Determine Level of Thief Zone Using Fuzzy ISODATA Clustering Method

Wang, Shuoliang; Jiang, Hanqiao

doi:10.1007/s11242-010-9634-4

Cited by 15 publications

(5 citation statements)

References 1 publication

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“…Preferential flow path is commonly believed to be a tubular porous medium with extremely high permeability and large pore/throat radius, in which fluid flow is dominant for the whole reservoir [4] , [13] . Fig.…”

Section: Methodsmentioning

confidence: 99%

A Hybrid Analytical/Numerical Model for the Characterization of Preferential Flow Path with Non-Darcy Flow

2013

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Due to the long-term fluid-solid interactions in waterflooding, the tremendous variation of oil reservoir formation parameters will lead to the widespread evolution of preferential flow paths, thereby preventing the further enhancement of recovery efficiency because of unstable fingering and premature breakthrough. To improve oil recovery, the characterization of preferential flow paths is essential and imperative. In efforts that have been previously documented, fluid flow characteristics within preferential paths are assumed to obey Darcy's equation. However, the occurrence of non-Darcy flow behavior has been increasingly suggested. To examine this conjecture, the Forchheimer number with the inertial coefficient estimated from different empirical formulas is applied as the criterion. Considering a 10% non-Darcy effect, the fluid flow in a preferential path may do experience non-Darcy behavior. With the objective of characterizing the preferential path with non-Darcy flow, a hybrid analytical/numerical model has been developed to investigate the pressure transient response, which dynamically couples a numerical model describing the non-Darcy effect of a preferential flow path with an analytical reservoir model. The characteristics of the pressure transient behavior and the sensitivities of corresponding parameters have also been discussed. In addition, an interpretation approach for pressure transient testing is also proposed, in which the Gravitational Search Algorithm is employed as a non-linear regression technology to match measured pressure with this hybrid model. Examples of applications from different oilfields are also presented to illustrate this method. This cost-effective approach provides more accurate characterization of a preferential flow path with non-Darcy flow, which will lay a solid foundation for the design and operation of conformance control treatments, as well as several other Enhanced Oil Recovery projects.

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Section: Methodsmentioning

confidence: 99%

A Hybrid Analytical/Numerical Model for the Characterization of Preferential Flow Path with Non-Darcy Flow

2013

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“…A probabilistic clustering method was proposed to solve the multifacility location problem, and the probability at each iteration depends on the travel costs based on hub locations [43]. e iterative self-organizing data analysis technique algorithm (ISODATA) can effectively eliminate transmission errors through the dynamic correction of the cluster centre [44,45]. is gives it an advantage over k-means clustering without a given cluster quantity, which meets the requirement of basic ULS hub division.…”

Section: Logistics Location For Uls Networkmentioning

confidence: 99%

Design of a Support System for Complicated Logistics Location Integrating Big Data

Cheng

Pan

2021

Advances in Civil Engineering

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Logistics location is an important component of logistics planning that affects traffic pressure and vehicle emissions. To date, there has not been an adequate study of the integration of big data into the location for a complicated logistics system. This study developed a decision support system that can address location problems for complicated logistics systems, e.g., a multilevel urban underground logistics system (ULS), using logistics big data. First, information needed in the logistics location, such as the traffic performance index (TPI) and the origin/destination (OD) matrix, was collected and calculated using a big data platform, and this information was digitized and represented based on a geographic information system (GIS) tool. Second, a two-stage location model for a ULS was designed to balance the construction costs and traffic congestion. The first stage is establishing a set-covering model to identify optimum locations for secondary hubs based on the ant colony optimization algorithm, and the second stage is clustering of the secondary hubs to determine locations for primary hubs using the iterative self-organizing data analysis technique algorithm (ISODATA). Finally, the Xianlin district of Nanjing, China, was chosen as a case study to validate the effectiveness of the proposed system. The system can be used to facilitate logistics network planning and to promote the application of big data in logistics.

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“…A comprehensive appraisal standard for CO 2 -EOR and sequestration in Yanchang Oilfield was proposed by using fuzzy comprehensive evaluation and analytic hierarchy process methods in this paper [16,17], as shown in Table 1.…”

Section: Screening Standard For Co 2 -Eor and Sequestrationmentioning

confidence: 99%

Evaluation of CO2 enhanced oil recovery and sequestration potential in low permeability reservoirs, Yanchang Oilfield, China

Zhao

Yin

2014

Journal of the Energy Institute

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Determine Level of Thief Zone Using Fuzzy ISODATA Clustering Method

Cited by 15 publications

References 1 publication

A Hybrid Analytical/Numerical Model for the Characterization of Preferential Flow Path with Non-Darcy Flow

A Hybrid Analytical/Numerical Model for the Characterization of Preferential Flow Path with Non-Darcy Flow

Design of a Support System for Complicated Logistics Location Integrating Big Data

Evaluation of CO2 enhanced oil recovery and sequestration potential in low permeability reservoirs, Yanchang Oilfield, China

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