63 research outputs found

    Integrated Analysis of Production Potential and Profitability of a Horizontal Well in the Lower Glen Rose Formation, Maverick County, Texas

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    The U.S. Department of Energy/Morgantown Energy Technology Center (DOE/METC) awarded a contract in 1991 to Prime Energy Corporation (PEC) to demonstrate the benefit of using horizontal wells to recover gas from low permeability formations. The project area was located in the Chittim field of Maverick County, Texas. The Lower Glen Rose Formation in the Chittim field was a promising horizontal well candidate based on the heterogenous nature of the reservoir (suggested by large well-to-well variances in reserves) and the low percentage of economical vertical wells. Since there was substantial evidence of reservoir heterogeneity, it was unknown whether the selected, wellsite would penetrate a reservoir with the desired properties for a horizontal well. Thus, an integrated team was formed to combine geologic analysis, seismic interpretation, reservoir engineering, reservoir simulation, and economic assessment to analyze the production potential and profitability of completing a horizontal well in the Lower Glen Rose formation

    Staging Loss: Performance as Commemoration

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    This book locates and critically theorises an emerging field of twenty-first century theatre practice concerned, either thematically, methodologically, or formally, with acts of commemoration and the commemorative. With notions of memorial, celebration, temporality and remembrance at its heart, and as a timely topic for debate, this book asks how theatre and performance intersects with commemorative acts or rituals in contemporary theatre and performance practice. It considers the (re)performance of history, commemoration as a form of, or performance of, ritual, performance as memorial, performance as eulogy and eulogy as performance. It asks where personal acts of remembrance merge with public or political acts of remembrance, where the boundary between the commemorative and the performative might lie, and how it might be blurred, broken or questioned. It explores how we might remake the past in the present, to consider not just how performance commemorates but how commemoration performs

    Sights and insights: Vocational outdoor students’ learning

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    Outdoor leader and adventure sport education in the United Kingdom has been characterized by an over-emphasis on technical skills at the expense of equally important, but often marginalized intra- and inter-personal skills necessary for contemporary outdoor employment. This study examined the lived experience of vocational outdoor students in order, firstly, to identify what was learned about the workplace through using reflective practice and, secondly, what was learned about reflective practice through this experience. The study used a purposive sample of students (n=15) who were invited to maintain reflective journals during summer work experience, and this was followed up with semi-structured interviews. Manual Interpretative Phenomenological Analysis (IPA) revealed that in the workplace setting students used reflective practice to understand and develop technical proficiency, support awareness of the value of theory, and acted as a platform to express emergent concepts of ‘professionalism’. Lessons about reflective practice emphasized its value in social settings, acknowledging different ways of reflection, and understanding and managing professional life beyond graduation

    Statistical HOmogeneous Cluster SpectroscopY (SHOCSY): an optimized statistical approach for clustering of ¹H NMR spectral data to reduce interference and enhance robust biomarkers selection.

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    We propose a novel statistical approach to improve the reliability of (1)H NMR spectral analysis in complex metabolic studies. The Statistical HOmogeneous Cluster SpectroscopY (SHOCSY) algorithm aims to reduce the variation within biological classes by selecting subsets of homogeneous (1)H NMR spectra that contain specific spectroscopic metabolic signatures related to each biological class in a study. In SHOCSY, we used a clustering method to categorize the whole data set into a number of clusters of samples with each cluster showing a similar spectral feature and hence biochemical composition, and we then used an enrichment test to identify the associations between the clusters and the biological classes in the data set. We evaluated the performance of the SHOCSY algorithm using a simulated (1)H NMR data set to emulate renal tubule toxicity and further exemplified this method with a (1)H NMR spectroscopic study of hydrazine-induced liver toxicity study in rats. The SHOCSY algorithm improved the predictive ability of the orthogonal partial least-squares discriminatory analysis (OPLS-DA) model through the use of "truly" representative samples in each biological class (i.e., homogeneous subsets). This method ensures that the analyses are no longer confounded by idiosyncratic responders and thus improves the reliability of biomarker extraction. SHOCSY is a useful tool for removing irrelevant variation that interfere with the interpretation and predictive ability of models and has widespread applicability to other spectroscopic data, as well as other "omics" type of data

    Becoming visible as a profession in a climate of competitiveness: The role of research

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    Dance Movement Therapy (DMT) risks invisibility due to dominant academic discourses and defensive rejection of science by practitioners. An argument is made for the community of practice to engage with both positivist research on the one hand, and emancipatory / transformational research (privileging the marginalised voice of the individual) which could be seen as at the other end of a paradigmatic spectrum. The position taken here is that these offer equally important but different forms of knowledge and empowerment, though quality is less easily assessed for research of the individual. Ethics of research of the individual are also discussed and a clear set of guidelines are offered. The article concludes with a rallying call to all those who are engaged in training to engage in their own research and lead by example, forging alliances to support students who wish to engage with statistical analysis
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