scholarly journals Testing an Analytical Model for Predicting Subsurface LNAPL Distributions from Current and Historic Fluid Levels in Monitoring Wells: A Preliminary Test Considering Hysteresis

Water ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2404
Author(s):  
Robert Lenhard ◽  
John Rayner ◽  
J. García-Rincón

Knowledge of subsurface light nonaqueous phase liquid (LNAPL) saturation is important for developing a conceptual model and a plan for addressing LNAPL contaminated sites. Investigators commonly predict LNAPL mobility and potential recoverability using information such as LNAPL physical properties, subsurface characteristics, and LNAPL saturations. Several models exist that estimate the LNAPL specific volume and transmissivity from fluid levels in monitoring wells. Commonly, investigators use main drainage capillary pressure–saturation relations because they are more frequently measured and available in the literature. However, main drainage capillary pressure–saturation relations may not reflect field conditions due to capillary pressure–saturation hysteresis. In this paper, we conduct a preliminary test of a recent analytical model that predicts subsurface LNAPL saturations, specific volume, and transmissivity against data measured at a LNAPL contaminated site. We call our test preliminary because we compare only measured and predicted vertical LNAPL saturations at a single site. Our results show there is better agreement between measured and predicted LNAPL saturations when imbibition capillary pressure–saturation relations are employed versus main drainage capillary pressure–saturation relations. Although further testing of the model for different conditions and sites is warranted, the preliminary test of the model was positive when consideration was given to capillary pressure–saturation hysteresis, which suggests the model can yield reasonable predictions that can help develop and update conceptual site models for addressing subsurface LNAPL contamination. Parameters describing capillary pressure–saturation relations need to reflect conditions existing at the time when the fluid levels in a well are measured.

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2337
Author(s):  
Reza Azimi ◽  
Abdorreza Vaezihir ◽  
Robert Lenhard ◽  
S. Hassanizadeh

We investigate the movement of LNAPL (light non-aqueous phase liquid) into and out of monitoring wells in an immediate-scale experimental cell. Aquifer material grain size and LNAPL viscosity are two factors that are varied in three experiments involving lowering and rising water levels. There are six monitoring wells at varying distances from a LNAPL injection point and a water pumping well. We established steady water flow through the aquifer materials prior to LNAPL injection. Water pumping lowered the water levels in the aquifer materials. Terminating water pumping raised the water levels in the aquifer materials. Our focus was to record the LNAPL thickness in the monitoring wells under transient conditions. Throughout the experiments, we measured the elevations of the air-LNAPL and LNAPL-water interfaces in the monitoring wells to obtain the LNAPL thicknesses in the wells. We analyze the results and give plausible explanations. The data presented can be employed to test multiphase flow numerical models.


2013 ◽  
Vol 14 (1) ◽  
pp. 25-35 ◽  
Author(s):  
Abdorreza Vaezihir ◽  
Mohammad Zare ◽  
James Barker ◽  
Peter Grathwohl ◽  
Ezzat Raeisi

Author(s):  
Emily Elmore ◽  
Khalid Al-Mutairi ◽  
Bilal Hussain ◽  
A. Sherif El-Gizawy

An analytical model is developed to extend the single-phase model to dual-phase applications. The introduced dual-phase model helps in predicting ejector performance, particularly pressure recovery and efficiency, to entrained fluids of a liquid/gas mixture. The empirical loss coefficients are replaced by analytical equations accounting for the geometry of and flow conditions within the individual ejector components. In order to verify the present analytical model predictions, liquid ejector performance is studied experimentally when the entrained fluid is both a single-phase liquid (water) and a dual-phase liquid/gas mixture (water/air). The results show consistently better agreement with the experimental data than those delivered by existing models, reducing the root mean square error of the pressure recovery prediction to less than 10% of its former value.


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