Selection criteria for slurry trench cutoffs

1983 ◽  
Vol 10 (3) ◽  
pp. 527-537
Author(s):  
M. D. Haug ◽  
Paul Kozicki
Keyword(s):  
Selection Process ◽  
Selection Procedure ◽  
Poor Performance ◽  
Engineering Properties ◽  
Cutoff Wall ◽  
Factors Affecting ◽  
Wide Range ◽  
Slurry Trench ◽  
Open Trench ◽  
Selection Of

Slurry trench cutoff walls have been employed for over three decades and are becoming increasingly popular for controlling seepage of groundwater and hazardous wastes. They are also gaining acceptance for construction of underground facilities. The technique involves the excavation of a narrow trench in the presence of a bentonitic fluid or slurry. The slurry acts to support the open trench until it is backfilled with an impermeable material. The increase in popularity of these walls has been aided by the development of new construction techniques. These techniques offer the designer a wide range of engineering properties for the cutoff wall. However, there are few published guidelines on the selection of slurry trench cutoffs. This has resulted in situations where the cutoff wall selected was originally designed for a totally different application. The net effect in these cases has been poor performance and an unsatisfactory cutoff wall.This paper examines the principal methods of constructing slurry trench cutoffs, establishes their engineering characteristics, and presents a procedure for selecting a slurry trench cutoff. The factors which influence the selection are identified and discussed. The methodology of the selection process is reviewed with an example. This review and examination of the selection procedure demonstrates that it is an effective method of compiling and systematically analyzing the relevant factors affecting selection of slurry trench cutoffs.

scholarly journals Selection of the most adequate trip-modelling tool for integrated transport planning system

2016 ◽  
Vol 37 (1) ◽  
pp. 55-66 ◽  
Author(s):  
Piotr Sawicki ◽  
Marcin Kiciński ◽  
Szymon Fierek
Keyword(s):  
Selection Criteria ◽  
Selection Process ◽  
Regional Scale ◽  
Selection Procedure ◽  
Planning System ◽  
Second Phase ◽  
Transport Planning ◽  
Phase Selection ◽  
Technical Requirements ◽  
Selection Of

This paper deals with the problem of selection the most suitable trip-modelling tool (TMT), which is a part of the more complex integrated transport planning system (ITPS) at the regional scale. Since an application of TMT is not autonomous and several different users exist the selection problem is not a trivial. In this paper, an original five-phase selection procedure is presented. The first phase consists in specifica¬tion of both, detailed expectations of all identified users and technical requirements of ITPS. Second phase deals with research on available TMT while a third one is concentrated on defining a comprehensive set of criteria. In this phase critical criteria as well as selection criteria are defined. First one is utilised to eliminate unacceptable TMTs in phase four and second one to evaluate and select most adequate TMT in phase five. In the paper an exemplary application of this procedure is presented. The authors have defined 2 critical criteria and a set of 19 selection criteria. The last one is divided into 3 main subsets, i.e. functional, technical and financial contexts of selection process. All the selection criteria are characterised by 43 sub-criteria and some of them are more detailed extended. Using this procedure 3 out of 6 alternative TMTs including Emme, Aimsun and Visum have been initially accepted and next evaluated. Finally, Visum has been selected and recommended for application into ITPS.

scholarly journals Study on Well Selection Method for Refracturing Horizontal Wells in Tight Reservoirs

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4202
Author(s):  
Qihong Feng ◽  
Jiawei Ren ◽  
Xianmin Zhang ◽  
Xianjun Wang ◽  
Sen Wang ◽  
...  
Keyword(s):  
Horizontal Wells ◽  
Engineering Properties ◽  
Tight Oil ◽  
Well Test ◽  
Tree Model ◽  
Factors Affecting ◽  
Comprehensive Index ◽  
Tight Reservoirs ◽  
Potential Evaluation ◽  
Selection Of

