scholarly journals Experimental Methods for Investigation of Drilling Fluid Displacement in Irregular Annuli

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5201
Author(s):  
Bjørnar Lund ◽  
Ali Taghipour ◽  
Jan David Ytrehus ◽  
Arild Saasen
Keyword(s):  
Electrical Conductivity ◽  
Large Scale ◽  
Drilling Fluid ◽  
Low Cost ◽  
Relevant Information ◽  
Experimental Methods ◽  
Optical Measurements ◽  
Complex Flow ◽  
Large Scale Systems ◽  
Fluid Displacement

Experimental methods are still indispensable for fluid mechanics research, despite advancements in the modelling and computer simulation field. Experimental data are vital for validating simulations of complex flow systems. However, measuring the flow in industrially relevant systems can be difficult for several reasons. Here we address flow measurement challenges related to cementing of oil wells, where main experimental issues are related to opacity of the fluids and the sheer size of the system. The main objective is to track the propagation of a fluid-fluid interface during a two-fluid displacement process, and thereby to characterize the efficiency of the displacement process. We describe the implementation and use of an array of electrical conductivity probes, and demonstrate with examples how the signals can be used to recover relevant information about the displacement process. To our knowledge this is the most extensive use of this measurement method for studying displacement in a large-scale laboratory setup. Optical measurements and visual observations are challenging and/or costly in such large-scale systems, but can still provide qualitative information as shown in this article. Using electrical conductivity probes is a robust and fairly low-cost experimental method for characterizing fluid-fluid displacement in large-scale systems.

Graphene/graphene nanoplatelets reinforced polyamide nanocomposites: A review

2021 ◽  
pp. 095400832110112
Author(s):  
Himanshu V Madhad ◽  
Nikita S Mishra ◽  
Sunil B Patel ◽  
Siddhi S Panchal ◽  
Rusvi A Gandhi ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
3D Printing ◽  
Aspect Ratio ◽  
Large Scale ◽  
Low Cost ◽  
Academic Research ◽  
Graphene Nanoplatelets ◽  
High Electrical Conductivity ◽  
Multifunctional Nanocomposites ◽  
Preparation Techniques

Graphene and its derivatives have received considerable attention in industrial and academic research due to their unique, useful properties and applications. The use of graphene is still difficult due to its high cost of production. Hence, graphene nanoplatelets (GNPs) have been identified as a substitute for graphene, which are produced in large scale at a very low cost. Moreover, GNPs have played a significant role in various engineering thermoplastic materials [i.e., polyamides (PAs)] to enhance their properties and applications. The GNPs help in the production of low-cost multifunctional nanocomposites with notable useful properties such as high electrical conductivity, mechanical strength, and high aspect ratio. The GNPs based nanocomposites have a broad spectrum of application areas including 3D-printing, automotive materials, electrical appliances, low-cost composites films, and many more. This review summarizes different preparation techniques, properties, and applications of GNPs based PAs nanocomposites as reported in current literature.

Transformation of VLF data into apparent resistivities and phases

Geophysics ◽  
1999 ◽  
Vol 64 (5) ◽  
pp. 1393-1402 ◽  
Author(s):  
Mehran Gharibi ◽  
Laust B. Pedersen
Keyword(s):  
Magnetic Field ◽  
Electrical Conductivity ◽  
Large Scale ◽  
Low Cost ◽  
Real Data ◽  
Geological Structure ◽  
Direct Estimate ◽  
Horizontal Magnetic Field ◽  
Near Surface ◽  
Full Solution

In the VLF method, the ratio between the vertical and the horizontal magnetic field or the total magnetic field anomaly is measured to detect localized changes in electrical conductivity contrasts. Although the VLF technique has probably been the most popular electromagnetic (EM) tool for mapping near‐surface geological structures in a large scale for the past few decades because of the low cost and speed with which surveys can be carried out, the measurements themselves do not give a direct estimate of electrical conductivity. A fast iterative method has been developed to estimate the impedance or apparent resistivity and phases from measurements of the magnetic components at the surface of a 2-D geological structure. From Maxwell’s equations in E-polarization, a relation was derived between the horizontal and vertical components of the magnetic field. A full solution has been obtained by making use of the fact that the secondary horizontal and vertical magnetic fields are of internal origin and form a Hilbert transform pair. Synthetic and real VLF data have been used to evaluate the performance and limitation of the method. Using synthetic and real data, one can achieve a full recovery of the E-polarization impedance as long as the length of the profile is sufficiently long. A number of precautions must be taken to ensure reliable estimation of impedance results.

scholarly journals Simulating and Evaluating a Real-World ElasticSearch System Using the RECAP DES Simulator

2021 ◽  
Vol 13 (4) ◽  
pp. 83
Author(s):  
Malika Bendechache ◽  
Sergej Svorobej ◽  
Patricia Takako Endo ◽  
Adrian Mihai ◽  
Theo Lynn
Keyword(s):  
Real World ◽  
Large Scale ◽  
Low Cost ◽  
Discrete Event ◽  
Distributed Data ◽  
Simulation Experiments ◽  
Large Scale Systems ◽  
Data Indexing ◽  
Simulation Results ◽  
Discrete Event Simulator

Simulation has become an indispensable technique for modelling and evaluating the performance of large-scale systems efficiently and at a relatively low cost. ElasticSearch (ES) is one of the most popular open source large-scale distributed data indexing systems worldwide. In this paper, we use the RECAP Discrete Event Simulator (DES) simulator, an extension of CloudSimPlus, to model and evaluate the performance of a real-world cloud-based ES deployment by an Irish small and medium-sized enterprise (SME), Opening.io. Following simulation experiments that explored how much query traffic the existing Opening.io architecture could cater for before performance degradation, a revised architecture was proposed, adding a new virtual machine in order to dissolve the bottleneck. The simulation results suggest that the proposed improved architecture can handle significantly larger query traffic (about 71% more) than the current architecture used by Opening.io. The results also suggest that the RECAP DES simulator is suitable for simulating ES systems and can help companies to understand their infrastructure bottlenecks under various traffic scenarios and inform optimisation and scalability decisions.

G Optimal Design in Non linear Models to Increase Silicon Oxide Purity Levels and Electrical Conductivity

2018 ◽  
pp. 150-155
Author(s):  
Muklas Rivai
Keyword(s):  
Electrical Conductivity ◽  
Optimal Design ◽  
Linear Models ◽  
Silicon Oxide ◽  
Information Matrix ◽  
Relevant Information ◽  
Non Linear

Optimal design is a design which required in determining the points of variable factors that would be attempted to optimize the relevant information so that fulfilled the desired criteria. The optimal fulfillment criteria based on the information matrix of the selected model.

Decoupling of Large Scale Systems

1984 ◽  
Author(s):  
Dipak C. Shah ◽  
Mahmoud E. Sawan ◽  
Minh T. Tran
Keyword(s):  
Large Scale ◽  
Large Scale Systems
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