The Lasagna Technology for In Situ Soil Remediation. 1. Small Field Test

1999 ◽  
Vol 33 (7) ◽  
pp. 1086-1091 ◽  
Author(s):  
Sa V. Ho ◽  
Christopher Athmer ◽  
P. Wayne Sheridan ◽  
B. Mason Hughes ◽  
Robert Orth ◽  
...  
1999 ◽  
Vol 33 (7) ◽  
pp. 1092-1099 ◽  
Author(s):  
Sa V. Ho ◽  
Christopher Athmer ◽  
P. Wayne Sheridan ◽  
B. Mason Hughes ◽  
Robert Orth ◽  
...  

2021 ◽  
Author(s):  
Xiaoyue Guan ◽  
Gary Li ◽  
Hanming Wang ◽  
Shubo Shang ◽  
Timothy Tokar ◽  
...  

Abstract Radio frequency (RF) heating is recognized as a technique having the potential to thermally enhance remediation of hydrocarbon-impacted soil. RF heating delivers electromagnetic (EM) power to a targeted body of soil, resulting in an increased soil temperature that enhances the in-situ remediation processes such as biodegradation. Antennas are placed either on the ground or installed in the soil near the ground surface. The antennas operate in the hundreds of kHz to MHz range. To model the RF heating process, we successfully coupled a reservoir simulator with a 3-dimensional (3D) EM solver to evaluate the ability of RF technology to heat soil in situ. The coupled reservoir/EM simulator solves the EM fields and associated heating for a heterogeneous reservoir or soil volume in the presence of multiple antennas. The coupling was accomplished through a flexible interface in the reservoir simulator that allows the runtime loading of third-party software libraries with additional physics. This coupled workflow had been previously used for studying RF heating for heavy oil recovery (Li 2019). An RF heating simulation case study was performed in support of a soil remediation field test designed to demonstrate the ability to heat soils using EM energy. The study included field test data analysis, simulation model building, and history matching the model to test data. Results indicate, on average, the soil was heated ∼2-3°C above the initial formation temperature after approximately two days (52 hours) of RF heating. We found that the RF heating was local, and our simulation model, after tuning input parameters, was able to predict a temperature profile consistent with the field test observations. With properly designed RF heating field pilots and tuning of EM and reservoir parameters in simulation models, the coupled reservoir/EM simulator is a powerful tool for the calibration, evaluation, and optimization of RF heating operations.


RSC Advances ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 4237-4246
Author(s):  
Tian Xie ◽  
Zhi Dang ◽  
Jian Zhang ◽  
Qian Zhang ◽  
Rong-Hai Zhang ◽  
...  

The combination of pump-and-treat and in situ chemical oxidation processes can effectively accelerate the remediation of DNAPL pollutant in groundwater.


1997 ◽  
Vol 44 (4) ◽  
pp. 206-212 ◽  
Author(s):  
Tadachika SENO ◽  
Yushi HIRATA
Keyword(s):  

2012 ◽  
Vol 446-449 ◽  
pp. 1914-1917
Author(s):  
Zhi Tao Ma ◽  
Han Long Liu ◽  
Yong Ping Wang ◽  
Ji Ming Zhu
Keyword(s):  

SPE Journal ◽  
2019 ◽  
Vol 24 (06) ◽  
pp. 2711-2730
Author(s):  
A.. Perez–Perez ◽  
M.. Mujica Chacín ◽  
I.. Bogdanov ◽  
A.. Brisset ◽  
O.. Garnier

