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Related Concept Videos

Typical Model Studies01:30

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

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Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
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Plane Potential Flows01:23

Plane Potential Flows

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Uniform Flow
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Rapidly Varying Flow01:24

Rapidly Varying Flow

Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
Eulerian and Lagrangian Flow Descriptions01:22

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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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Published on: June 1, 2022

A forward modeling approach for interpreting impeller flow logs.

Alison H Parker1, L Jared West, Noelle E Odling

  • 1Centre for Water Science, Building 39, Cranfield University, Cranfield, MK43 0AL, UK. a.parker@cranfield.ac.uk

Ground Water
|August 5, 2009
PubMed
Summary
This summary is machine-generated.

This study presents a new method for interpreting noisy impeller flow log data to accurately determine hydraulic conductivity variations in aquifers. The approach uses physical models and statistical selection to improve understanding of groundwater flow.

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Area of Science:

  • Hydrogeology
  • Geophysics

Background:

  • Impeller flow logging measures vertical flow speed in wells to infer groundwater inflows.
  • Noisy flow log data can lead to inaccurate hydraulic conductivity estimations with simplistic interpretation methods.

Purpose of the Study:

  • To develop and apply a rigorous, practical approach for interpreting impeller flow log data.
  • To accurately determine vertical variations in hydraulic conductivity in Chalk aquifers.

Main Methods:

  • A new interpretation method is presented, involving defining physical models for hydraulic conductivity.
  • Models are fitted to noisy well log data using regression techniques.
  • A maximum likelihood approach, balancing model complexity and fit (e.g., Akaike's Information Criterion), selects the best model.

Main Results:

  • The presented method provides a more reliable interpretation of impeller flow log data.
  • Accurate determination of vertical hydraulic conductivity variations is achieved.
  • Application to Chalk aquifer well logs in England demonstrates the method's efficacy.

Conclusions:

  • The developed method offers a significant improvement over simplistic approaches for impeller flow log interpretation.
  • This approach enhances the understanding of groundwater flow dynamics and aquifer properties.
  • The technique is valuable for hydrogeological assessments in similar geological settings.