In complex drilling environments, the dielectric characteristics of the near-bit fluid (drilling muds) can directly reflect its content and nature of the solid-phase particles, liquids and gases. The dielectric consta...
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In complex drilling environments, the dielectric characteristics of the near-bit fluid (drilling muds) can directly reflect its content and nature of the solid-phase particles, liquids and gases. The dielectric constant and conductivity are two major electrical parameters of near-bit fluids, whose values make a difference to the amplitude and phase of measured signals, ultimately leading to insufficient accuracy in understanding fluid properties during drilling. This is one of the reasons why downhole gas kick and mud loss cannot be effectively controlled. Therefore, clarifying the dielectric properties of near-bit fluids is an essential job in identifying and interpreting complex operating conditions of downhole wells. Considering that the water content, temperature, and density of the fluid can affect its dielectric characteristics to varying degrees, this paper adopts a sensor with four-core annular electrodes to measure the dielectric characteristics of the near-bit fluid. Based on the finite element method (FEM), a simulation modeling experiment is conducted on the current density distribution of dielectric sensors, and a dielectric measurement system prototype is designed and built, mainly including dielectric sensors, a hardware control circuit, and an upper computer. The results show that the system can be used to access the dielectric characteristic parameters of the near-bit fluid, further verifying the feasibility of safety prewarning over the drilling process through dielectric characteristic monitoring.
With the number of low Earth orbit satellites and the expansion of application demands, satellite trajectory prediction is crucial for efficiently operating satellite systems. Traditional trajectory prediction methods...
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The proceedings contain 83 papers. The topics discussed include: aspects of DASD performance;capacity management - an overview and description;effective use of cached DASD in a data base/data communication environment...
The proceedings contain 83 papers. The topics discussed include: aspects of DASD performance;capacity management - an overview and description;effective use of cached DASD in a data base/data communication environment;graphical tools for software system performance engineering;introduction to computer service selection methods;introduction to tuning batch applications;performance prediction and validation of interacting multiple subsystems in skew-loaded cached DASD;the cone theory as applied to computer workload forecasting;approaches to estimating and controlling software costs;capacity planning for management;concepts for improved data set organization;system performance management and capacity planning;workload characterization of IMS using cluster analysis;and a new cost analysis approach for information systems.
Medical imaging and diagnostic applications of RF systems are often limited by the vast variation in material parameters between different test subjects. Magnetic resonance imaging (MRI) RF systems, for example, are s...
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Combinators, as defined originally by Moses Schönfinkel, give rise to a Turing-complete model of computation. This paper presents a diagrammatic representation of combinators as presheaves defined over a category...
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Total p-norm Variation (TpV) is a well-established technique in image processing, used to denoise and preserve edges. However, the related non-convex minimization is still a challenging task in optimization, both for ...
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Imagery sentiment analysis is a complex task, the aim of which is the interpretation of both local and global visual signs in order to correctly classify the emotions ordered by the image. CNNs old architectures commo...
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While the Internet of Things (IoT) has greatly facilitated our daily lives, this trend has encountered numerous security challenges in data storing and sharing especially for sensitive personal data. Identity-Based Br...
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The Research Concentrates on simulating and investigating dynamic crowd using Gaussian Mixture Models (GMM) and synthetic time-series data in real time smart city environments. A novel approach generates and designs v...
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Vast spaces with inadequate telecommunications infrastructure pose a challenge to deploy IoT systems. A tech stack is proposed and implemented on TASKcloud at Gdansk Tech, based on widely available open-source technol...
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