Experimental and Pilot Tests of Deep Profile Control by Injecting Small Slug-Size Nano-Microsphere in Offshore Oil Fields

Su, Yanchun; Li, Yanlai; Wang, Liliei; He, Yifan

doi:10.4043/29452-ms

Cited by 8 publications

(5 citation statements)

References 3 publications

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“…The performance of nano-microspheres with a small slug size was studied by Su et al, and they concluded that the smaller the slug size, the higher the oil recovery. 38 Yao et al used a transparent micromodel packed with fine quartz sand to study the microscopic flow and displacement mechanism of micronsize polyacrylamide elastic microspheres (MPEM) in porous media. 39 The effect of MPME on the flow and displacement behavior in heterogeneous reservoirs was also studied using the parallel sand-filled pipe models.…”

Section: Introductionmentioning

confidence: 99%

“…The matching coefficients between the particle size of PMs and the pore throat diameter of the core were determined to define the migration modes. The performance of nano-microspheres with a small slug size was studied by Su et al, and they concluded that the smaller the slug size, the higher the oil recovery . Yao et al used a transparent micromodel packed with fine quartz sand to study the microscopic flow and displacement mechanism of micron-size polyacrylamide elastic microspheres (MPEM) in porous media .…”

Section: Introductionmentioning

confidence: 99%

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Study on the Profile Control and Oil Displacement Mechanism of a Polymer Nano-microsphere for Oilfield

et al. 2023

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In this study, the mechanism of migration/plugging and the main performance of polymer nano-microspheres (HQ) were investigated using environmental scanning electron microscopy (ESEM), swelling hydration experiments, sand-filling pipe flooding experiments, and microscopic displacement experiments. Results show that the swelling ratio of HQ in salt solution first increases and then reaches equilibrium with the increase in swelling time. The expansion ratio of HQ increases rapidly at the initial stage of swelling and reaches its maximum value after swelling for 7 days. The maximum value of the expansion ratio was 15. In addition, the higher the salinity, the smaller the particle size of the studied microspheres. The particle size of the microspheres increases with increasing temperature. According to the visualized microscopic experiments, the migration and blocking mechanism of microspheres in the pore throat were discovered. When the particle size is 1/3–1/7 times the pore throat diameter, the microsphere particles can enter the interior of the pores. The microspheres aggregate together, and bridge plugging occurs due to the mechanical trapping of pore throats. In this case, the pore throats are blocked by the produced inner filter cake. The pressure at each point fluctuates up and down in a zigzag pattern during the displacement experiment, revealing the “migrated-plugged-breakthrough-replugged” mechanism for HQ. It can be seen from the oil displacement experiment that the final cumulative recovery and the enhanced oil recovery were 65.71 and 17.31%, respectively. Thus, the studied nano-microspheres have excellent oil displacement performance.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on the Profile Control and Oil Displacement Mechanism of a Polymer Nano-microsphere for Oilfield

et al. 2023

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“…To identify wells for profile control, two main ways are used. The first method of well selection is from a qualitative study, while the second one is selected through the existing software packages. In the oil production industry, the fuzzy mathematic evaluation method is usually used to select the wells for profile control. − In the fuzzy evaluation method (FEM), the factor weight calculation is the key component of this method .…”

Section: Introductionmentioning

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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“…8 There are two main methods for selecting wells for plugging. One is through qualitative analysis using the field experience, 9 while the other is with decision-making existing software. The fuzzy math decision-making method is a commonly used method in the oil and gas industry.…”

Section: Introductionmentioning

confidence: 99%

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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Experimental and Pilot Tests of Deep Profile Control by Injecting Small Slug-Size Nano-Microsphere in Offshore Oil Fields

Cited by 8 publications

References 3 publications

Study on the Profile Control and Oil Displacement Mechanism of a Polymer Nano-microsphere for Oilfield

Study on the Profile Control and Oil Displacement Mechanism of a Polymer Nano-microsphere for Oilfield

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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