Refracturing technology is one of the key technologies to recover the productivity of horizontal wells in tight oil reservoirs, and the selection of best candidate wells from target blocks is the basis of this technology. Based on the refracturing production database, this paper analyzes the direct relationship between geological data, initial fracturing completion data, and dynamic production data, and the stimulation effect of refracturing. Considering the interaction among multiple factors, the factors affecting the stimulation effect of refracturing are classified and integrated, and a comprehensive index including geology, engineering, and production is constructed, making this index meaningful both for physical and engineering properties. The XGBoost decision tree model is established to analyze the weight of influence for the comprehensive index of geology, engineering, and production in predicting the stimulation effect of refracturing. A comprehensive decision index of refracturing well selection is formed by combining the above three for performing a fast selection of horizontal candidate wells for fracturing. Taking a horizontal well test area in Songliao Basin as an example, the target wells of refracturing are selected by this method, and field operation is carried out, and a good stimulation effect is achieved. The results show that the comprehensive decision-making index constructed by this method is reliable and has certain guiding significance for well selection and stimulation potential evaluation of tight oil reservoir.

Factors affecting wool scouring performance, yield and colour measurements of Western Australian fleece wools

2006 ◽  
Vol 46 (7) ◽  
pp. 921 ◽  
Author(s):  
D. J. Westmoreland ◽  
A. C. Schlink ◽  
J. C. Greeff
Keyword(s):  
Colour Change ◽  
Department Of Agriculture ◽  
Factors Affecting ◽  
Colour Measurements ◽  
Wide Range ◽  
Sequential Samples ◽  
Western Australian Department ◽  
Western Australian ◽  
Residual Ash ◽  
Selection Of

A benchtop scouring procedure was used to evaluate the ability of conventional detergent scouring systems to adequately clean fleece samples from a selection of Western Australian Merino wools. Sixteen fleeces were selected from the Western Australian Department of Agriculture resource flocks, covering a wide range in yield (49.2 to 77.5%), wax (7.3 to 26.9%), suint (4.9 to 11.6%), and dust (1.4 to 16.3%) contents. Using a simple detergent-based system, 50% of the fleeces were classified as effectively scoured, based on residual wax content. When scouring liquor was not refreshed between subsamples drawn from the same fleece, wool wax, staple length and dust content in the greasy fleece accounted for 93% of the variation in the rate of residual wax increase observed in sequential 10 g samples of wool. Residual ash content also increased but the greasy fleece parameters measured were not statistically significant predictors of residual ash changes. The rate of scoured wool colour change, when sequential samples of greasy wool from the same fleece were scoured without liquor change, could be predicted from greasy fleece yields. The scouring efficiency of the more difficult to scour wools was improved by the addition of sodium carbonate to the main scouring bowls.

Components for Composite Material Customization System

2009 ◽  
Author(s):  
Soumitra Nandi ◽  
Zahed Siddique
Keyword(s):  
Composite Materials ◽  
Material Selection ◽  
Selection Process ◽  
Material Design ◽  
Optimization Techniques ◽  
Conventional Approach ◽  
Wide Range ◽  
Properties Of Materials ◽  
Selection Of

With the advancements of composite materials and research in nano-composites, designers have the flexibility to select materials from a wide range of properties to meet their specific design needs. Even with all these advancements, the material selection process during design follows a very conventional approach. The conventional approach to material design is to select a certain material from a given pre-set material list that allows the attainment of nearest properties required for the product. One of the disadvantages of this approach is that the trade-off inherent in the selection of material, when multiple properties are targeted, can be cumbersome to achieve or addressed at all. In this paper we present an approach to select and design composite materials, where the designer will have flexibility to select multiple properties of materials during the design of a new product. This approach employs an index for selection combined with heuristic optimization techniques to select the optimized combination of composite materials that could meet closest possible property goals. In the case study presented in this paper, we did not perform any optimization; rather, emphasize is given to the explanation of material selection technique, and an RMS value is introduced as an index for the selection.

