Eliminating Cavitation Damage In High-Energy Water Injection Pumps By Suction Impeller Redesign

Case Stud

Learning English as a Foreign Language: A Vehicle to Another Self? A Multiple Case Study of Saudi Female University Learners of English

Research on the relationship between language learning and identity has received more attention in recent years. It is argued that there is a two-way relationship between language learning and identity i.e., one’s sense of self; as a learner’s identity affects his/her learning, and learning a new language has implications on a learner’s identity. Most studies within this field have focused on how learner identity affects the learning process and its outcomes in second language settings. Not as much attention has been paid to if and how language learning may influence how a person views himself/herself. In this study, the goal is to explore how Saudi female learners of English as a foreign language view themselves and the factors affecting them during the learning process. The study uses second language socialization as a theoretical framework because it is a comprehensive approach that acknowledges the dynamic nature of identity and the social cultural nature of language learning. A multiple case study design was used in this investigation. Interviews, diaries, field notes and a background information form were used to gather data from six Saudi female university students of English. Cross-case comparison of the results of thematic analysis revealed that participants’ identities were dynamic as they associated learning English with being different in the areas of knowledge and culture, confidence and power, acceptance and understanding, self-expression and lifestyle. The results also revealed the complexity of the participants’ identities as they described their identities as Western, hybrid and multiple. Through learning English, learners appeared to create images of how they wanted to be in the future i.e., imagined identities. The findings also revealed that the learners’ experience of learning English was affected by internal factors, such as investment and agency, and external factors, such as people’s attitudes toward English and media and social media

Characterizing fluid contacts by joint inversion of seismic P-wave impedance and velocity

Abstract In the past, seismic exploration technique was mainly used for gathering information about subsurface rock structures and fluids by analyzing the travel time, reflection amplitude, and phase variations. However, nowadays, many additional seismic attributes have been introduced by the seismic interpreters, which aid in the visualization of subsurface geological structures, facies, and lithologies. This research aims to identify the pore fluids in the reservoir using post-stacked seismic data without requiring well log data. Gassmann’s equation, a well-known equation for fluid substitution, has been used for fluid substitution in this research. To test the proposed technique, a three-layer geological anticline model has been used. The third layer of the model represents a reservoir which is saturated with water, except its top part which is fully saturated with petroleum. Fluid identification is achieved by using fluid density, velocity changes, and acoustic impedance (AI). P-wave velocity and AI are measured from post-stacked seismic data and its inversion, from which the saturated rock density and compressional modulus (M) are calculated. Using this information, saturated rock density and compressional modulus are inverted for fluid velocity and density, respectively, to identify the pore fluid

Viscoelastic Model and Synthetic Seismic Data of Eastern Rub’Al-Khali

The Rub’ Al-Khali basin in Saudi Arabia remains unexplored and lacks data availability due to its remoteness and the challenging nature of its terrain. Thus far, there are neither digital geologic models nor synthetic seismic data from this specific area accessible for testing research techniques and analysis. In this study, we build a 2D viscoelastic model of the eastern part of the Rub’ Al-Khali basin and generate a corresponding dual-component seismic data set. We compile high-resolution depth models of compressional- and shear-wave velocities, density, as well as compressional- and shear-wave quality factors from published data. The compiled models span Neoproterozoic basement up to Quaternary sand dunes. We then use the finite-difference technique to model the propagation of seismic waves in the compiled viscoelastic medium of eastern Rub’ Al-Khali desert. In particular, we generate vertical and horizontal components of the shot gathers with accuracy to the fourth and second orders in space and time, respectively. The viscoelastic models and synthetic seismic datasets are made available in an open-source site for prospective re-searchers who desire to use them for their research. Users of these datasets are urged to make their findings also accessible to the geoscience community as a way of keeping track of developments related to the Rub’ Al-Khali desert

Viscoelastic Model and Synthetic Seismic Data of Eastern Rub’Al-Khali

The Rub’ Al-Khali basin in Saudi Arabia remains unexplored and lacks data availability due to its remoteness and the challenging nature of its terrain. Thus far, there are neither digital geologic models nor synthetic seismic data from this specific area accessible for testing research techniques and analysis. In this study, we build a 2D viscoelastic model of the eastern part of the Rub’ Al-Khali basin and generate a corresponding dual-component seismic data set. We compile high-resolution depth models of compressional- and shear-wave velocities, density, as well as compressional- and shear-wave quality factors from published data. The compiled models span Neoproterozoic basement up to Quaternary sand dunes. We then use the finite-difference technique to model the propagation of seismic waves in the compiled viscoelastic medium of eastern Rub’ Al-Khali desert. In particular, we generate vertical and horizontal components of the shot gathers with accuracy to the fourth and second orders in space and time, respectively. The viscoelastic models and synthetic seismic datasets are made available in an open-source site for prospective re-searchers who desire to use them for their research. Users of these datasets are urged to make their findings also accessible to the geoscience community as a way of keeping track of developments related to the Rub’ Al-Khali desert