Petoro (Norway)

<em>Ushbu maqolada mamlakatimiz mustaqillik yillaridan to bugungi kunga qadar shaxslarning huquq va erkinliklari sohasida amalga oshirgan islohotlar,qabul qilingan farmonlar haqida so’z ketadi.Shuningdek, mamlakatimiz konstitutsiyasida shaxsiy huquq va erkinliklarning kafolatlanganligi,Prezidentimiz tomonidan bu sohaga doir kiritilgan yangilik va o’zgartirishlar o’z ifodasini topgan.</em>

Abstract Assessing and improving subsurface models is an integral part of any field development project. Scanning through a multitude of data and models to look for opportunities to improve is a challenging task that can be very complex and time consuming if done manually. On the other hand, successful automation of the process typically requires field-specific customization. To address this challenge, a cloud-based innovation toolkit has been developed. The toolkit is a set of Python modules that automate the key steps in comparing reservoir model predictions to various types of observation data, including production data and time-lapse seismic data. The toolkit enables users to create customized images that highlight important aspects of data and models, helping the team to decide how to proceed. Images that drive decisions are referred to as actionable insights. The toolkit is also used to create customized mismatch metrics, combining, for instance, production data mismatch and time-lapse seismic mismatch per region, per time interval, or overall. Ranking a set of reservoir models according to selected mismatch metrics is automated. For improved efficiency, the toolkit is built on top of a data management system for simulation models, which makes access to the models and results stored in the cloud quick and seamless. The innovation toolkit was used in a case study in the Grane Field to assess time-lapse seismic data, production data, and two ensembles of 200 and 100 reservoir models, respectively. An important element of the project was the customized co-visualization of gas migration observed from time-lapse seismic data and production data, vs. simulated gas thickness and gas production from the reservoir model ensembles. These images allowed the team to quickly identify a region where changes to the top reservoir structure could reduce the mismatch between model predictions and production and time-lapse seismic observations. As a final step of this study, an updated ensemble was generated that allowed the team to test and confirm several hypotheses about structure, contacts, and in-place volumes of the selected region of the Grane Field. The short time spent for this study vs. the amount of data processed highlights an important advantage when it comes to the need for continuous well maturation in the Grane Field. Cloud access to data, models, and new digital tools enable new opportunities for automation and improved efficiency. The novelty of the presented work is the combination of automation and customization, enabling domain knowledge to drive automated workflows.

Xorijiy tilni o’rganishdagi muhim komponentlar bu – tinglash, talaffuz qilish, o’qish va yozishdan iboratdir. Ta'limning har qanday shaklida, lingvistik kompetensiyalar barcha odamlar uchun keng, ko'ndalang, ko'p qirrali va asosiy bo'lishi kerak, shuningdek har bir ilmiy madaniyat va intizomga xosdir deyish mumkin. Ushbu maqolada muallif bugun ta’lim muassasalarida chet tillarini o’qitishning muhim ahamiyati, ularni talabalarga o’rgatishda til o’rganishning to’rt unsuridan foydalanish va chet tilini o'rgatishda yozuv, o’qish, gapirish hamda tinglab tushunish kompetensiyalarini rivojlantirish haqida batafsil bayon qiladi, tahlillar va faktlar keltiradi.

Summary This article analyzes commercial decision criteria for climate projects. The latter will normally be executed by private players, for whom decision criteria developed from a commercial perspective are important. But such criteria are also important for the government in calculating the size of subsidies required for various measures. A ranking of different solutions in a socioeconomic context must rest on calculations made from a commercial perspective. Examples of the subjects covered include the calculation of abatement unit costs and cost estimating for climate projects. The carbon-capture project at the Kårstø gas-fired power station in southwest Norway is used as a case throughout the analysis.

A new genus and species, Amosioxylon australis, based on an anatomically preserved stem from the Late Carboniferous Jejenes Formation, Argentina, is described. The specimen is six cm in diameter and has some features usually found in pteridosperms, including the presence of several vascular segments surrounded by secondary xylem. The pycnoxylic wood resembles progymnosperms and the tissue between the vascular strands, with reticulate thickenings and pits, is similar to the transfusion tissue found in extant conifers and cycads. According to the available evidences a relationship with primitive pteridosperms is suggested.

apresenta uma tcnica de desreverberao de sinais de