Modeling Biomass Gasification: A New Approach to Utilize Renewable Sources of Energy

2008 ◽  
Author(s):  
M. Vaezi ◽  
M. Passandideh-Fard ◽  
M. Moghiman ◽  
M. Charmchi
Keyword(s):  
Selection Procedure ◽  
Calorific Value ◽  
Gas Temperature ◽  
New Approach ◽  
Wide Range ◽  
Specific Biomass ◽  
Thermochemical Equilibrium ◽  
Biomass Materials ◽  
Gasification Efficiency ◽  
Selection Of

Thermochemical equilibrium modeling is the basis of the numerical method implemented in this study to predict the performance of a biomass gasifier. To validate the model, a close agreement is shown between numerical and experimental results. The model is then used in order to optimize the selection procedure of a specific biomass for a certain application. For this purpose, the minimum and maximum amount of carbon, hydrogen, and oxygen for 55 different biomass materials are extracted to calculate the range of variation of oxygen content and carbon/hydrogen ratio. The influences of such variations on syngas characteristics are then studied. Syngas characteristics are comprised of syngas calorific value, outlet gas temperature, gasification efficiency, and the volume of syngas obtained. The results are plotted in a generalized format that may be used for a wide range of biomass materials. These plots can be used for the selection of a biomass material based on desired conditions. Therefore, the developed model in this study provides a tool for design optimization of a biomass downdraft gasifier.

Factors Affecting Agricultural Employee’s Job Satisfaction

2017 ◽  
Vol 33 (01) ◽  
Author(s):  
B. G. Abiona
Keyword(s):  
Job Satisfaction ◽  
Organizational Climate ◽  
Selection Procedure ◽  
Study Data ◽  
Creative Work ◽  
Allocation Of Resources ◽  
Factors Affecting ◽  
Recruitment And Selection ◽  
Positive Step ◽  
Selection Of

For this study, data were gathered from 80 randomly selected agricultural employees. Major planning for their job satisfaction were made for (1) Inducing conducive organizational climate for creative work (x ̅ =4.60), (2) Making necessary decisions during planning(x ̅=4.48), and reducing unnecessary pressure or intimidation (x ̅=4.40). Secondly, recruitment and selection procedure that affects employees job satisfaction includes: Positive step in staffing (x ̅=3.82) and advertisement of vacant positions (x ̅= 3.75). Major challenges affecting employees job satisfaction were inefficient allocation of resources (x ̅=2.04) and absence of special allowances (x ̅= 1.8). Significant relationship (p less than 0.05) existed between employees income (r=0.045), Challenges faced by the employees (r= 0.246,), Planning (r=0.393), Recruitment and Selection (r=0.608) and job satisfaction. For perfect requirement and selection of employees, allocation of appropriate resources and adequate planning must be adopted by the organization.

scholarly journals Optimization of Building Components with Sustainability Aspects in BIM Environment

2018 ◽  
Author(s):  
Mostafa Khanzadi ◽  
Ali Kaveh ◽  
Mohammad Rastegar Moghaddam ◽  
Seyyed Mohammad Pourbagheri
Keyword(s):  
Sustainable Development ◽  
Energy Saving ◽  
Building Materials ◽  
Selection Process ◽  
Optimal Combination ◽  
Wide Range ◽  
Procurement Cost ◽  
Building Components ◽  
Selection Of

In recent decades, the variety of building materials has grown a great deal causing the selection of suitable materials from a wide range of candidates to be complex and difficult. One of the main criteria to be considered in this area, besides reducing procurement cost, is paying attention to various aspects affecting the dimensions of sustainable development, such as increasing energy saving, applying recyclable materials and localization.This paper proposes a framework in the BIM environment - as one of the successful approaches in the AEC industry - which allows the project stakeholders to choose the most desired and optimal combination for their building components with least human interference in the selection process makes systematic choices. In order to achieve the purposes embedded in the framework phases, several methods such as ENSCBO, DEA and VIKOR have been utilized in order to evaluate and depict the selection process, this is implemented as a Revit plugin and eventually applied to a case study.

