Analysis of complex erosion models and their implication in the transport of Pisha sandstone sediments

CATENA ◽  
2021 ◽  
Vol 207 ◽  
pp. 105636
Author(s):  
Pan Zhang ◽  
Peiqing Xiao ◽  
Wenyi Yao ◽  
Guobin Liu ◽  
Weiying Sun
Keyword(s):  
Erosion Models

An Improved Computational Fluid Dynamics (CFD) Model for Erosion Prediction in Oil and Gas Industry Applications

2014 ◽  
Author(s):  
Deval Pandya ◽  
Brian Dennis ◽  
Ronnie Russell
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Surface Velocity ◽  
Particle Model ◽  
Model Parameters ◽  
Cfd Model ◽  
Erosion Model ◽  
Erosion Prediction ◽  
Erosion Models ◽  
Computational Fluid Dynamics Cfd

In recent years, the study of flow-induced erosion phenomena has gained interest as erosion has a direct influence on the life, reliability and safety of equipment. Particularly significant erosion can occur inside the drilling tool components caused by the low particle loading (<10%) in the drilling fluid. Due to the difficulty and cost of conducting experiments, significant efforts have been invested in numerical predictive tools to understand and mitigate erosion within drilling tools. Computational fluid dynamics (CFD) is becoming a powerful tool to predict complex flow-erosion and a cost-effective method to re-design drilling equipment for mitigating erosion. Existing CFD-based erosion models predict erosion regions fairly accurately, but these models have poor reliability when it comes to quantitative predictions. In many cases, the error can be greater than an order of magnitude. The present study focuses on development of an improved CFD-erosion model for predicting the qualitative as well as the quantitative aspects of erosion. A finite-volume based CFD-erosion model was developed using a commercially available CFD code. The CFD model involves fluid flow and turbulence modeling, particle tracking, and application of existing empirical erosion models. All parameters like surface velocity, particle concentration, particle volume fraction, etc., used in empirical erosion equations are obtained through CFD analysis. CFD modeling parameters like numerical schemes, turbulence models, near-wall treatments, grid strategy and discrete particle model parameters were investigated in detail to develop guidelines for erosion prediction. As part of this effort, the effect of computed results showed good qualitative and quantitative agreement for the benchmark case of flow through an elbow at different flow rates and particle sizes. This paper proposes a new/modified erosion model. The combination of an improved CFD methodology and a new erosion model provides a novel computational approach that accurately predicts the location and magnitude of erosion. Reliable predictive methodology can help improve designs of downhole equipment to mitigate erosion risk as well as provide guidance on repair and maintenance intervals. This will eventually lead to improvement in the reliability and safety of downhole tool operation.

scholarly journals IMPROVEMENT IN A GENETIC ALGORITHM FOR OPTIMIZATION OF RUNOFF-EROSION MODELS

2000 ◽  
Vol 44 ◽  
pp. 705-710 ◽  
Author(s):  
Celso A. G. SANTOS ◽  
Koichi SUZUKI ◽  
Masahiro WATANABE
Keyword(s):  
Genetic Algorithm ◽  
Erosion Models

scholarly journals COMBINING DATA-DRIVEN AND NUMERICAL MODELLING APPROACHES TO STORM EROSION PREDICTION

2020 ◽  
pp. 38
Author(s):  
Joshua Simmons ◽  
Kristen Splinter
Keyword(s):  
Numerical Models ◽  
Individual Performance ◽  
Study Data ◽  
Data Driven ◽  
Erosion Prediction ◽  
Trade Offs ◽  
Combining Data ◽  
Erosion Models ◽  
Using Data ◽  
The Individual

Physics-based numerical models play an important role in the estimation of storm erosion, particularly at beaches for which there is little historical data. However, the increasing availability of pre-and post-storm data for multiple events and at a number of beaches around the world has opened the possibility of using data-driven approaches for erosion prediction. Both physics-based and purely data-driven approaches have inherent strengths and weaknesses in their ability to predict storm-induced erosion. It is vital that coastal managers and modelers are aware of these trade-offs as well as methods to maximise the value from each modelling approach in an increasingly data-rich environment. In this study, data from approximately 40 years of coastal monitoring at Narrabeen-Collaroy Beach (SE Australia)has been used to evaluate the individual performance of the numerical erosion models SBEACH and XBeach, and a data-driven modelling technique. The models are then combined using a simple weighting technique to provide a hybrid estimate of erosion.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/v53dZiO8Y60

scholarly journals Recent changes in sediment redistribution in the upper parts of the fluvial system of European Russia: regional aspects

