Productivity prediction method for displacement development of oilfield flooding well network

A technology for production capacity prediction and injection-production wells, applied in prediction, data processing applications, instruments, etc., can solve the problems that the accuracy depends on the accuracy of production data, lack of theoretical analysis, complex principles, etc., and achieve fast and effective comparative analysis and universal application Strong and operable effect

Inactive Publication Date: 2017-05-31
CHINA UNIV OF PETROLEUM (EAST CHINA)
View PDF2 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The empirical formula method comes from statistical analysis. Most empirical formulas are only based on reservoir parameters, often without considering the specific development process, and lack sufficient theoretical analysis. Analytical methods are usually based on the theory of split flow or streamline isotonic flow. More accurate results can be obtained within a certain range of parameters, but in order to facilitate the solution, a large number of simplified assumptions are generally required, and at the same time, it has the characteristics of complex principles and inconvenient operation; numerical simulation methods can comprehensively consider the mechanisms of various oil displacement processes , but the accuracy of prediction results depends on the accuracy of reservoir characteristi

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
  • Productivity prediction method for displacement development of oilfield flooding well network
  • Productivity prediction method for displacement development of oilfield flooding well network
  • Productivity prediction method for displacement development of oilfield flooding well network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0038] This example takes the steam flooding of the reverse nine-spot vertical well pattern in the heavy oil reservoir as an example. Such as figure 1 As shown, in the embodiment, the process of the steam flooding productivity prediction method of the reverse nine-point vertical well pattern in the heavy oil reservoir mainly includes the following steps:

[0039] Step 101 , for the inverted nine-spot vertical well pattern, use the equivalent seepage resistance method to establish a production capacity prediction model for water flooding well pattern development in conventional oil reservoirs.

[0040] Usually, for an injection-production system with evenly distributed wells and a bounded area, it can be divided into a limited number of interrelated and independent units centered on the injection well. Such as figure 2 As shown, it is a reverse nine-point vertical well pattern unit centered on an injection well.

[0041] For the water flooding development of conventional re...

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 relates to a productivity prediction method for displacement development of an oilfield flooding well network. The method comprises the following steps of (1) establishing a development productivity prediction model of a conventional petroleum reservoir water flooding well network; (2) introducing a displacement comprehensive coefficient, and popularizing the displacement comprehensive coefficient to various petroleum reservoir types and displacement development modes; (3) analyzing and screening relevant parameters which can reflect characteristics of the displacement development modes and have important influences on productivity results; (4) establishing a numerical model of the researched well network type and displacement development mode by use of a petroleum reservoir numerical simulation method; (5) calculating and analyzing a single factor correlation between the characteristic parameter in step (3) and the displacement comprehensive coefficient; (6) obtaining a plurality of groups of productivity results through calculation; (7) obtaining a productivity prediction model of the corresponding flooding well network displacement mode; and (8) respectively verifying the accuracy of the productivity prediction model. The method is relatively strong in universal applicability and can carry out a rapid and effective comparative analysis.

Description

technical field [0001] The invention relates to a production capacity prediction method for oil field injection-production well pattern displacement development, and belongs to the technical field of oil field production capacity prediction. Background technique [0002] As the difficulty of oilfield development increases, it is an important way to achieve stable and increased crude oil production by adopting advanced mining technologies to increase oil recovery in oilfields. Enhanced oil recovery, as the main means of enhancing oil recovery, has broad prospects in oilfield development. Over the years, new enhanced oil recovery methods have emerged and been popularized and applied. The main displacement development methods include chemical flooding, gas injection, thermal flooding and microbial flooding, etc. [0003] Because the operation process of the above-mentioned displacement development method and the oil displacement mechanism of EOR are very complex, and have the ...

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
IPC IPC(8): G06Q10/04G06Q50/02
CPCG06Q10/04G06Q50/02
Inventor 雷光伦郑洋姚传进王娜王志惠
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products