Water-based drilling muds are a critical component in the drilling industry. They offer a balance of efficiency, cost-effectiveness, and environmental safety. The physical characteristics of these muds, such as particle size and shape, play a pivotal role in their performance. Image analysis can help decipher the properties of these muds.
Choices are often limited when it comes to particle analysis. Your sample, and indeed, application, can reduce the scope of equipment variability. Ultimate precision is typically only achievable in the lab. Yet generalizability to real-life contexts often requires a natural setting. The trouble with field analysis is its inherent lack of control. It is generally conducted among larger samples and is thus more time-consuming than lab-based particle analysis.
In the dynamic world of drilling operations, achieving peak efficiency is a complex and multifaceted challenge. A critical but often overlooked aspect in this realm is the role of advanced particle size and shape analysis. This innovative approach to particle analysis revolutionizes our understanding and optimization of materials in drilling processes.
Water quality hinges significantly on understanding and managing particle concentration within a given water supply. The Particle Insight Raptor Portable, a recently launched instrument, has emerged as a crucial tool in conducting meticulous particle concentration measurements. This article delves into the technicalities and applications of this instrument, shedding light on its capabilities in analyzing water quality, especially in wastewater samples.
In the rapidly advancing world of battery technology, quality control and performance optimization are paramount. Historically, the particle size of powders used in batteries, especially lithium and graphite, has been the primary focus. However, recent research and industry trends have illuminated the significance of another parameter: particle shape.
Hydraulic fracturing, or fracking, has revolutionized the energy industry, unlocking vast reserves of previously inaccessible natural gas and oil. This innovative technique involves injecting a high-pressure fluid into a wellbore to create small fractures in deep rock formations, allowing natural gas or oil to flow more freely. However, maintaining the integrity of these fractures is a significant challenge facing the industry.
Dynamic image analysis (DIA) is a digital method of particle characterization that enables a researcher to identify the shape, size, and number of particles in a sample. Due to its high accuracy and reproducibility, DIA is a widely used image analysis method across most industries to support quality control, compliance, and research applications.
Particle size is a crucial property to measure when dealing with particulate raw materials. It underlies key manufacturing parameters like flowability, packing, and wetting–each of which can have a demonstrable impact on the end quality of a part or product.
Creating parts using metal powders requires exceptional high-quality raw materials. Many analytical tools are used to pre-screen metal powders to ensure proper powder flowability, prevent clogging, and ensure adequate particle deposition to guarantee well-made parts.
Particle size reduction is a routine method of increasing surface area and making downstream processing more efficient. It is well documented that particle size distribution (PSD) affects powder flowability. However, studies have demonstrated the limitations of particle size analysis – particularly in applications with irregular particles. Ignoring particle shape can lead to significant under-estimation of the mean particle size which leads to errors in PSD results.
