Production Characteristics, Evaluation, and Prediction of CO2 Water-Alternating-Gas Flooding in Tight Oil ReservoirSource: Journal of Energy Resources Technology:;2021:;volume( 144 ):;issue: 003::page 33006-1Author:Chai, Xiaolong
,
Tian, Leng
,
Zhang, Mengyuan
,
Shao, Hongzhi
,
Wang, Jianguo
,
Zhang, Kaiqiang
DOI: 10.1115/1.4052492Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: It is complex and obviously different for the production characteristics of CO2 water-alternating-gas (WAG) flooding in tight reservoir and influenced by quite a few factors. Therefore, the prediction of oil production is a key matter of efficient development of CO2 WAG to be solved in tight reservoirs. In order to cope with this issue, in this paper, the production characteristics of CO2 WAG flooding are analyzed and classified in tight oil reservoir of block A as an example. On this basis, properties of reservoir, fracture factors, and operational factors are taken into account and the sensitivity of the influencing factors is carried out. Subsequently, the gray relation analysis is used to confirm the primary influencing factors. Finally, the evaluated model is established to predict oil production rapidly. The results illustrate that the wells of CO2 WAG flooding in tight reservoirs can be divided into four types of fluid production characteristics. The production is affected by permeability, reservoir thickness, amount of sand entering the ground, amount of liquid entering the ground, gas/water ratio, the injection rate, injection pressure, permeability variation coefficient, water sensitive index, acid sensitive index, and expulsion pressure. And the primary influencing factors are the amount of sand entering the ground, reservoir thickness, and amount of liquid entering the ground. The oil production can be predicted quickly based on the relation between production and comprehensive evaluation factor of production. The average relative error between the predicted results and the actual production is 8%, which proves the reliability and accuracy of this method.
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contributor author | Chai, Xiaolong | |
contributor author | Tian, Leng | |
contributor author | Zhang, Mengyuan | |
contributor author | Shao, Hongzhi | |
contributor author | Wang, Jianguo | |
contributor author | Zhang, Kaiqiang | |
date accessioned | 2022-05-08T09:36:40Z | |
date available | 2022-05-08T09:36:40Z | |
date copyright | 10/13/2021 12:00:00 AM | |
date issued | 2021 | |
identifier issn | 0195-0738 | |
identifier other | jert_144_3_033006.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4285354 | |
description abstract | It is complex and obviously different for the production characteristics of CO2 water-alternating-gas (WAG) flooding in tight reservoir and influenced by quite a few factors. Therefore, the prediction of oil production is a key matter of efficient development of CO2 WAG to be solved in tight reservoirs. In order to cope with this issue, in this paper, the production characteristics of CO2 WAG flooding are analyzed and classified in tight oil reservoir of block A as an example. On this basis, properties of reservoir, fracture factors, and operational factors are taken into account and the sensitivity of the influencing factors is carried out. Subsequently, the gray relation analysis is used to confirm the primary influencing factors. Finally, the evaluated model is established to predict oil production rapidly. The results illustrate that the wells of CO2 WAG flooding in tight reservoirs can be divided into four types of fluid production characteristics. The production is affected by permeability, reservoir thickness, amount of sand entering the ground, amount of liquid entering the ground, gas/water ratio, the injection rate, injection pressure, permeability variation coefficient, water sensitive index, acid sensitive index, and expulsion pressure. And the primary influencing factors are the amount of sand entering the ground, reservoir thickness, and amount of liquid entering the ground. The oil production can be predicted quickly based on the relation between production and comprehensive evaluation factor of production. The average relative error between the predicted results and the actual production is 8%, which proves the reliability and accuracy of this method. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Production Characteristics, Evaluation, and Prediction of CO2 Water-Alternating-Gas Flooding in Tight Oil Reservoir | |
type | Journal Paper | |
journal volume | 144 | |
journal issue | 3 | |
journal title | Journal of Energy Resources Technology | |
identifier doi | 10.1115/1.4052492 | |
journal fristpage | 33006-1 | |
journal lastpage | 33006-9 | |
page | 9 | |
tree | Journal of Energy Resources Technology:;2021:;volume( 144 ):;issue: 003 | |
contenttype | Fulltext |