A Novel Dynamic Splitting Method for Production Based on Material Balance Theory and Catastrophe Theory in Tight Gas Reservoirs

Splitting methods play a significant role in the coproduction of tight reservoirs which are characterized by vertical multilayer superimposition. It directly affects the accuracy of reservoir performance analysis and detailed descriptions. However, conventional splitting methods are limited to a few...

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Main Authors: Shengye Hao, Xinyu Qiu, Pengcheng Liu, Xiaoxia Chen
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2021/9950011
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author Shengye Hao
Xinyu Qiu
Pengcheng Liu
Xiaoxia Chen
author_facet Shengye Hao
Xinyu Qiu
Pengcheng Liu
Xiaoxia Chen
author_sort Shengye Hao
collection DOAJ
description Splitting methods play a significant role in the coproduction of tight reservoirs which are characterized by vertical multilayer superimposition. It directly affects the accuracy of reservoir performance analysis and detailed descriptions. However, conventional splitting methods are limited to a few factors and static factors without considering the effect of layer parameter change. In this study, sensitivity analysis was carried out on five factors that affect the production splitting in coproduction wells. The research shows that in the production process, multiple parameters have a direct impact on the production of layers. Different parameters, which have to be included to split production, have different scale effects on layer production. Comparing the results of the KH method with the numerical simulation results, the limitation of the KH method for yield splitting is illustrated. A novel dynamic splitting method for production (DPSM) was proposed. This method is based on two primary methods, which are the multifactor static method for production splitting of gas (GPSM) and water (WPSM) and use the catastrophe theory and material balance equation (MBE) and obtain the final results by iterative method. The advantage of this method is that more accurate results in the production process are obtained by selecting eight factors, which contain 6 static factors and 2 dynamic factors, for research. It is more in line with the production practice that the ultimate results of production splitting vary with the production process. The accuracy and practicality of the results had been verified by numerical simulation. This method has practical significance for production splitting in tight gas reservoirs.
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institution Kabale University
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language English
publishDate 2021-01-01
publisher Wiley
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series Geofluids
spelling doaj-art-9b7f5ad39c9f49d5a350d2609f1d64ee2025-02-03T01:28:19ZengWileyGeofluids1468-81151468-81232021-01-01202110.1155/2021/99500119950011A Novel Dynamic Splitting Method for Production Based on Material Balance Theory and Catastrophe Theory in Tight Gas ReservoirsShengye Hao0Xinyu Qiu1Pengcheng Liu2Xiaoxia Chen3School of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, ChinaSchool of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, ChinaSchool of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, ChinaSchool of Energy Resources, China University of Geosciences (Beijing), Beijing 100083, ChinaSplitting methods play a significant role in the coproduction of tight reservoirs which are characterized by vertical multilayer superimposition. It directly affects the accuracy of reservoir performance analysis and detailed descriptions. However, conventional splitting methods are limited to a few factors and static factors without considering the effect of layer parameter change. In this study, sensitivity analysis was carried out on five factors that affect the production splitting in coproduction wells. The research shows that in the production process, multiple parameters have a direct impact on the production of layers. Different parameters, which have to be included to split production, have different scale effects on layer production. Comparing the results of the KH method with the numerical simulation results, the limitation of the KH method for yield splitting is illustrated. A novel dynamic splitting method for production (DPSM) was proposed. This method is based on two primary methods, which are the multifactor static method for production splitting of gas (GPSM) and water (WPSM) and use the catastrophe theory and material balance equation (MBE) and obtain the final results by iterative method. The advantage of this method is that more accurate results in the production process are obtained by selecting eight factors, which contain 6 static factors and 2 dynamic factors, for research. It is more in line with the production practice that the ultimate results of production splitting vary with the production process. The accuracy and practicality of the results had been verified by numerical simulation. This method has practical significance for production splitting in tight gas reservoirs.http://dx.doi.org/10.1155/2021/9950011
spellingShingle Shengye Hao
Xinyu Qiu
Pengcheng Liu
Xiaoxia Chen
A Novel Dynamic Splitting Method for Production Based on Material Balance Theory and Catastrophe Theory in Tight Gas Reservoirs
Geofluids
title A Novel Dynamic Splitting Method for Production Based on Material Balance Theory and Catastrophe Theory in Tight Gas Reservoirs
title_full A Novel Dynamic Splitting Method for Production Based on Material Balance Theory and Catastrophe Theory in Tight Gas Reservoirs
title_fullStr A Novel Dynamic Splitting Method for Production Based on Material Balance Theory and Catastrophe Theory in Tight Gas Reservoirs
title_full_unstemmed A Novel Dynamic Splitting Method for Production Based on Material Balance Theory and Catastrophe Theory in Tight Gas Reservoirs
title_short A Novel Dynamic Splitting Method for Production Based on Material Balance Theory and Catastrophe Theory in Tight Gas Reservoirs
title_sort novel dynamic splitting method for production based on material balance theory and catastrophe theory in tight gas reservoirs
url http://dx.doi.org/10.1155/2021/9950011
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