Unstable non-Newtonian two-phase fluid displacement simulation method based on pore network model

A pore network model and displacement simulation technology, applied in the fields of instrumentation, electrical digital data processing, computer-aided design, etc., can solve the problem that the immiscible displacement simulation of two-phase non-Newtonian fluids has few studies, is difficult to study, and cannot describe fluids and pores. Problems such as unsteady seepage characteristics of throat compressibility coefficient

Pending Publication Date: 2021-10-01
SOUTHWEST PETROLEUM UNIV
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Compared with Newtonian fluids, non-Newtonian fluids are mostly composed of polymer substances, and polymer substances tend to form various coiled network or chain structures under the action of molecular forces, causing viscosity changes during the flow process. Therefore, The obvious macroscopic difference between Newtonian fluid and non-Newtonian fluid is that the viscosity is different under different shearing effects, so the rheological characteristics of Newtonian fluid and non-Newtonian fluid (the property of fluid flow and deformation when subjected to external force is called rheology) There is a big difference, and the seepage properties shown by the flow inside the porous medium are also very different, and it is difficult to study
[0004] At present, there are many studies on non-Newtonian fluid flow based on lattice Boltzmann method at home and abroad, but there are still few studies on immiscible displacement simulation of two-phase non-Newtonian fluid based on pore network model, and most of them cannot accurately reflect the flow of two-phase fluid in porous media pore throats. In the internal flow process, it is impossible to describe the unsteady seepage characteristics of the fluid and pore throat compressibility coefficients that change with the pressure propagation. The results of this type of numerical simulation are often not very reliable and cannot provide scientific guidance for on-site production

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
  • Unstable non-Newtonian two-phase fluid displacement simulation method based on pore network model
  • Unstable non-Newtonian two-phase fluid displacement simulation method based on pore network model
  • Unstable non-Newtonian two-phase fluid displacement simulation method based on pore network model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0084] Such as figure 1 As shown, this embodiment provides a non-steady-state non-Newtonian two-phase fluid displacement simulation method based on the pore network model, and its technical scheme is as follows:

[0085] 1. Pore-throat radius distribution obtained from NMR experiments and constant-velocity mercury intrusion experiments

[0086] 1.1 NMR experiment

[0087] The principle of nuclear magnetic resonance experiments can be briefly described as the corresponding splitting of the spin energy level of the nucleus in an external magnetic field environment and the resonance phenomenon. The charge outside the nucleus revolves around the nucleus, which produces a vector magnetic field with strength and direction. If there is no external magnetic field, the direction of a single nuclear magnetic moment is random, and it does not show magnetism macroscopically. When the detection object is placed in an external magnetic field, the nuclear magnetic moment will precess in th...

Embodiment 2

[0189] 1. Micro-CT scanning experiment statistics coordination number

[0190] Based on computerized high-resolution tomography imaging technology (MicroCT), the sample was scanned and the digital core 3D reconstruction was carried out using the equivalent sphere method and the maximum sphere method to construct the pore network, and the structural characteristics of the reservoir were analyzed. Among them, The track length can be calculated by the following formula:

[0191] L=D-R 1 -R 2

[0192] In the formula, R 1 , R 2 are the radii of the two pores connected by the tunnel, in μm; D is the actual coordinate distance between the center points of the two pores, in μm.

[0193] The coordination number is automatically calculated by the software.

[0194] 2. Nuclear Magnetic Resonance Core Analysis and Test Statistical Pore Throat Radius Distribution

[0195] The NMR signal intensity is positively correlated with the number of fluid hydrogen nuclei inside the saturated ...

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 the technical field of oil and gas field development, in particular to an unstable non-Newtonian two-phase fluid displacement simulation method based on a pore network model, which comprises the following steps: 1) acquiring radius distribution of a conical pore throat through a nuclear magnetic resonance experiment and a constant-speed mercury injection experiment; 2) obtaining the length and coordination number of a conical pore throat; 3) establishing a pore network model; and 4) introducing an unsteady-state seepage theory into the pore network model, and meanwhile, researching water-displacing-oil two-phase unsteady-state seepage in the pore type medium according to the process of fluid flow in pores, interface movement and pore pressure diffusion to form a non-Newtonian two-phase fluid displacement simulation method. A dynamic network simulation algorithm and an unsteady-state seepage theory are combined to simulate a non-Newtonian two-phase fluid displacement process. The method can accurately reflect the unstable seepage characteristics of the fluid and pore throat compression coefficient, fluid viscosity and the like which change along with pressure propagation in the process that the non-Newtonian two-phase fluid flows in the porous medium pore throat.

Description

technical field [0001] The invention relates to the technical field of oil and gas field development, in particular to an unsteady non-Newtonian two-phase fluid displacement simulation method based on a pore network model. Background technique [0002] Underground crude oil has large reserves and wide uses. It is the "blood" of modern industry and an indispensable strategic resource for the country's survival and development. How to maximize the underground energy and transform it into the driving force for economic development is particularly important. Fundamentally, it is how to enhance oil recovery. After years of research, the development methods of conventional oil reservoirs have become mature. Most researchers use pore network models that conform to the microstructure characteristics of reservoir rocks for reservoir numerical simulation research, and this type of technology has become increasingly mature, but in In the pore network model, there are relatively few st...

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): G06F30/28G06F113/08G06F119/14
CPCG06F30/28G06F2113/08G06F2119/14
Inventor 唐雁冰杨鑫李闽彭浩余江龙李岚峰赖育鑫马爽
Owner SOUTHWEST PETROLEUM UNIV
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