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Koordinerings- og støtteaktivitet

Limb wounds in horses are common, however healing is exceedingly slow and fraught with complications. Contrary to body wounds, limb wounds demonstrate only a small amount of wound contraction. The specialist procedure of applying split-thickness skin grafts to limb wounds stimulates wound contraction by unknown mechanisms. The objective of this project is to identify those mechanisms to develop a treatment strategy for equine limb wounds for use in general  practice. Limb wounds are severely impacting animal welfare due to an extended healing/treatment duration, and the risk of euthanasia due to a poor functional outcome. By stimulating wound contraction, healing time will be reduced, and the functional outcome improved, directly benefitting the welfare of wounded horse and reducing treatment cost for the owner. Aim: To identify dermal components stimulating wound contraction, and to develop this knowledge into future state-of-the-art treatment of equine limb wounds for use in general practice. Hypotheses: i) Application of dermal fractions to collagen gels seeded with equine fibroblasts will increase gel contraction in vitro; ii) Application of dermal fractions to experimental limb wounds in vivo, will increase wound contraction resulting in a faster healing time versus wounds treated by conventional methods. Methods: i) The contractile effect of different dermal components will be assessed in a collagen gel/ fibroblast model; ii) Identified dermal components will be tested in a standardized experimental limb wound model in vivo (n=5). Ultimately, results from this project are expected to improve wound treatment in horses, directly impacting animal welfare by reducing healing time and improving the functional outcome of wounded horses. This will also directly benefit horse owners and caretakers and making veterinarians able to offer better treatment solutions.

HESTEFORSK - Raskere og bedre sårheling hos hest med autologe hudkomponenter

Prosjektet «Wheelchair Activity Monitoring» (WHAM) sikter både på å øke fysisk aktivitet blant rullestolbrukere, og på å bidra til bredere mål om mangfold og inkludering av personer med nedsatt mobilitet, ved å fremme større tilgjengelighet og deltakelse gjennom innovativ teknologi og forskning.

Rullestolbrukere er tre til fem ganger mindre aktive enn den generelle befolkningen, noe som øker risikoen for å utvikle forebyggbare sykdommer. Selv om det finnes retningslinjer for fysisk aktivitet som er tilpasset rullestolbrukere, trenger vi fortsatt effektive måter å implementere disse på samt nøyaktig teknologi for å spore mulige endringer i fysisk aktivitet. WHAM har som mål å bidra til økt fysisk aktivitet blant rullestolbrukere ved å lage digitale verktøy for å monitorere og gi tilbakemelding på rullestolbrukerens aktivitet. WHAM består av tre faser: to år ved University of British Columbia (UBC), som inkluderer et samarbeid med eksperter innen atferdsendrings-intervensjoner for rullestolbrukere; ett år ved Norges teknisk-naturvitenskapelige universitet (NTNU) og et halvt år ved Maastricht Instruments - de to siste fasene er viet til å utvikle de digitale teknologiene. 

WHAMs mål er:
1)	Å teste effekten av et treningsprogram på fysisk aktivitetsnivå og fitness blant rullestolbrukere,
2)	Å utvikle nøyaktige algoritmer for monitorering av fysisk aktivitet blant rullestolbrukere,
3)	Å lage et system som både monitorerer og gir tilbakemelding på fysisk aktivitet blant rullestolbrukere.

Wheelchair users (WCU) are three to five times more inactive than the general population, leading to a high risk of developing preventable secondary conditions. Although physical activity (PA) guidelines have been specifically developed for WCU, we lack systematic approaches to implement them in practice, as well as valid algorithms to monitor PA change in WCU through sensor-based solutions. Accordingly, the overall scientific aim of the WHeelchair Activity Monitoring project (WHAM) is to advance PA research and practice in WCU by developing valid digital markers for monitoring of and providing feedback on PA, paving the way for implementation and intervention. I will accomplish this through combining the complementary research fields of 1) behavioral intervention studies focusing on increasing PA in WCU (core competence University of British Columbia, UBC; outgoing phase) and 2) sensor-based PA monitoring (core competence Norwegian University of Science and Technology, NTNU; returning phase – consolidated by non-academic placement at Maastricht Instruments, which develop research prototypes including PA monitors). WHAM’s scientific aim is achieved through three objectives: 1) Measure the effect of a pragmatic exercise intervention trial on self-reported physical activity levels and cardio-respiratory fitness, 2) Develop valid algorithms for tracking PA markers in WCU, and 3) Co-create
a framework that outlines how PA can be conjointly monitored and provided feedback on in WCU. This fellowship will enable me to become established as an internationally recognized researcher in the field of “physical activity and disability”, while bringing together ongoing national disjointed research activities in this field. Altogether, my overall ambition is to contribute to reducing inequalities in daily-life participation among WCU compared to the rest of the population.

