Field Tests of Organic Additives for Scale Control at the Salton Sea Geothermal Field

1982 ◽  
Vol 22 (01) ◽  
pp. 17-27 ◽  
Author(s):  
J.E. Harrar ◽  
F.E. Locke ◽  
C.H. Otto ◽  
L.E. Lorensen ◽  
S.B. Monaco ◽  
...  

Harrar, J.E., Lawrence Livermore Natl. Laboratory Locke, F.E., Lawrence Livermore Natl. Laboratory Otto Jr., C.H., Lawrence Livermore Natl. Laboratory Lorensen, L.E., Lawrence Livermore Natl. Laboratory Monaco, S.B., Lawrence Livermore Natl. Laboratory Frey, W.P., Lawrence Livermore Natl. Laboratory Abstract A pilot-size brine handling system was operated from Magmamax Well 1 in southern California to study the characteristics of siliceous scale deposition and to evaluate the possibility of treating the brine with chemical additives to control scaling. The rates of formation, chemical constitution, and morphology of the scales were examined as functions of temperature, brine salinity, substrate material, and antiscalant additive activity. Potential antiscalant compounds were screened using a silica-precipitation inhibition test at 90 deg. C. The most active classes of compounds were those containing polymeric chains of oxyethylene and polymeric nitrogen compounds that are cationic in character. The best single compound was Corcat P-18 TM (Cordova Chemical Co. polyethylene imine, molecular weight 1,800). This compound had no effect on the scale formed at 220 deg. C but it reduced the rates of scaling at 125 and 90 deg. C by factors of 4 and 18, respectively, and it also functioned as a corrosion inhibitor. The best additive formulation for the brines of the Salton Sea Geothermal field (SSGF) appears to be a mixture of an organic silica-precipitation inhibitor, a small amount of hydrochloric acid, and a phosphonate crystalline deposit inhibitor. Introduction Interest in utilizing the geothermal resources of the Imperial Valley in California for the generation of electricity has accelerated rapidly in recent years. One resource in particular, the SSGF, is attractive because of its high temperature and size. Recent estimates of its potential for electrical power generation range between 1,300 and 8,700 MW per year (over a 20-year period). The fluid of this resource, however, is a highly corrosive, high-salinity brine containing several constituents that form deposits of scale on power plant components as the brine is cooled. Economical utilization of the SSGF will require techniques for limiting scaling and corrosion to acceptable levels. Scale deposition control at SSGF is particularly difficult because the scale that forms in the portions of the brine handling equipment operating at low pressures and temperatures (100 to 150 deg. C) is predominantly silica and it deposits at rates approaching 0.2 in./D. (Energy extraction systems in which the brine is flashed and injected at high temperature mitigate this problem, but considerable energy is discarded.) Chemical treatment scheme to retard the low temperature scale have been considered, but until recently there have been no systematic investigations of this approach. In 1976, Owen and coworkers demonstrated effective control of the siliceous scales by acidification of the brine with hydrochloric acid, and this technique has been verified in New Zealand by Rothbaum et al. However, for SSGF brines, acidification has several disadvantages:because concentrations >300 ppm of HCl are required, chemical costs are high;the pH of the brine must be lowered from 6 to 3 for complete scale control, and this sharply increases corrosion rates, andacidification tends to interfere with effluent brine treatment Processes involving sludge-bed reactor clarification. Other methods of scale control such as seeding with a silica sludge and the use of scale adhesion inhibitors also have been examined briefly. In this paper we present the results of tests of organic chemical agents for silica scale control in hypersaline geothermal brines. Prior to this work, virtually no knowledge existed on the types of compounds that would interact with silica under the severe geothermal conditions of high temperature, high ionic strength, and high fluid shear rates. Accordingly, to screen a large number of substances rather rapidly, we designed a small-scale flash system as a brine treatment test apparatus and operated it from SSGF Magmamax Well 1 and Woolsey Well 1. SPEJ P. 17^

Geophysics ◽  
1977 ◽  
Vol 42 (3) ◽  
pp. 572-583 ◽  
Author(s):  
Tien‐Chang Lee

