability bottom water gas reservoirs, etc., to improve The Effect of Development Benefit and Rational Production Allocation

Inactive Publication Date: 2018-11-16
BC P INC CHINA NAT PETROLEUM CORP +2
View PDF2 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the previous productivity prediction models for fracturing wells did not consider the influence of gas phase non-Darcy effect and formation skin effect near the bottom of the well, which did not conform to the real seepage conditions of fracturing wells in low-permeability bottom water gas reservoirs, resulting in inaccurate prediction of water breakthrough time. precise

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Water breakthrough time prediction method and device for low permeability bottom water gas reservoir
  • Water breakthrough time prediction method and device for low permeability bottom water gas reservoir
  • Water breakthrough time prediction method and device for low permeability bottom water gas reservoir

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0075] The basic parameters (actual production data) of fracturing well B in a low-permeability bottom water gas reservoir in western China are as follows: gas reservoir temperature is 366.91K, gas phase viscosity is 0.032mPa·s, water phase viscosity is 0.69mPa·s, gas phase viscosity is 0.69mPa·s The relative density is 0.68, the thickness of the gas layer is 15.83m, the perforation depth is 5.38m, the formation porosity is 0.056, the effective permeability of the gas layer is 0.1mD, the volume coefficient of the gas phase is 0.0037, the wellbore radius is 0.1m, and the pressure relief radius is 750m, the residual gas saturation is 0.19, the skin coefficient is 3, the initial water saturation is 0.32, and the density of formation water is 1g / cm 3 , the half-length of the fracture is 50m, the width of the fracture is 6mm, and the deviation factor of the gas phase is 0.89. The water breakthrough time calculated by different bottom water coning models can be obtained from the new...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a water breakthrough time prediction method and device for a low permeability bottom water gas reservoir. The method comprises the following steps of building a water breakthrough time computing model based on a gas phase plane radial flow throughput model and a hemispherical centripetal flow of the lower part of a perforated zone according to a gas phase non-Darcy flow effect influence factor and a stratum skin effect influence factor; acquiring actual production data of the low permeability bottom water gas reservoir; and predicting the water breakthrough time of the low permeability bottom water gas reservoir according to the actual production data of the low permeability bottom water gas reservoir based on the water breakthrough time computing model of the low permeability bottom water gas reservoir. The scheme comprehensively considers the influences of the gas phase non-Darcy flow effect and the stratum skin effect, and builds the dynamic water breakthroughtime computing model fitter for the fracturing well water cone of the low permeability bottom water gas reservoir, so that the water breakthrough time of the low permeability bottom water gas reservoir can be accurately predicted, and the guiding significance and practical value are provided for improving development benefit and reasonable production allocation of the low permeability bottom water gas reservoir.

Description

technical field [0001] The invention relates to the technical field of water breakthrough risk prediction of natural gas wells, in particular to a method and device for predicting water breakthrough time of low-permeability bottom water gas reservoirs. Background technique [0002] Unlike conventional gas reservoirs, low-permeability gas reservoirs have poor reservoir physical properties and low natural productivity of a single well. Stimulation measures such as fracturing are usually required in oilfields to obtain industrial productivity. Under the effect of high production pressure difference, the bottom water continuously coning into the bottom of the well. Because the reservoir physical properties of this type of gas reservoir are poor, the bottom water tends to stay in the formation void after coning, which reduces the seepage area of ​​the gas phase. As a result, the productivity of gas wells will decrease, and even the gas wells will be scrapped. Therefore, accuratel...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02
CPCG06Q10/04G06Q50/02
Inventor 明瑞卿贺会群胡强法熊革辛永安
Owner BC P INC CHINA NAT PETROLEUM CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products