Анализ применения компрессорной станции COMPEX-SM при подготовке газа на Советском нефтяном месторождении (Томская область)

Объектом исследования является компрессорная станция на установке предварительного сброса воды на Советском нефтяном месторождении. Цель исследования – повышение уровня утилизации попутного нефтяного газа на Советском нефтяном месторождении. В результате работы выполнили задачи: 1.Анализ современных способов утилизации попутного нефтяного газа; 2.Выбор и обоснованный состав компрессорной станции COMPLEX-SM на установке предварительного сброса воды; 3.Произведен расчет экономической эффективности применения компрессорной станции на Советском нефтяном месторождении.The object of the study is a compressor station at the pre-discharge water installation at the Sovetsky oil field. The purpose of the study is to increase the level of utilization of associated petroleum gas at the Soviet oil field. As a result, the tasks were completed: 1. Analysis of modern methods of utilization of associated petroleum gas; 2. Selection and reasonable composition of the COMPLEX-SM compressor station at the water pre-discharge unit; 3. The calculation of the economic efficiency of the compressor station application at the Soviet oil field is made

Leveraging the Strengths of University of California Campus Communities to Reach More Learners Through Open Education

This presentation will discuss the development, implementation, and value of a cross-University of California campus workshop model that breaks down institutional silos and increases open education training for both instructors and learners. During the Fall 2020 Quarter, a team of instructors consisting of librarians, staff, and researchers from UC San Diego, UC Los Angeles, and UC Berkeley, planned and taught a virtual suite of foundational computational programming workshops over the course of three weeks to a diverse group of learners from all three UC campuses. This remote, distributed open educational workshop approach combined and leveraged the instructional strengths of each campus to reach significantly more learners while using less staff time than would be possible with individual, campus-focused workshops. This approach to online instruction also enabled the team of instructors to teach to a scale that maximized enrollment by allowing everyone waitlisted for the workshop to attend through expanded enrollment and concurrent sessions without sacrificing an instructor/helper-to-student ratio. From a pedagogical perspective, this model was particularly effective for teaching technical topics to a large group of novice learners, and given the success of this initial collaborative UC workshop, we are planning a second iteration of this workshop series for the beginning of the 2021 Fall quarter/semester that will include additional UC campuses. Ultimately, our goal is to turn this online collaborative workshop model into an effective and efficient instructional template that could potentially be used by not just the UC system, but by all institutions that may need to collaborate with others to meet the computational research training needs for their various communities

Top 10 FAIR Data Software Things

The Top 10 FAIR Data & Software Global Sprint was held online over the course of two-days (29-30 November 2018), where participants from around the world were invited to develop brief guides (stand alone, self paced training materials), called "Things", that can be used by the research community to understand FAIR in different contexts but also as starting points for conversations around FAIR. The idea for "Top 10 Data Things" stems from initial work done at the Australian Research Data Commons or ARDC (formerly known as the Australian National Data Service). The Global Sprint was organised by Library Carpentry, Australian Research Data Commons and the Research Data Alliance Libraries for Research Data Interest Group in collaboration with FOSTER Open Science, OpenAire, RDA Europe, Data Management Training Clearinghouse, California Digital Library, Dryad, AARNet, Center for Digital Scholarship at the Leiden University, and DANS. Anyone could join the Sprint and roughly 25 groups/individuals participated from The Netherlands, Germany, Australia, United States, Hungary, Norway, Italy, and Belgium. See the full list of registered Sprinters. Sprinters worked off of a primer that was provided in advance together with an online ARDC webinar introducing FAIR and the Sprint titled, "Ready, Set, Go! Join the Top 10 FAIR Data Things Global Sprint." Groups/individuals developed their Things in Google docs which could be accessed and edited by all participants. The Sprinters also used a Zoom channel provided by ARDC, for online calls and coordination, and a Gitter channel, provided by Library Carpentry, to chat with each other throughout the two-days. In addition, participants used the Twitter hashtag #Top10FAIR to communicate with the broader community, sometimes including images of the day. Participants greeted each other throughout the Sprint and created an overall welcoming environment. As the Sprint shifted to different timezones, it was a chance for participants to catch up. The Zoom and Gitter channels were a way for many to connect over FAIR but also discuss other topics. A number of participants did not know what to expect from a Library Carpentry/Carpentries-like event but found a welcoming environment where everyone could participate. The Top 10 FAIR Data & Software Things repository and website hosts the work of the Sprinters and is meant to be an evolving resource. Members of the wider community can submit issues and/or pull requests to the Things to help improve them. In addition, a published version of the Things will be made available via Zenodo and the Data Management Training Clearinghouse in February 2019