12,143 research outputs found
Howell Plummer Myton
No full textTypescript of answers by Howell Plummer Myton of Uinta County, Utah for a questionnaire filled out for Utah Works Progress Administration\u27s "Pioneer personal history" survey. He came to Utah in 1897 and served as a Deputy Sheriff and Deputy Marshall, and as Indian Agent at the Ouray reservation. Transcript by G. B. Barrus, dated April 23, 193
Howell, E G, QX22765
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/393582Surname: HOWELL. Given Name(s) or Initials: E G. Military Service Number or Last Known Location: QX22765. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 49352.214544
Item: [2016.0049.25875] "Howell, E G, QX22765
Dr. Yvonne Howell – Faculty Author Interview
No full textDr. Yvonne Howell, Professor of Russian and International Studies, discusses her edited collection, Red Star Tales : A Century of Russian and Soviet Science Fiction, published recently by Russian Life Books. Red Star Tales brings together 18 Russian science fiction works, translated into English for the first time, spanning from path-breaking, pre-revolutionary works of the 1890s, through the difficult Stalinist era, to post-Soviet stories published in the 1980s and 1990s
Senator Howell Heflin reads the Senate reprimand of Senator Alan Cranston
No full textSenator Howell Heflin, chair of the Senate Ethics committee, reads the reprimand of Senator Alan Cranston for his accepting campaign contributions from persons whose cases he was judging, specifically Charles Keating of Lincoln Savings and Loan. Cranston says he "violated no established norms of behavior in the Senate.
Outcrop analogues: the good, the bad and the ugly. Journal of Mediterranean Earth Sciences
No full textThe amount of subsurface data available to characterize subsurface reservoirs and de-risk uncertainty at different scale of observation represents one of the main challenges in exploration and production. A sound-outcrop-based conceptual depositional model is key to reducing such uncertainties (Martinius, 2017; Rossi et al., 2017). Ancient and present-day analogues are extensively used to provide valuable information on geobody size, geometry and internal characterization representing a valuable tool in improving understanding of subsurface reservoir (Chiarella et al., 2012; Chiarella et al., 2016; Telesca et al., this volume). Analogue data can be classified in four key types: (i) soft data, which include information about the facies and their lateral and vertical relationship; (ii) hard data, which describe the dimensions and geometry of the geobody; (iii) training images, which record the dimensions, proportions and spatial relationship; and (iv) analogue production data, which provide data from direct subsurface production analogues (Howell et al., 2014). An important aspect that needs to be considered is the areal coverage of the outcrop in comparison with the subsurface reservoir - the typical size for an oil field is between 2 and 20 km, and wells are usually spaced from a few hundred metres to a few kilometres apart. Consequently despite the plethora of high-quality outcrops around the world, there are only a limited number that are large enough to make them suitable for the collection of data at a scale that is really suitable to understand reservoir geometries at a field or even interwell spacing (Howell et al., 2014). At the same time, for the few outcrops that are large enough to overcome the size of the typical oil field (e.g. Book Cliff and Karoo Basin) the identification of which part of the depositional system best represents the studied reservoir can be challenging. Therefore, not all analogues provide valuable information for reservoir characterisation. A step towards improving the applicability of outcrop analogues to subsurface case studies, has been the advent of Virtual Outcrop studies with the development of LiDAR and photogrammetric based acquisition systems. This has improved our ability to generate “reservoir models” of the outcrops, which can be flow simulated closing the loop between the outcrop and the subsurface (e.g. Enge and Howell, 2010; Fig. 1). Further, the generation of synthetic seismic data from outcrops (e.g. Bakke et al., 2008) has also helped to close the gap between the outcrop analogue and the subsurface dataset. However, it is important to note that no two systems are identical and therefore the ‘perfect’ analogue does not exist. What we strive for is to combine studies from several partial analogues and to improve the conceptual geological model. In that respect, it is important to have clear in mind the purpose and scale of your study in order to select the appropriate analogues to incorporate
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