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 world of analyzing fuel and lubricants, the use of particle counters is widespread and essential. Numerous reporting standards exist to offer guidance on limits of contamination. If you are in this industry, then you are aware of these different contamination codes and how typical particle counters work for the measurement of contamination particles.
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.
Particle analysis is an important field with broad applications in numerous industries. The demand for reliable and accurate particle analysis techniques has led to the development of various automated tools for particle size analysis. These tools report the particle size in terms of equivalent spherical diameter, a necessary representation for irregularly shaped particles.
Sieve correlation has been a well-established method in particle sizing for many years, but the development of automated dynamic image analysis is beginning to revolutionize the process. In this blog post, we will discuss how automated dynamic image analysis is becoming a complementary method to sieve correlation and how it provides more accurate and detailed results.
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.
