Granular LCM migration and plugging behavior in shear-slip fractures

Bin, Zhu; Tang, Hongming; Wu, You-xin; Gongyang, Chen; Zhao, Feng

doi:10.1080/02726351.2022.2158508

Cited by 3 publications

(2 citation statements)

References 54 publications

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“…This phenomenon intensifies during the initial production of oil and water wells, as well as during well workover operations, acidification, plugging removal, and periods of significant pressure difference during production. 1,2 Particle migration in porous media is influenced by factors such as pore structure, particle geometry and size, fluid viscosity, and seepage velocity. As the carrying capacity of the fluid weakens and the geometry of the seepage channel changes, particles become mechanically trapped, retained, and precipitated in the pore throats, leading to formation clogging.…”

Section: Introductionmentioning

confidence: 99%

“…Unconsolidated sandstone, characterized by high porosity and permeability, as well as loose cementation and abundant clay minerals, is highly prone to particle migration. This phenomenon intensifies during the initial production of oil and water wells, as well as during well workover operations, acidification, plugging removal, and periods of significant pressure difference during production 1,2 . Particle migration in porous media is influenced by factors such as pore structure, particle geometry and size, fluid viscosity, and seepage velocity.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of damage mechanisms and controlling factors of fine particle migration in unconsolidated sandstone reservoirs based on reservoir classification

Wang,

Yin,

Tang

et al. 2024

Energy Science & Engineering

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Particle migration in oil and gas reservoirs is a common phenomenon in the process of oil and gas development, and is considered to be an important reason for the damage of reservoir permeability and the reduction of oil and gas productivity. The mechanism of this phenomenon includes the desorption, migration, and precipitation of particles, which eventually clogs the throat and causes reservoir damage. Therefore, it is necessary to accurately characterize the complex mechanism of particle migration and identify the main controlling factors of particle migration, which is very important for efficient oilfield development and plugging solution. First, the reservoir types are divided into three types and the pore structure models of different types of reservoirs are established. Then, computational fluid dynamics and discrete element coupling method numerical simulation and microscopic visualization of pore throat structure model were combined, to characterize the rules of particles and migration, and analyze the main controlling factors. Finally, a typical model of particle migration and clogging is established. The results show that particle size/throat and particle concentration are the key factors affecting particle plugging, and particle migration has the least effect on the permeability of Type I reservoir and the greatest damage to Type III reservoir. According to the mechanical and hydrodynamic behavior of particles in porous media, three mechanisms and six modes of particle plugging are proposed.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of damage mechanisms and controlling factors of fine particle migration in unconsolidated sandstone reservoirs based on reservoir classification

Wang,

Yin,

Tang

et al. 2024

Energy Science & Engineering

Self Cite

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Visualization experiment on dynamic migration and sealing mechanism of irregular materials in rough fractures

Yang,

Li,

et al. 2024

Geoenergy Science and Engineering

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The Application Potential of Artificial Intelligence and Numerical Simulation in the Research and Formulation Design of Drilling Fluid Gel Performance

Sheng,

He,

et al. 2024

Gels

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Drilling fluid is pivotal for efficient drilling. However, the gelation performance of drilling fluids is influenced by various complex factors, and traditional methods are inefficient and costly. Artificial intelligence and numerical simulation technologies have become transformative tools in various disciplines. This work reviews the application of four artificial intelligence techniques—expert systems, artificial neural networks (ANNs), support vector machines (SVMs), and genetic algorithms—and three numerical simulation techniques—computational fluid dynamics (CFD) simulations, molecular dynamics (MD) simulations, and Monte Carlo simulations—in drilling fluid design and performance optimization. It analyzes the current issues in these studies, pointing out that challenges in applying these two technologies to drilling fluid gelation performance research include difficulties in obtaining field data and overly idealized model assumptions. From the literature review, it can be estimated that 52.0% of the papers are related to ANNs. Leakage issues are the primary concern for practitioners studying drilling fluid gelation performance, accounting for over 17% of research in this area. Based on this, and in conjunction with the technical requirements of drilling fluids and the development needs of drilling intelligence theory, three development directions are proposed: (1) Emphasize feature engineering and data preprocessing to explore the application potential of interpretable artificial intelligence. (2) Establish channels for open access to data or large-scale oil and gas field databases. (3) Conduct in-depth numerical simulation research focusing on the microscopic details of the spatial network structure of drilling fluids, reducing or even eliminating data dependence.

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Granular LCM migration and plugging behavior in shear-slip fractures

Cited by 3 publications

References 54 publications

Analysis of damage mechanisms and controlling factors of fine particle migration in unconsolidated sandstone reservoirs based on reservoir classification

Analysis of damage mechanisms and controlling factors of fine particle migration in unconsolidated sandstone reservoirs based on reservoir classification

Visualization experiment on dynamic migration and sealing mechanism of irregular materials in rough fractures

The Application Potential of Artificial Intelligence and Numerical Simulation in the Research and Formulation Design of Drilling Fluid Gel Performance

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