The Application of Complex Seismic Attributes in Thin Bed Reservoir Analysis

Geologic models of hydrocarbon reservoirs facilitate enhanced visualization, volumetric calculation, well planning and prediction of migration path for fluid. In order to obtain new insights and test the mappability of a geologic feature, spectral decomposition techniques i.e. Discrete Fourier Transform (DFT), Short-Time Fourier Transform (STFT), Maximum Entropy, Hilbert Transform (HT), etc. can be employed. This paper presents the results of the application of DFT and HT to a two dimensional, 50Hz low impedance wedge model, representing typical geologic environment around a prospective hydrocarbon zone. While the DFT represents the frequency and phase spectra of a signal, assumes stationarity and highlights the average properties of its dominant portion, assuming analytical, the HT computes the imaginary part and assumes non-stationarity of the signal. Our algorithm is based on fast Fourier convolution technique. It was developed from first principles and outside oil industry’s interpretational platform using standard processing routines such as Matlab, Gnuplot, programs. The results of the algorithm, when implemented on both oil industry (e.g. Kingdom Suite) and general platforms, were comparable. The spectral properties of the wedge model indicate that complex attributes can be utilized as powerful tool in exploration problems to enhance visualization of small scale anomalies and obtain reliable estimates of wavelet and stratigraphic parameters. The practical relevance of this investigation is illustrated by means of cross-sections and maps constructed from the model data. These provide enhanced images of the subtle features of the model and serve as basis for the interpretation of similar geologic situations in field data. Keywords: Discrete Fourier transform, Hilbert transform, Maximum Entropy, Short time Fourier transform, Spectral decompositio

Material Selection for Fuel Fired Crucible Furnace Using GRANTA

The study investigated the material selection for the fuel fired crucible furnace using bubble charts. The results were generated using GRANTA software. Different properties were considered during the selection of the materials for the furnace. The appropriate engineering materials were sought locally for the design and construction of the fuel fired crucible furnace. Among several parameters taken into consideration are strength/weight ratio, formability, cost and ability to fulfill specific service functions. All these were taken into consideration during the material selection process for the fuel-fired crucible furnace. These properties were plotted against each other in bubble chart and the selection of the appropriate candidate material was done on the bubble chart. The software plotted the properties of each unit of the furnace in form of bubbles and the candidate material where selected from the bulk of materials suggested by the software. The functions, objectives and constraints of the parts or the units to be designed were adequately specified and the material properties to be selected were determined based on these fundamental parameters

Modeling heat flow across fuel-fired crucible furnace using ADINA

-The study simulated the heat flow across a fuel-fired crucible furnace using ADINA Software. Appropriate engineering materials were selected for the design and construction of the fuel fired crucible furnace. Among several parameters taken into consideration were strength/weight ratio, formability, cost and ability to fulfill specific service functions. Heat dissipation to the outside was minimal and this was clearly shown in the temperature gradient. Heat dissipation was uniform within the flame gap and inside the crucible pot. The Kaolin refractory material used showed very good insulation capacity significantly reduced heat losses. The modeled temperature distribution profile, heat flux and the temperature gradient were all in agreement with the validated results

Information Sharing and Collaboration Practices in Reverse Logistics

Abstract Purpose -The purpose of this study is to investigate how the use of information technology (IT) and supply chain management initiatives (information sharing and collaboration) impact a company's performance in reverse logistics (RL). Design/methodology/approach -A survey based on a previous exploratory research and literature review was sent out to 600 US companies having substantial activities in RL. Issues addressed in the survey, such as IT types deployed, IT operational attributes, information sharing, and collaboration, involve multiple parties in multi-tier RL networks, extending beyond a simple buyer-supplier dyad. Findings -The results revealed that the type of IT used per se did not have a differential impact on a company's performance in RL. However, IT operational attributes positively affected RL performance and information sharing and collaboration are critical to RL performance. Practical implications -Investment in IT alone cannot improve a company's performance; managers should take full account of IT attributes when deciding IT in RL. IT operational attributes tend to support one another -an improvement in one would lead to improvements in the others. With no exception in RL, companies need to share information and collaborate with their partners. Originality/value -The paper reports an empirical survey of the IT use and collaboration practices in RL, and provides insights into the relationships and impacts of IT, RL operational attributes, information sharing, and collaboration on one another as well as on RL performance

The Thermal Analysis of Fuel Fired Crucible Furnace Using Autodesk Inventor Simulation Software

The reasons for failure of locally made furnace in the foundries were as a result of cycles of operating temperatures that they were subjected to, which caused thermal stress and strain on the furnaces. This paper studied the simulation of thermal analysis of Fuel fired Crucible Furnace to predict the effect of thermal stress and strain on it

Factors influencing employee perceptions in lean transformations

The purpose of the study was to investigate employee perceptions during a lean transformation1. The combination of case study and survey methodologies was used to define elements influencing the perceived lean success of shop floor employees. According to our findings, belief, commitment, work method and communication all have a considerable direct impact on workers’ perceptions of lean success. However, their effects are very different based on the scope and focus of changes that is influenced by process characteristics. Perceptions regarding successful lean transformation during a moderate reorganisation of the company’s welding plant, where mainly males work, are affected only by commitment and work method, whereas the deep reorganisation of the sewing plant (populated by female employees) is only influenced by belief and communication

An examination of the role of service quality and perceived value in visitor attraction experience

© 2018 Elsevier Ltd The purpose of this paper is to examine the relationships between service quality, perceived value, satisfaction and behavioural intentions in the UK attraction context. Data was collected in the Midlands Region of the UK from two visitor attractions utilising a mixed-mode survey approach. A total of 507 usable questionnaires were analysed using ordinary least squares (OLS) multiple regression analysis to examine the relationship between the constructs. The findings confirm the cognitive-affective-conative order between the service constructs within the context of UK visitor attractions. This study has improved the understanding of the role of value in service experiences, particularly in the attraction context, providing evidence that value exerts substantial influence on satisfaction and behavioural intention. More specifically, emotional value exerts more influence on satisfaction and behavioural intention than other forms of value. Managers need to view the visitor experience holistically rather than concentrating on one or two service constructs

Structural and properties of Zn-Al2O3-SiC nano-composite coatings by direct electrolytic process

In this paper, Zn-SiC and Zn-Al2O3-SiC composite coating were fabricated by electrodeposition technique from sulfates bath. The resulting composite coating was carried out by adding Al2O3/SiC particulate to a zinc-containing bath. The properties of the composite coating were investigated by SEM equipped with EDS, XRD, and AFM. The electrochemical behavior of the coating alloy was evaluated in 3.65 % NaCl with linear polarization technique and mechanically examined by durascan microhardness tester. The morphology of the thermal treated coatings at 400 °C in 6 h was viewed with high optical microscope (OPM). The results show hardness, thermal stability, and anti-corrosion properties of Zn-Al2O3-SiC were improved significantly as against Zn- SiC coating matrixes. This was attributed to dispersive strengthening effect and grain induced effort of Al2O3/SiC particulate. The decrease in corrosion and thermal stability at 15 g/L of SiC concentration may be as a result of agglomeration and the superimposed particle in the plating bath