• Title/Summary/Keyword: well productivity

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APPLICATION OF AHP IN IDENTIFYING CONSTRUCTION PRODUCTIVITY FACTORS

  • Ishwar Adhikari;Soo-Yong Kim;Young Dai Lee
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.667-671
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    • 2005
  • Analytical hierarchy process (AHP) is a potential decision making method in management that can be used in project management as well. Lack of productivity is perhaps the number one problem confronting in the construction industry. There are numerous factors which affect the productivity of a construction project, so it is necessary to find out the critical factors giving birth to productivity. In this paper, construction productivity is taken as example for the demonstration of the AHP application to find out the critical productivity factor in which the Level 1 is taken as selection of critical productivity factor, Level 2 as construction parties and Level 3 as productivity factors group. The outcome of this study is beneficial to the entire constructional professionals for applying the AHP.

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The Impact of Technology Adoption on Organizational Productivity

  • LAKHWANI, Monika;DASTANE, Omkar;SATAR, Nurhizam Safie Mohd;JOHARI, Zainudin
    • The Journal of Industrial Distribution & Business
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    • v.11 no.4
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    • pp.7-18
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    • 2020
  • Purpose: This research investigates the impact of technology adoption on organisation productivity. The framework has three independent variables viz. technological change, information technology (IT) infrastructure, and IT knowledge management and one dependent variable as organisational productivity. Research design, data and methodology: An explanatory research design with a quantitative research method was employed, and data was collected using a self-administered questionnaire using online as well as an offline survey. The sample consisted of 300 IT managers and senior-level executives (production as well as service team) in leading IT companies in Malaysia selected using snowball sampling. Normality and reliability assessment was performed in the first stage utilising SPSS 22, and Confirmatory Factory Analysis (CFA) was performed with maximum likelihood estimation to assess the internal consistency, convergent validity, and discriminant validity. Finally, Structural Equation Model (SEM) and path analysis are conducted using AMOS 22. Results: The research findings demonstrated that technological change and IT infrastructure positively and significantly impact the organisation's productivity while IT knowledge management has significant but negative impact on organizational productivity of IT companies in Malaysia. Conclusion: The research concludes that all three factors plays important role in deciding organizational producvity. Recommendations, implications, limitations and future research avenues are discussed.

PRODUCTIVITY PREDICTION MODEL BASED ON PRODUCTIVION INFLUENCING FACTORS: FOCUSED ON FORMWORK OF RESIDENTIAL BUILDING

  • Byungki Kwon;Hyun-soo Lee;Moonseo Park;Hyunsoo Kim
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.58-65
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    • 2011
  • Construction Productivity is one of the most important elements in construction management. It is used in construction process scheduling and cost management, which are significant sector in construction management. It is important to make appropriate schedule and monitor how works are done within schedule. But construction project contains uncertainty and inexactitude, modifying construction schedule is being an issue to manage construction works well. Even though prediction and monitoring of productivity can be principal activity, it is hard to predict productivity with manager's experience and a standard of estimate. A large number of factors influencing productivity, such as drawing, construction method, weather, labor, material, equipment, etc. But current calculation of productivity depends on empirical probability, not consider difference of each influencing factor. In this research, the aim is to present a productivity predicting regression model of form work, which includes effectiveness of influences factors. 5 variables existed inside form work are selected by interview and site research based on literature review of existed various productivity influencing factors. The effectiveness and correlation of productivity influencing factors are analyzed by statistical approach, and it is used to make productivity regression model. The finding of this research will improves monitoring and controlling of project schedule in construction phase.

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High-pressure Air Impulse Technique for Rehabilitating Well and Its Application to a Riverbank Filtration Site in Korea

  • Jeon, Hang-Tak;Hamm, Se-Yeong;Cheong, Jae-Yeol;Han, Suk-Jong;Yun, Sul-Min
    • Journal of Environmental Science International
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    • v.28 no.10
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    • pp.887-898
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    • 2019
  • Rehabilitation work is required to increase well productivity, which decreases with the elapsed time of pumping owing to the clogging of the water well. Clogging causes not only a reduction in the well productivity but also a deterioration of the water quality. For unclogging and rehabilitating wells, several techniques are used such as brushing, air surging, surge blocks, and gas impulse. In this study, the high-pressure air impulse technique, which effectively and economically rehabilitates wells, was applied to a riverbank filtration site in Korea for the same objective. At most of the wells, the hydraulic parameters (transmissivity, storage coefficient, and specific capacity) were increased by the application of the high-pressure air impulse technique. The well loss change values also indicate an increase in the hydraulic parameters by the air impulse implementation. Thus, the high-pressure air impulse technique can be efficiently and economically applied to water and riverbank filtration wells for rehabilitating the decreased productivity.

