Innovative Methodology for Assessing the Condition, Certification, Systematization and Accounting of Oil-Contaminated Sites

The article describes an innovative method for assessing the condition, certification, systematization and accounting of oil-contaminated sites. The paper offers three-dimensional models, tables on the volume content of petroleum products, tables of the distribution of plots into reclamation groups, QR codes and parcel codes necessary for targeted elimination of the consequences of oil and petroleum products spills in the soil. This technique involves the construction of three-dimensional models of oil-contaminated sites, necessary to reflect the volume of soil contamination, numerical visualization of oil pollution volumes using various data tables, as well as the creation of QR codes and parcel codes, which are necessary to improve the system of accounting, storage and certification of oil-contaminated land.

Numerical visualization of drop and opening process for parachute-payload system adopting fluid–solid coupling simulation

In order to study the fluid–solid coupling dynamic characteristics of parachute-payload system during drop process and analyze the unsteady aerodynamic characteristics under finite mass opening conditions, an adaptive moving fluid mesh method is developed on the basis of the existing arbitrary Lagrangian–Eulerian (ALE) fluid–solid coupling method. The calculation results of open force and drop velocity on the C-9 parachute demonstrate the effectiveness of this method. On this basis, the effect of canopies with three different permeability on parachute-payload system motion characteristic including opening property, steady descent property and stability is studied. Comparative analysis is conducted for structures and characteristics of vortex with different canopy materials, and interference mechanism of unsteady flow for parachute-payload system in unsteady oscillation is revealed. The results show that the adaptive moving fluid mesh method can effectively eliminate restrictions of existing simulation methods for parachute-payload system and significantly reduce calculation time. For the lightweight parachute, permeability has significant effect on kinetic characteristic of parachute-payload system. Canopy with large permeability has small opening load and structural stress in opening stage. After opening, there are mainly small vortexes distributed evenly behind the canopy with good stability. However, canopy with small permeability has obvious breath behavior and oscillation in opening stage. The main vortexes periodically shed off after opening. With the change of permeability from small to large, Parachute-payload system eventually presents three steady descent modes: conical descent, gliding descent and stable vertical descent. Graphical abstract

A Predictive Model to Detect the Impending Electric Submersible Pump Trips and Failures

Trips and failures are common occurrences in the Electric Submersible Pump (ESP) systems. The random nature of these trips and failures will lead to low industry run-life and high workover costs for ESP companies and operators. To perform early detection and take corrective actions to handle the potential incidents, ESP operation data collected from downhole and surface sensors are used to perform diagnostics and prognostics to identify trips and failures. In this study, Principal Component Analysis (PCA) method serves as a pre-processing method to retain the most essential principal components to reevaluate the initial ESP system. For a single well system, the Squared Prediction Error (SPE) and Hotelling T-square statistic (T2) equations are employed for numerical visualization in the new principal component space and therefore detection of the potential ESP trips or failures. For the whole well group, the score plot of three principal components provides a solution that enables to distinguish different clusters of stable operation, trip and failure regions, and diagnose the upcoming ESP trips and failures. In this way, the predictive model is bulit to continuously analyze the ESP operation and automatically perform health monitoring for any ESP system. This paper concludes that the predictive model has the potential to construct a real-time proactive surveillance system to identify dynamic anomalies and therefore predict developing trips or failures in the ESP system.

Numerical Visualization of Grease Flow in a Gearbox

The authors have requested that this preprint be withdrawn due to erroneous posting.

Digital technologies, big data and ideological (neoliberal) fantasies

Many fantasies hold that digitalisation can construct democratic spaces for discussing experiences about educational matters. However, based on thinkers such as Rancière, Žižek and Agamben, it is argued that increased big data production in education through digitalisation does not support such democratic spaces. Instead, it mirrors a neoliberal fantasy and a form of instrumentarian power that distributes the sensible in mechanical (numerical) ways. Democracy in education is at risk of being dismantled by perceptions that democratic conversations and struggles are unproductive and do not contribute to the desired numerical visualization of learning results, achievements and competitiveness of students.