2015 ◽  
Vol 367 ◽  
pp. 333-339 ◽  
Author(s):  
O. P. Yermolaev ◽  
V. N. Golosov ◽  
M. V. Kumani ◽  
L. F. Litvin ◽  
I. I. Rysin ◽  
...  
Keyword(s):  
Arable Land ◽  
Russian Plain ◽  
Cultivated Land ◽  
River Channels ◽  
Fluvial System ◽  
Sediment Redistribution ◽  
Erosion Models ◽  
Gully Head ◽  
Major Reduction ◽  
Quantitative Assessments

Abstract. Quantitative assessments of soil loss from cultivated land and sediment redistribution along pathways from cultivated fields to river channels have been undertaken using a range of different methods and techniques, including erosion models, detailed studies of sediment redistribution in representative catchments, monitoring of gully head retreat and evaluation of sediment deposition in ponds and small reservoirs. Most of the sediment eroded from arable land is deposited between the lower portions of the cultivated slopes and the river channels. Less than 15% of the eroded sediment is delivered to the river channels. Sediment redistribution rates in the upper parts of the fluvial system have declined during the last 25 years in both the western and eastern parts of the Russian Plain, because of a major reduction of surface runoff during snowmelt and a reduction of the area of arable land in some parts of the study area.

A review of aeolian transport processes in cold environments

1993 ◽  
Vol 17 (2) ◽  
pp. 137-155 ◽  
Author(s):  
Cheryl McKenna Neuman
Keyword(s):  
Shear Velocity ◽  
Early Spring ◽  
Transport Processes ◽  
Limiting Factors ◽  
Aeolian Transport ◽  
Cold Temperatures ◽  
Cold Environments ◽  
Northern Areas ◽  
Erosion Models ◽  
Semi Empirical

Aeolian environments in Canada experience seasonally cold temperatures. The portion of the annual wind transport occurring between late autumn and early spring usually is perceived as trivial because low temperature transport is difficult to measure reliably, particularly in remote northern areas, and because warm climate based semi-empirical wind erosion models are intractable for temperatures below 0°C. Very little is known about the processes contributing to the phenomenal aeolian transport associated with the Pleistocene Epoch, but supply limiting factors were likely as important then as they are in contemporary high latitude environments, although the wind and solar radiation regimes of this glacial period are not exactly replicated. Field and simulation work on the boundary layer and surface controls, which include wind shear velocity, air density, sediment texture, pore water, snow, ice, and vegetation, suggests a complex system of interactions. Frozen and wet surfaces, traditionally viewed as stable, become very active under certain circumstances.

Selecting suitable climate models for examining future changes in soil erosion

2021 ◽  
Author(s):  
Neil Brannigan ◽  
Donal Mullan ◽  
Karel Vandaele ◽  
Conor Graham ◽  
Jennifer McKinley ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Model Selection ◽  
Climate Models ◽  
Climate Model ◽  
Study Region ◽  
Extreme Precipitation Events ◽  
Suitable Climate ◽  
Erosion Models ◽  
Soil Erosion By Water ◽  
The Impact

&lt;p&gt;Climate models consistently project large increases in the frequency and magnitude of extreme precipitation events in the 21st century, revealing the potential for widespread impacts on various aspects of society. While the impacts on flooding receive particular attention, there is also considerable damage and associated cost for other precipitation driven phenomena, including soil erosion and muddy flooding. Multiple studies have shown that climate change will worsen the impacts of soil erosion and muddy flooding in various regions. These studies typically drive erosion models with a single model or a few models with little justification. A blind approach to climate model selection increases the risk of simulating a narrower range of possible scenarios, limiting vital information for mitigation planning and adaptation. This study provides a comprehensive methodology to efficiently select suitable climate models for simulating soil erosion and muddy flooding. For a case study region in eastern Belgium using the WEPP soil erosion model, we compare the performance of our novel methodology against other model selection methods for a future period (2081 &amp;#8211; 2100). The main findings reveal that our novel methodology is successful in generating the widest range of future scenarios from a small number of models, when compared with other ways of selecting climate models. This approach has not previously been achieved for modelling soil erosion by water. Other precipitation-driven impact sectors may also wish to consider applying this method to assess the impact of future climatic changes, so that the worst- and best-case scenarios can be adequately prepared for.&lt;/p&gt;

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