A simplified model for estimating field-scale surface runoff hydrographs

2007 ◽  
Vol 21 (13) ◽  
pp. 1772-1779 ◽  
Author(s):  
Renato Morbidelli ◽  
Corrado Corradini ◽  
Rao S. Govindaraju
Keyword(s):  
Surface Runoff ◽  
Simplified Model ◽  
Field Scale ◽  
Runoff Hydrographs ◽  
Scale Surface

Simplified Model for Simulating Basin-Scale Surface Runoff Hydrographs

2008 ◽  
Vol 13 (3) ◽  
pp. 164-170 ◽  
Author(s):  
Renato Morbidelli ◽  
Rao S. Govindaraju ◽  
Corrado Corradini ◽  
Alessia Flammini
Keyword(s):  
Surface Runoff ◽  
Simplified Model ◽  
Basin Scale ◽  
Runoff Hydrographs ◽  
Scale Surface

Evaluation of a Field-Scale Surface Aeration System in an Anaerobic Poultry Lagoon

2010 ◽  
Vol 26 (2) ◽  
pp. 307-318 ◽  
Author(s):  
S. Mukhtar ◽  
M. S. Borhan ◽  
S. Rahman ◽  
J. Zhu
Keyword(s):  
Field Scale ◽  
Surface Aeration ◽  
Aeration System ◽  
Scale Surface

A Simplified Model for Field-Scale Surfactant-Polymer Flooding

2014 ◽  
Author(s):  
Chanya Thirawarapan ◽  
Marco R. Thiele ◽  
Anthony Kovscek ◽  
Roderick Batycky ◽  
Torsten Clemens
Keyword(s):  
Polymer Flooding ◽  
Simplified Model ◽  
Field Scale

A Field-Scale Surface Aeration System to Reduce Odor Generation

2009 ◽  
Vol 52 (2) ◽  
pp. 615-620 ◽  
Author(s):  
C. Dong ◽  
J. Zhu ◽  
C. F. Miller
Keyword(s):  
Field Scale ◽  
Surface Aeration ◽  
Aeration System ◽  
Odor Generation ◽  
Scale Surface

Field-Development Optimization of the In-Situ Upgrading Process Including the Ramp-Up Phase

SPE Journal ◽  
2021 ◽  
pp. 1-16
Author(s):  
Faruk O. Alpak ◽  
Guohua Gao
Keyword(s):  
Steady State ◽  
Objective Function ◽  
Oil Recovery ◽  
Optimization Algorithm ◽  
Net Present Value ◽  
Performance Indicator ◽  
Field Scale ◽  
Field Development ◽  
Scale Surface

Summary Field-development optimization and optimization at the pattern scale are crucial to maximize the value of thermal enhanced-oil-recovery (EOR) projects. Application of a field net-present-value (NPV)-based pattern optimization algorithm honoring field-scale surface and subsurface constraints for in-situ-upgrading (IUP) projects has been described in the recent past. In this paper, we describe the development and application of a novel field-development-optimization capability, including the optimization of the ramp-up phase to accelerate the production to achieve a faster cash flow and high surface-facility utilization. We integrate this new capability into a robust field NPV optimization platform. A two-stagefield-development optimization algorithm is developed in this work. First, the steady-state pattern is optimized using the field-scale pattern optimization algorithm while honoring field-scale constraints and using a combined surface and subsurface performance-indicator-driven objective function. Ramp-up pattern designs are optimized separately using a solely pattern-scaleperformance-driven objective function in this stage. A preliminary pattern-delay time optimization follows next to precondition the problem for the subsequent field-scale optimization stage. The ramp-up pattern and pattern-delay times are optimized using a constant steady-state pattern in the second step of the algorithm. An appropriately penalized field-NPV-based objective function is used in this step to enforce field-scale surface and subsurface constraints. Optimization results on a realistic example application indicate that the time to oil-rate plateau could be significantly reduced on the order of multiple years while honoring the surface production constraints. This requires the use of an optimized ramp-up pattern in conjunction with the optimal steady-state pattern. The ramp-up pattern is approximately two patterns wide and features an increased heater density to deliver production acceleration. It is also notably more robust against the effects of subsurface uncertainties.

Examining the implications of spatial variability of saturated soil hydraulic conductivity on direct surface runoff hydrographs

CATENA ◽  
2021 ◽  
Vol 207 ◽  
pp. 105693
Author(s):  
Rodrigo César Vasconcelos dos Santos ◽  
Marcelle Martins Vargas ◽  
Luís Carlos Timm ◽  
Samuel Beskow ◽  
Tirzah Moreira Siqueira ◽  
...  
Keyword(s):  
Hydraulic Conductivity ◽  
Spatial Variability ◽  
Surface Runoff ◽  
Saturated Soil ◽  
Soil Hydraulic Conductivity ◽  
Soil Hydraulic ◽  
Runoff Hydrographs

Upscaling riparian lowland buffer zone flow dynamics in the Danish nitrogen model

2020 ◽  
Author(s):  
Saskia Noorduijn ◽  
Anker Højberg
Keyword(s):  
Surface Water ◽  
Surface Runoff ◽  
Nitrate Reduction ◽  
Groundwater Discharge ◽  
Flow Dynamics ◽  
Small Scale ◽  
Field Scale ◽  
National Scale ◽  
Flow Pathways ◽  
Reduction Capacity

<p>The importance of riparian lowland buffer zones on surface and ground-water quality has recently received greater attention within Denmark. Significant funding has been made available to re-establish riparian lowlands to reduce nitrate loading to streams, as well as reducing GHG emissions. Surface water nitrate loads are currently estimated using the national nitrogen model, the scale of this model is unable to capture the flow dynamics of small-scale riparian lowlands. Therefore, the model is unable to account for the spatial and temporal variation in the nitrate reduction in the riparian lowlands. Consequently, the current focus is on upscaling the hydrological impacts of riparian lowlands so they may be incorporated into the national scale model in a consistent and transparent way.</p><p>Key to quantifying the impacts of riparian lowlands on the surface water nitrate loading is partitioning flow pathways, e.g., surface runoff, groundwater discharge, and drain flow. For example, the likelihood of nitrate reduction within a riparian lowland dominated by surface runoff is low, conversely if groundwater discharge dominants the likelihood is higher. Determining a relationship between the small-scale riparian flow pathways and larger scale landscape features, such as drainage area, slope, and aquifer geometry, may provide a means to upscale and quantify the reduction capacity of a lowland riparian zone.</p><p>Numerous field scale riparian lowland investigations have focused on describing the hydraulic processes, but very few investigations have attempted to quantify the flow pathways and/or provide insight into how this information may be used at a larger scale. This investigation will aim to simulate and quantify the observed flow pathways at the field scale for two field sites in Jutland (Fensholt and Holtum), Denmark. These simulations will aid in identifying the keys landscape features which can be used to determine the reduction capacity of riparian lowlands at the national scale.</p>

Sign in / Sign up

Export Citation Format

Share Document