key influencing factors and adjustment countermeasures of recovery in heavy oil reservoir of water flooding

The recovery ratio is an important indicator to evaluate the effectiveness and performance of oilfield development. In order to clarify the key factors of oilfield recovery ratio in the stage of super-high water cut, 9 dynamic indicators of 12 blocks are analyzed in heavy oil reservoir of eastern Ch...

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Main Authors: Wei Qingting, Zhen Guinan, Wang Weilong, Qin Jiamin, Luo Hongcheng, Zhao Xuejie, Xue Rui, Wu Xinbo
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Subjects:
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/105/e3sconf_gesd2021_01047.pdf
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author Wei Qingting
Zhen Guinan
Wang Weilong
Qin Jiamin
Luo Hongcheng
Zhao Xuejie
Xue Rui
Wu Xinbo
author_facet Wei Qingting
Zhen Guinan
Wang Weilong
Qin Jiamin
Luo Hongcheng
Zhao Xuejie
Xue Rui
Wu Xinbo
author_sort Wei Qingting
collection DOAJ
description The recovery ratio is an important indicator to evaluate the effectiveness and performance of oilfield development. In order to clarify the key factors of oilfield recovery ratio in the stage of super-high water cut, 9 dynamic indicators of 12 blocks are analyzed in heavy oil reservoir of eastern China in application of reservoir engineering principles and statistical analysis methods. The results show that the four key factors of recovery are the well density, the ratio of producing wells and injecting wells, net cumulative injecting rate and the bottom hole flow pressure, and the weight of each indicator is quantified. In the horizontal contrast, comprehensive forecasting target recovery is compared with the current recovery by the dynamic method to determine according to typical block BXD. Four of important factors are discussed for the previous trend and the countermeasures of according adjustment are put forward. The proposed method and the results have a certain reference value of the theoretical research and practical application in the stage of super-high water cut oil-field.
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spelling doaj.art-886e3a07514a4074968754fbfd185d992022-12-21T21:43:37ZengEDP SciencesE3S Web of Conferences2267-12422021-01-013290104710.1051/e3sconf/202132901047e3sconf_gesd2021_01047key influencing factors and adjustment countermeasures of recovery in heavy oil reservoir of water floodingWei Qingting0Zhen Guinan1Wang Weilong2Qin Jiamin3Luo Hongcheng4Zhao Xuejie5Xue Rui6Wu Xinbo7Xinjiang Oilfield Co., LTD jiqing operating AreaXinjiang Oilfield Co., LTD jiqing operating AreaXinjiang Oilfield Co., LTD jiqing operating AreaXinjiang Oilfield Co., LTD jiqing operating AreaXinjiang Oilfield Co., LTD jiqing operating AreaXinjiang Oilfield Co., LTD jiqing operating AreaE&D Research Institute of DQ OilfieldE&D Research Institute of DQ OilfieldThe recovery ratio is an important indicator to evaluate the effectiveness and performance of oilfield development. In order to clarify the key factors of oilfield recovery ratio in the stage of super-high water cut, 9 dynamic indicators of 12 blocks are analyzed in heavy oil reservoir of eastern China in application of reservoir engineering principles and statistical analysis methods. The results show that the four key factors of recovery are the well density, the ratio of producing wells and injecting wells, net cumulative injecting rate and the bottom hole flow pressure, and the weight of each indicator is quantified. In the horizontal contrast, comprehensive forecasting target recovery is compared with the current recovery by the dynamic method to determine according to typical block BXD. Four of important factors are discussed for the previous trend and the countermeasures of according adjustment are put forward. The proposed method and the results have a certain reference value of the theoretical research and practical application in the stage of super-high water cut oil-field.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/105/e3sconf_gesd2021_01047.pdfsuper-high water cut stagerecovery ratioinfluencing factorscorrelation analysisgrey relational analysis
spellingShingle Wei Qingting
Zhen Guinan
Wang Weilong
Qin Jiamin
Luo Hongcheng
Zhao Xuejie
Xue Rui
Wu Xinbo
key influencing factors and adjustment countermeasures of recovery in heavy oil reservoir of water flooding
E3S Web of Conferences
super-high water cut stage
recovery ratio
influencing factors
correlation analysis
grey relational analysis
title key influencing factors and adjustment countermeasures of recovery in heavy oil reservoir of water flooding
title_full key influencing factors and adjustment countermeasures of recovery in heavy oil reservoir of water flooding
title_fullStr key influencing factors and adjustment countermeasures of recovery in heavy oil reservoir of water flooding
title_full_unstemmed key influencing factors and adjustment countermeasures of recovery in heavy oil reservoir of water flooding
title_short key influencing factors and adjustment countermeasures of recovery in heavy oil reservoir of water flooding
title_sort key influencing factors and adjustment countermeasures of recovery in heavy oil reservoir of water flooding
topic super-high water cut stage
recovery ratio
influencing factors
correlation analysis
grey relational analysis
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/105/e3sconf_gesd2021_01047.pdf
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