The Productivity Effects of Worker Participation in Capital (근로자 자본참가의 생산성효과)

  • Nam, Sang-Seob;Ahn, Byung-Ryong
    • The Journal of Information Technology
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    • v.8 no.1
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    • pp.63-81
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    • 2005
  • The purpose of this study is primarily to analyse empirically the productivity effects of worker participation in capital by Korean employee stock ownership plan that had taken newly effect on and after January 1,2002, and secondarily to examine the impact of unionization on productivity. The analysis data are those of 150 firms that listed or registered on the stock market, and introduced ESOP. The result of this study can be summarized as follows. First, the worker participation in capitia have significantly a positive effect on productivity, but the magnitude of those effects vary according to estimation models and sectors. The elasticity of stock share owned by employees on productivity is from 0.03 to 0.24. Second, there is no unitary relationship between unionization and productivity. The coefficients of union dummy variable are positive or negative according to models and sectors as well as insignificant.

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An Empirical Study of the Relations among Wage Differentials, Trade, and Productivity in Korea (임금격차, 무역 및 생산성간의 관계에 대한 실증분석)

  • Heo, Shik;Lee, Sung-Won
    • International Commerce and Information Review
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    • v.8 no.2
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    • pp.299-312
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    • 2006
  • This study examines the relations among wage differentials, trade, and productivity in Korea, using the methodology of Granger causality and vector error correction modelling. Cointegration test results over the 1975-2004 period indicate that all the test variables are cointegrated. Therefore, wage differentials, trade, and productivity are all related in the long run. We found some evidence on long-run relationship, while there is no short-run relationship between three test variables. First, trade and wage differentials have positively and bi-directionally Granger causality in the long-run. Second, productivity Granger causes negatively wage differentials in the long-run. Finally, productivity Granger causes positively trade in the long-run. These results explain partially the current theoretical predictions for wage inequality as well as supports the productivity-led growth hypothesis in the Korean economy.

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Human Resource Competency, Economic Potential, and Village-Based Enterprises' Productivity: The Mediating Role of Governance

  • Ida Bagus Putu Purbadharmaja;Putu Yudi Setiawan;M. Rudi Irwansyah;Bagus Shandy Narmaditya
    • Asian Journal for Public Opinion Research
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    • v.11 no.1
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    • pp.31-53
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    • 2023
  • This study aims to investigate the relationship between human resource competency, economic potential, and productivity of village-based enterprises, as well as understand the role of governance in mediating this relationship. This study was conducted in several village-based enterprises in Bali, Indonesia and the data were collected using questionnaires. Furthermore, the collected data were analyzed quantitatively using partial least analysis to confirm the relationship between variables. The findings indicate that human resource competency has an impact on governance, but it failed to explain the productivity of village-based enterprises. In addition, economic potential can have an impact on the governance and productivity of village-based enterprises in Bali, Indonesia. This study also showed a robust link between governance and productivity. Lastly, based on the statistical analysis, it was found that governance can mediate the relationship between human resource competency, economic potential, and productivity of village-based enterprises.