Shallow‐hole (<13 m) temperature measurements made at various depths and/or times may yield reliable values of geothermal gradient and thermal diffusivity if the groundwater table is shallow (a few meters) such that the effect of time‐dependent moisture content and physical properties is negligible. Two numerical methods based on nonlinear least‐squares curve fitting are derived to remove the effect of annual temperature wave at the ground surface. One method can provide information on the gradient and diffusivity as a function of depth while the other gives average value over the depth interval measured. Experiments were carried in six test holes cased with 2 cm OD PVC pipes in the Salton Sea geothermal field. A set of 5 to 7 thermistors was permanently buried inside the individual pipes with dry sand. Consistent gradient determinations have been obtained with both numerical methods from six monthly observations. By linearly extrapolating the depths to the 100°C and 200°C isotherms from the calculated gradients and mean ground temperatures, we have found good agreement with the nearby deep‐well data for four holes. Discrepancy is found for two holes, one of which is located near the field of [Formula: see text] mud volcanoes and the other near the volcanic Red Hill, reflecting complicated local hydrologic conditions.


2021 ◽  
Vol 13 (10) ◽  
pp. 5494
Author(s):  
Lucie Kucíková ◽  
Michal Šejnoha ◽  
Tomáš Janda ◽  
Jan Sýkora ◽  
Pavel Padevět ◽  
...  

Heating wood to high temperature changes either temporarily or permanently its physical properties. This issue is addressed in the present contribution by examining the effect of high temperature on residual mechanical properties of spruce wood, grounding on the results of full-scale fire tests performed on GLT beams. Given these tests, a computational model was developed to provide through-thickness temperature profiles allowing for the estimation of a charring depth on the one hand and on the other hand assigning a particular temperature to each specimen used subsequently in small-scale tensile tests. The measured Young’s moduli and tensile strengths were accompanied by the results from three-point bending test carried out on two groups of beams exposed to fire of a variable duration and differing in the width of the cross-section, b=100 mm (Group 1) and b=160 mm (Group 2). As expected, increasing the fire duration and reducing the initial beam cross-section reduces the residual bending strength. A negative impact of high temperature on residual strength has also been observed from simple tensile tests, although limited to a very narrow layer adjacent to the charring front not even exceeding a typically adopted value of the zero-strength layer d0=7 mm. On the contrary, the impact on stiffness is relatively mild supporting the thermal recovery property of wood.


Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 631
Author(s):  
Chunyang Hu

In this paper, deep reinforcement learning (DRL) and knowledge transfer are used to achieve the effective control of the learning agent for the confrontation in the multi-agent systems. Firstly, a multi-agent Deep Deterministic Policy Gradient (DDPG) algorithm with parameter sharing is proposed to achieve confrontation decision-making of multi-agent. In the process of training, the information of other agents is introduced to the critic network to improve the strategy of confrontation. The parameter sharing mechanism can reduce the loss of experience storage. In the DDPG algorithm, we use four neural networks to generate real-time action and Q-value function respectively and use a momentum mechanism to optimize the training process to accelerate the convergence rate for the neural network. Secondly, this paper introduces an auxiliary controller using a policy-based reinforcement learning (RL) method to achieve the assistant decision-making for the game agent. In addition, an effective reward function is used to help agents balance losses of enemies and our side. Furthermore, this paper also uses the knowledge transfer method to extend the learning model to more complex scenes and improve the generalization of the proposed confrontation model. Two confrontation decision-making experiments are designed to verify the effectiveness of the proposed method. In a small-scale task scenario, the trained agent can successfully learn to fight with the competitors and achieve a good winning rate. For large-scale confrontation scenarios, the knowledge transfer method can gradually improve the decision-making level of the learning agent.


2021 ◽  
Author(s):  
Radheesh Dhanasegaran ◽  
Antti Uusitalo ◽  
Teemu Turunen-Saaresti

Author(s):  
Yeshuo Dong ◽  
Xuening Fei ◽  
Hongwei Zhang ◽  
Lu Yu

AbstractMCM-41 mesoporous zeolite was pretreated by high temperature activation and hydrochloric acid treating. TiO


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