Summary In–situ upgrading (IU) is a promising method of improved viscous– and heavy–oil recovery. The IU process implies a reservoir heating up and exposure to a temperature higher than 300°C for a time period long enough to promote a series of chemical reactions. The pyrolysis reactions produce lighter oleic and gaseous components, while a solid residue remains underground. In this work, we developed a numerical model of IU using laboratory experience (kinetics measurements and core experiments) and validated the results by applying our model to an IU field–scale test published in the literature. Finally, we studied different operational conditions in a search for energy–efficient configurations. In this work, two types of IU experimental data are used from two vertical–tube experiments with Canadian bitumen cores (0.15 and 0.69 m). A general IU numerical model for the different experimental setups has been developed and compared with experimental data, using a commercial reservoir–simulator framework. This model is capable of representing the phase distribution of pseudocomponents, the thermal decomposition reactions of bitumen fractions, and the generation of gases and residue (solid) under thermal cracking conditions. Simulation results for the cores exposed to a temperature of 380°C and production pressure of 15 bar have shown that oil production (per pseudocomponent) and oil–sample quality were well–predicted by the model. Some differences in gas production and total solid residue were observed with respect to laboratory measurements. Computer–assisted history matching was performed using an uncertainty–analysis tool with the most–important model parameters. To better understand IU field–scale test results, the Shell Viking pilot (Peace River) was modeled and analyzed with the proposed IU model. The appropriate gridblock size was determined and the calculation time was reduced using the adaptive mesh–refinement (AMR) technique. The quality of products, the recovery efficiency, and the energy expenses obtained with our model were in good agreement with the field test results. In addition, the conversion results (upgraded oil, gas, and solid residue) from the experiments were compared with those obtained in the field test. Additional analysis was performed to identify energy–efficient configurations and to understand the role of some key variables (e.g., heating period and rate and the production pressure) in the global IU upgrading performance. We discuss these results, which illustrate and quantify the interplay between energy efficiency and productivity indicators.


1994 ◽  
Vol 19 (1) ◽  
pp. 267-268
Author(s):  
Z. D. DeLamar ◽  
T. P. Mack

Abstract This field test was conducted in conventionally planted and tilled soybeans at the E. V. Smith Plant Breeding Unit of Auburn University at Tallassee, AL. Eleven treatments including an untreated control were replicated 4 times in a RCBD. Each plot was 6 rows wide (30 inch row spacing) and 40 ft long. Replicates were separated by a 15 ft alley. Treatments were applied in water on 13 Aug using a boom sprayer with one 80003 flat fan nozzle per row operating at 32 psi and delivering 8.0 gal/acre. Insect populations were monitored with 2 beat sheet samples per plot. One beat sheet sample was done when 36 inches of the 2 adjacent rows were sampled by beating the plants vigorously over the beat sheet. Insects were identified and recorded in situ. Samples were taken 18 h before treatment and at 3, 7 and 10 DAT.


Materials ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 4309 ◽  
Author(s):  
Maiara Barbosa Ferreira ◽  
Aline Maria Sales Solano ◽  
Elisama Vieira dos Santos ◽  
Carlos A. Martínez-Huitle ◽  
Soliu O. Ganiyu

In recent years, due to industrial modernization and agricultural mechanization, several environmental consequences have been observed, which make sustainable development difficult. Soil, as an important component of ecosystem and a key resource for the survival of human and animals, has been under constant contamination from different human activities. Contaminated soils and sites require remediation not only because of the hazardous threat it possess to the environment but also due to the shortage of fresh land for both agriculture and urbanization. Combined or coupled remediation technologies are one of the efficient processes for the treatment of contaminated soils. In these technologies, two or more soil remediation techniques are applied simultaneously or sequentially, in which one technique complements the other, making the treatment very efficient. Coupling anodic oxidation (AO) and soil remediation for the treatment of soil contaminated with organics has been studied via two configurations: (i) soil remediation, ex situ AO, where AO is used as a post-treatment stage for the treatment of effluents from soil remediation process and (ii) soil remediation, in situ AO, where both processes are applied simultaneously. The former is the most widely investigated configuration of the combined processes, while the latter is less common due to the greater diffusion dependency of AO as an electrode process. In this review, the concept of soil washing (SW)/soil flushing (SF) and electrokinetic as soil remediation techniques are briefly explained followed by a discussion of different configurations of combined AO and soil remediation.


2019 ◽  
Vol 53 (13) ◽  
pp. 7483-7493 ◽  
Author(s):  
Paul W. Reimus ◽  
Martin A. Dangelmayr ◽  
James T. Clay ◽  
Kevin R. Chamberlain

Sign in / Sign up

Export Citation Format

Share Document