FACTORS AFFECTING THE SELECTION OF CONTRACTORS IN GREEN BUILDING PROJECTS

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Asli Gurgun ◽  
Mehmet Ozbek
Keyword(s):  
Selection Process ◽  
Green Building ◽  
Sustainable Construction ◽  
Extensive Literature ◽  
Rating Systems ◽  
Past Performance ◽  
Building Projects ◽  
Factors Affecting ◽  
Major Factors ◽  
Selection Of

The growing interest in sustainable design and construction introduces new set of risks specific to green building projects. One of the challenges in green building projects that require special consideration is the selection of the appropriate contractors to ensure that the targeted sustainability goals of the projects will be achieved. Rapid growth of green building movement requires that contractors that are willing to be active in sustainable construction learn green building rating systems, application processes, green products, and related laws and regulations. This study investigates major factors affecting the selection of contractors that will be responsible for the construction of projects aiming certification through green building certification systems. An extensive literature survey was completed to identify the significant factors in the selection process, which are important for the successful completion of the projects. It is found that experience in green building projects and certification system procedures, managerial approach, technical approach, price, past performance, and qualifications are important in the selection of contractors in green buildings.

Cochlear Implant Recipients: Device Selection Preferences and Experiences

2016 ◽  
Vol 1 (9) ◽  
pp. 4-20
Author(s):  
Cache Pitt ◽  
Christina Heitzinger ◽  
Lauri Nelson ◽  
Elizabeth Preston ◽  
Karen Muñoz
Keyword(s):  
Cochlear Implant ◽  
Online Survey ◽  
Selection Process ◽  
Influential Factors ◽  
Wide Range ◽  
Survey Results ◽  
Device Manufacturer ◽  
To Receive ◽  
Post Implantation ◽  
Selection Of

Cochlear implants can provide benefit for many deaf and hard of hearing individuals. When candidacy for implantation is determined, recipients are often responsible for selecting the manufacturer of their own cochlear implant. Recipients may, however, encounter various challenges in the selection process, due to the complexity of information and lack of standardization for patient education. This study explored the experiences of cochlear implant recipients with the selection process, including influential factors in their selection, their commitment to the implant, and their post-implantation perceptions. Eighty recipients who had received their implant within the last 12 months completed an online survey. Results of the survey revealed that a wide range of factors influenced selection, that most recipients chose a device without direct recommendations from their audiologist, and that many would have preferred to receive advice from their cochlear implant center in the selection of the device manufacturer.

scholarly journals Intelligent Retail Forecasting System for New Clothing Products Considering Stock-out

2017 ◽  
Vol 25 (0) ◽  
pp. 10-16 ◽  
Author(s):  
He Huang ◽  
He Huang ◽  
Qiurui Liu
Keyword(s):  
Fuzzy Inference ◽  
Selection Process ◽  
New Products ◽  
Demand Forecasting ◽  
Fast Fashion ◽  
Inference System ◽  
Factors Affecting ◽  
Neuro Fuzzy ◽  
Wide Range ◽  
Forecasting System

Improving the accuracy of forecasting is crucial but complex in the clothing industry, especially for new products, with the lack of historical data and a wide range of factors affecting demand. Previous studies more concentrate on sales forecasting rather than demand forecasting, and the variables affecting demand remained to be optimized. In this study, a two-stage intelligent retail forecasting system is designed for new clothing products. In the first stage, demand is estimated with original sales data considering stock-out. The adaptive neuro fuzzy inference system (ANFIS) is introduced into the second stage to forecast demand. Meanwhile a data selection process is presented due to the limited data of new products. The empirical data are from a Canadian fast-fashion company. The results reveal the relationship between demand and sales, demonstrate the necessity of integrating the demand estimation process into a forecasting system, and show that the ANFIS-based forecasting system outperforms the traditional ANN technique.

Sign in / Sign up

Export Citation Format

Share Document