Influence of complex geological structure on horizontal well productivity of coalbed methane

  • Qin, Bing;Shi, Zhan-Shan;Sun, Wei-Ji;Liang, Bing;Hao, Jian-Feng
    • Geomechanics and Engineering
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    • v.29 no.2
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    • pp.145-154
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    • 2022
  • Complex geological conditions have a great influence on the mining of coalbed methane (CBM), which affects the extraction efficiency of CBM. This investigation analyzed the complicated geological conditions in the Liujia CBM block of Fuxin. A geological model of heterogeneities CBM reservoirs was established to study the influence of strike direction of igneous rocks and fault structures on horizontal well layout. Subsequently, the dual-porosity and dual-permeability mathematical model was established, which considers the dynamic changes of porosity and permeability caused by gas adsorption, desorption, pressure change. The results show that the production curve is in good agreement with the actual by considering gas seepage in matrix pores in the model. Complicated geological structures affect the pressure expansion of horizontal wells, especially, the closer to the fault structure, the more significant the effect, the slower the pressure drop, and the smaller the desorption area. When the wellbore extends to the fault, the pressure expansion is blocked by the fault and the productivity is reduced. In the study area, the optimal distance to the fault is 70 m. When the horizontal wellbore is perpendicular to the direction of coal seam igneous rock, the productivity is higher than that of parallel igneous rock, and the horizontal well bore should be perpendicular to the cleat direction. However, the well length is limited due to the dense distribution of igneous rocks in the Liujia CBM block. Therefore, the horizontal well pumping in the study area should be arranged along the direction of igneous rock and parallel plane cleats. It is found that the larger the area surrounded by igneous rock, the more favorable the productivity. In summary, the reasonable layout of horizontal wells should make full use of the advantages of igneous rock, faults and other complex geological conditions to achieve the goal of high and stable production.

Productivity Growth of Vietnamese Commercial Banks: An Application of Non-Parametric Analysis

  • NGUYEN, Manh Hung
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.9
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    • pp.177-187
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    • 2021
  • The purpose of the research to evaluate the efficiency and productivity growth rate of some Vietnamese commercial banks in the period 2008-2020. Using input and output selection theory, the author selected 2 models, estimating the efficiency for model 1 and estimating the yield change for both the models. We have built a model to estimate the efficiency and calculate as well as decompose the productivity growth of Vietnamese commercial banks during the period of active mergers and acquisitions activities in the banking system. Based on the results of the efficiency estimation, TFP shows during mergers and acquisitions, efficiency fluctuates but in an inverted U-shape (increasing from 2008-2011 but decreasing from 2013 to 2020). The estimated results of the impact assessment model show that FDI reduces the efficiency of banks. Productivity analysis shows that 6 out of 23 banks in the study period had positive TFP growth (tfpch > 1) due to technical progress and management efficiency. The findings of this study suggest that Vietnam's commercial banking system has many opportunities to improve operational efficiency in many aspects. In which, there are opportunities to increase credit, improve governance as well as improve the technology level of each bank. In addition, along with traditional products such as deposits and loans, diversification with a wide range of products and services is an important factor to enhance customer experience and demand in commercial banks.

A Study on Production Well Placement for a Gas Field using Artificial Neural Network (인공신경망 시뮬레이터를 이용한 가스전 생산정 위치선정 연구)

  • Han, Dong-Kwon;Kang, Il-Oh;Kwon, Sun-Il
    • Journal of the Korean Institute of Gas
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    • v.17 no.2
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    • pp.59-69
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    • 2013
  • This study presents development of the ANN simulator for well placement of infill drilling in gas fields. The input data of the ANN simulator includes the production time, well location, all inter well distances, boundary inter well distance, infill well position, productivity potential, functional links, reservoir pressure. The output data includes the bottomhole pressure in addition to the production rate. Thus, it is possible to calculate the productivity and bottomhole pressure during production period simultaneously, and it is expected that this model could replace conventional simulators. Training for the 20 well placement scenarios was conducted. As a result, it was found that accuracy of ANN simulator was high as the coefficient of correlation for production rate was 0.99 and the bottomhole pressure 0.98 respectively. From the resultes, the validity of the ANN simulator has been verified. The term, which could produce Maximum Daily Quantity (MDQ) at the gas field and the productivity according to the well location was analyzed. As a result, the MDQ could be maintained for a short time in scenario C-1, which has the three infill wells nearby aquifer boundary, and a long time in scenario A-1. In conclusion, it was found that scenario A maintained the MDQ up to 21% more than those of scenarios B and C which include parameters that might affect the productivity. Thus, the production rate can be maximized by selecting the location of production wells in comprehensive consideration of parameters that may affect the productivity. Also, because the developed ANN simulator could calculate both production rate and bottomhole pressure, respectively, it could be used as the forward simulator in a various inverse model.