Application of Entropy-Weight Hierarchy Analysis on Study of Height Prediction of Water Conducted Zone

Xu, Min; Zhao, De Shen

doi:10.4028/www.scientific.net/amr.742.497

Cited by 2 publications

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“…In FEM, the factor weight can be calculated using a variety of approaches. The entropy approach, the criterion importance method, the analytic hierarchy process, and the inter-criteria correlation are a few examples. − The entropy weight is compared to the results of the FEM and RF approaches in this research. Zheng and Tian presented the entropy approach for determining the factor weight in 2009 .…”

Section: Resultsmentioning

confidence: 99%

Optimization and Performance Evaluation of a Foam Plugging Profile Control Well Selection System

et al. 2023

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Most of the oilfields are currently experiencing intermediate to late stages of oil recovery by waterflooding. Channels were created between the wells by water injection and its effect on the oil recovery is less. The use of water plugging profile control is required to control excessive water production from an oil reservoir. First, the well selection for profile control using the fuzzy evaluation method (FEM) and improvement by random forest (RF) classification model is investigated. To identify wells for profile control operation, a fuzzy model with four factors is established; then, a machine learning RF algorithm was applied to create the factor weight with high accuracy decision-making. The data source consists of 18 injection wells, with 70% of the well data being utilized for training and 30% for model testing. Following the fitting of the model, the new factor weight is determined and decisions are made. As a consequence, FEM selects 7 out of 18 wells for profile control, and by using the factor weight developed by RF, 4 out of 18 wells are chosen. Then, the profile control is conducted through a foam system proposed by laboratory experiments. A computer molding group numerical simulation model is created to profile the wells being selected by both methods, FEM and RF. The impact of foam system plugging on daily oil production, water cut, and cumulative oil production of both methods are contrasted. According to the study, the reservoir performed better when four wells were chosen by the weighting system developed by RF as opposed to seven wells that were chosen using the FEM model during the effective period. The weighting model developed by RF accurately increased the profile control wells' decision-making skills.

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Section: Resultsmentioning

confidence: 99%

Optimization and Performance Evaluation of a Foam Plugging Profile Control Well Selection System

et al. 2023

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Decision-Making Techniques for Water Shutoff Using Random Forests and Its Application in High Water Cut Reservoirs

et al. 2021

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The major oil fields are currently in the middle and late stages of waterflooding. The water channels between the wells are serious, and the injected water does little effect. The importance of profile control and water blocking has been identified. In this paper, the decision-making technique for water shutoff is investigated by the fuzzy evaluation method, FEM, which is improved using a random forest, RF, classification model. A machine learning random forest algorithm was developed to identify candidate wells and to predict the well performance for water shutoff operation. A data set consisting of 21 production wells with three-year production history is used, where out of the mentioned well data, 70% of them are implemented for training and the remaining are used for testing the model. After fitting the model, the new weights for the factors are established and decision-making is made. Accordingly, 16 wells out of 21 wells are selected by the FEM where 8 wells out of 21 wells are selected by the new factor weight created by RF for water shutoff. A numerical simulation model is established to plug the selected wells by both methods after which the influence of plugging on water cut, daily oil production, and cumulative oil production is compared. The paper shows that the reservoir had a better performance after eight wells were selected using a new weighting system created by RF instead of the 16 wells that were selected using the FEM model. The paper also states that the new weighting model’s accuracy improved the decision-making abilities of the wells.

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Application of Entropy-Weight Hierarchy Analysis on Study of Height Prediction of Water Conducted Zone

Cited by 2 publications

References 0 publications

Optimization and Performance Evaluation of a Foam Plugging Profile Control Well Selection System

Optimization and Performance Evaluation of a Foam Plugging Profile Control Well Selection System

Decision-Making Techniques for Water Shutoff Using Random Forests and Its Application in High Water Cut Reservoirs

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