Käytetyn voiteluöljyn regenerointilaitoksen prosessivesien karakterisointi

Käytetyn voiteluöljyn regeneroinnissa muodostuu prosessivettä useista lähteistä. Tehokas päästöjenhallinta on yksi tärkeimmistä tavoitteista regenerointilaitoksen operoinnissa ja sen takia sitä tulee kehittää jatkuvasti entistä paremmaksi. Tavoitteisiin pääsemiseksi on oleellista tunnistaa vesienkäsittelyprosessin laadullinen massatase ja laadunvaihtelut ajotilanteiden mukaan. Työssä tutkitaan ja analysoidaan veden sisältämiä epäpuhtauksia sekä kirjallisuuslähteiden perusteella, että standardimenetelmillä ja modifioiduilla menetelmillä, joilla on akkreditointi. Analyysituloksista muodostetaan laadullinen massatase, josta nähdään epäpuhtauksien ja niitä kuvaavien parametrien kuormitukset kussakin prosessivesivirrassa. Tulosten perusteella arvioidaan nykyisen vesienkäsittelyn tehokkuutta, sen säätömahdollisuuksia ja kehitystarvetta. Tarkastelun ulkopuolelle kuitenkin jätetään vesienkäsittelystä ulosjohdettavan prosessiveden puhdistuslaitos. Tutkimusten perusteella regenerointilaitoksessa muodostuvien prosessivesien epäpuhtaudet koostuvat öljystä, BTEX-yhdisteistä, fenoliyhdisteistä, liuottimista, polttoaineiden ja voiteluöljyjen lisäaineista, typpi- ja rikkiyhdisteistä, metalliyhdisteistä sekä kiintoaineesta. Öljy jakautuu kevyisiin (C5-C10), keskiraskaisiin (C10-21) ja raskaisiin (C21-40) jakeisiin. Vesienkäsittelyssä suurin osa öljystä ja epäpuhtauksista saadaan erottumaan vedestä, jolloin puhdistuslaitokselle päätyy jäämäpitoisuudet öljyä, haihtuvia yhdisteitä sekä muita epäpuhtauksia. Puhdistuslaitosta kuormittavat eniten liuenneet orgaaniset yhdisteet sekä korkeaa kemiallista hapenkulutusta aiheuttavat epäorgaaniset yhdisteet (suolat), joiden erottamista prosessivesistä on syytä tulevaisuudessa kehittää.

Oil Transportation in the Gulf of Finland in 2020 and 2030

This study is part of the Minimizing risks of maritime oil transport by holistic safety strategies (MIMIC) project. The purpose of this study is to provide a current state analysis of oil transportation volumes in the Baltic Sea and to create scenarios for oil transportation in the Gulf of Finland for the years 2020 and 2030. Future scenarios and information about oil transportation will be utilized in the modelling of oil transportation risks, which will be carried out as part of the MIMIC project. Approximately 290 million tons of oil and oil products were transported in the Baltic Sea in 2009, of which 55% (160 million tons) via the Gulf of Finland. Oil transportation volumes in the Gulf of Finland have increased from 40 million to almost 160 million tonnes over the last ten years. In Russia and Estonia, oil transportation mainly consists of export transports of the Russian oil industry. In Finnish ports in the Gulf of Finland, the majority of oil traffic is concentrated to the port of Sköldvik, while the remainder mainly consists of different oil products for domestic use. Transit transports to/from Russia make up small volumes of oil transportation. The largest oil ports in the Gulf of Finland are Primorsk, Tallinn, St. Petersburg and Sköldvik. The basis for the scenarios for the years 2020 and 2030 is formed by national energy strategies, the EU`s climate and energy strategies as well other energy and transportation forecasts for the years 2020 and 2030. Three alternative scenarios were produced for both 2020 and 2030. The oil volumes are based on the expert estimates of nine specialists. The specialists gave three volumes for each scenario: the expected oil transport volumes, and the minimum and maximum volumes. Variations in the volumes between the scenarios are not large, but each scenario tends to have rather a large difference between the figures for minimum and maximum volumes. This variation between the minimum and maximum volumes ranges around 30 to 40 million tonnes depending on the scenario. On the basis of this study, no a dramatic increase in oil transportation volumes in the Gulf of Finland is to be expected. Most of the scenarios only forecasted a moderate growth in maritime oil transportation compared to the current levels. The effects of the European energy policy favouring renewable energy sources can be seen in the 2030 scenarios, in which the transported oil volumes are smaller than in the 2020 scenarios. In the Slow development 2020 scenario, oil transport volumes for 2020 are expected to be 170.6 Mt (million tonnes), in the Average development 2020 187.1 Mt and in the Strong development 2020 201.5 Mt. The corresponding oil volumes for the 2030 scenarios were 165 Mt for the Stagnating development 2030 scenario, 177.5 Mt for the Towards a greener society 2030 scenario and 169.5 Mt in the Decarbonising society 2030 scenario.

IT Investment Portfolio Management Over Joint Ventures: Case Study in a Multinational Oil & Gas Company

With information technology (IT) playing an increasing important role in driving the business, the value of IT investment is often challenged because not all of those investment decisions are made in a reasonable way or aligned with business strategies. IT investment portfolio management (PfM) is an effective way to prioritize and select the right IT projects to invest in, by taking all the project proposals into consideration as a whole, based on their business value, risks, costs, and interrelationships. There are different decision models to prioritise projects, and the Analytic Hierarchy Process (AHP) is one of the most commonly-used methods and is discussed in this master thesis. At the same time, there are IT projects on different levels for a multinational company, from global to local. For instance, many of them are probably proposed by joint ventures on local level. In the oil & gas industry, joint ventures are often formed especially in the area of the upstream (exploration & production). How to involve those projects into the IT investment PfM approach of the parent company is a challenge, because the parent company cannot make the decisions on its own. It needs to prioritize all projects in an adequate way, communicate with JVs and influence them. Also, different control levels on JVs need to be considered. This paper hence attempts to introduce a tailored approach of IT investment PfM for a multinational oil & gas company to address the issues around JVs.

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