A Prediction Method of Oil Recovery for Hot Water Chemical Flooding in Heavy Oil Reservoirs: Semi-Analytical Stream Tube ModelSource: Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture:;2024:;volume( 001 ):;issue: 002::page 21001-1Author:Du, Qingjun
,
Shen, Jie
,
Shi, Lina
,
Yu, Jianmei
,
Hou, Jian
,
Xue, Yu
,
Wei, Bei
,
Liu, Yongge
DOI: 10.1115/1.4066882Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Chemical agents (polymer and surfactant) assisted hot water flooding is an effective means of enhancing oil recovery in heterogeneous and heavy oil reservoirs. The rapid prediction of oil recovery through hot water chemical flooding is very important. The stream tube model is a fast analytical method for predicting water flooding recovery, but it is not suitable for hot water chemical flooding. In this paper, a permeability distribution model for multi-stream tubes is established based on permeability variation coefficient using normal distribution function for reservoir heterogeneity, using Gompertz growth function model to characterize the changes in stream tube temperature, polymer viscosity, and surfactant concentration with injection volume, using Brooks–Corey model to describe the influence of interfacial tension and temperature on the relative permeability curve. Finally, an analytical stream tube model for hot water chemical flooding of heavy oil reservoirs was established. The time-discrete method is used to solve the model, and then, the graphs of the relationship between oil recovery and water cut are obtained. Compared with numerical simulation methods, the prediction error of oil recovery is less than 2%, and the calculation time is reduced by 89%. This model has been successfully applied to X oilfield. Based on historical fitting, it is predicted that hot water chemical flooding can enhance oil recovery by 6.3% compared to water flooding. This paper provides a fast calculation method for predicting and evaluating the effectiveness of hot water chemical flooding in heavy oil reservoirs.
|
Show full item record
contributor author | Du, Qingjun | |
contributor author | Shen, Jie | |
contributor author | Shi, Lina | |
contributor author | Yu, Jianmei | |
contributor author | Hou, Jian | |
contributor author | Xue, Yu | |
contributor author | Wei, Bei | |
contributor author | Liu, Yongge | |
date accessioned | 2025-04-21T10:31:56Z | |
date available | 2025-04-21T10:31:56Z | |
date copyright | 12/23/2024 12:00:00 AM | |
date issued | 2024 | |
identifier issn | 2998-1638 | |
identifier other | jertb_1_2_021001.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4306386 | |
description abstract | Chemical agents (polymer and surfactant) assisted hot water flooding is an effective means of enhancing oil recovery in heterogeneous and heavy oil reservoirs. The rapid prediction of oil recovery through hot water chemical flooding is very important. The stream tube model is a fast analytical method for predicting water flooding recovery, but it is not suitable for hot water chemical flooding. In this paper, a permeability distribution model for multi-stream tubes is established based on permeability variation coefficient using normal distribution function for reservoir heterogeneity, using Gompertz growth function model to characterize the changes in stream tube temperature, polymer viscosity, and surfactant concentration with injection volume, using Brooks–Corey model to describe the influence of interfacial tension and temperature on the relative permeability curve. Finally, an analytical stream tube model for hot water chemical flooding of heavy oil reservoirs was established. The time-discrete method is used to solve the model, and then, the graphs of the relationship between oil recovery and water cut are obtained. Compared with numerical simulation methods, the prediction error of oil recovery is less than 2%, and the calculation time is reduced by 89%. This model has been successfully applied to X oilfield. Based on historical fitting, it is predicted that hot water chemical flooding can enhance oil recovery by 6.3% compared to water flooding. This paper provides a fast calculation method for predicting and evaluating the effectiveness of hot water chemical flooding in heavy oil reservoirs. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | A Prediction Method of Oil Recovery for Hot Water Chemical Flooding in Heavy Oil Reservoirs: Semi-Analytical Stream Tube Model | |
type | Journal Paper | |
journal volume | 1 | |
journal issue | 2 | |
journal title | Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture | |
identifier doi | 10.1115/1.4066882 | |
journal fristpage | 21001-1 | |
journal lastpage | 21001-11 | |
page | 11 | |
tree | Journal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture:;2024:;volume( 001 ):;issue: 002 | |
contenttype | Fulltext |