Topfinancing - WHeelchair Activity Monitoring project (WHAM)

Effektene av fysisk og seksuell vold på ofre og deres familier kan være ødeleggende og vedvarende, med potensielt langvarige konsekvenser for fysisk og mental helse, utdanning, sysselsetting og bruk av velferdstjenester. Mens strafferettssystemet anses som en viktig del av offerets gjenopprettingsprosess, er det begrenset empirisk forskning på hvorvidt strafferettslige prosesser hjelper og/eller hindrer bedring langs disse ulike dimensjonene. I dette prosjektet vil vi adressere dette kunnskapshullet ved å bruke en kombinasjon av kvantitative og kvalitative forskningsmetoder. I de kvantitative analysene vil vi bruke administrative registerdata som dekker hele befolkningen sammen med kvasi-eksperimentelle metoder for å kunne trekke kausale slutninger. Vi vil også benytte maskinlæringsteknikker for prediksjon. De kvalitative analysene vil supplere de kvantitative analysene ved å gi kontekst til et komplekst felt av saker og ofre og ved å identifisere potensielle mekanismer mellom strafferettslige prosesser og utfall for ofrene. Samlet vil disse metodene gi en mer robust, representativ og nyansert forståelse av hvordan kontakt med strafferettssystemet påvirker offeret på tvers av flere viktige livsområder både på kort og lang sikt. Prosjektet ledes av Folkehelseinstituttet (FHI) med Frischsenteret og Universitetet i Oslo som partnere. Prosjektet har et rådgivende utvalg med medlemmer fra Nasjonalt kunnskapssenter om vold og traumatisk stress (NKVTS), ETH Zurich, Universitetet i Oslo, Frischsenteret, Universitetet i Bergen, og OsloMet. Det er også tilknyttet en brukergruppe bestående av personer og organisasjoner som er i kontakt med ofre for vold og overgrep.

Victims of sexual and physical violence is one of the most vulnerable groups in our society. The criminal justice system (CJS) serves a critical role in providing assistance to victims of these crimes, enabling them to seek justice, protection, compensation, and closure. Yet, knowledge about whether the CJS helps or harms these victims is extremely limited. This project aims to remedy this by providing a comprehensive understanding of the role of the CJS in supporting and providing restoration for victims of physical and sexual violence in Norway. We will utilize a combination of quantitative and qualitative research methods across disciplines to study outcomes across multiple important life domains, both in the short and long run. For the quantitative analyses we will use exceptionally rich longitudinal administrative register data with full population coverage combined with state-of-the-art quasi-experimental methods for credible causal inference and predictive machine learning techniques. The qualitative analysis will be based on narrative interviews with victims, providing context and insights into how interactions with the CJS shape life stories. The results will yield a robust and nuanced understanding of how the different stages of the CJS impacts victims. This is particularly urgent given how the current emphasis on legal responses to assaults has caused a sense of obligation and civic duty for especially women to report incidents, while the chances of legal closure remain small. In addition to advancing the methods for quasi-experimental designs and machine learning within quantitative criminology, this project will provide valuable insights for policymakers, stakeholders, and practitioners working in the field of victim support and rehabilitation and may inform current legal reform efforts aimed at addressing these issues.

Helpful or harmful: The effects of criminal justice system contact on victims of sexual and physical violence

The goal of the Bilingual Experiences, Cognitive Ageing and underlying Mechanisms (BECAME) project is to examine the functional neuroplastic mechanisms underlying mitigatory effects of bilingual experience on age-related cognitive decline. While evidence is available for structural brain changes supporting bilingualism-induced effects on cognitive aging (CA), functional mechanisms underlying such effects are not yet well understood. BECAME aims to fill this gap by investigating the trajectory of bilingualism-induced functional neuroplasticity across the adult lifespan (ages 18-85), crucially adopting an individual differences approach related to measurable degree of bilingual engagement. Importantly, although such benefits are thought to be rooted early in the lifespan, evidence for the timeframe and conditions of their early emergence is scarce. The choice of including the whole adult lifespan allows us to investigate these mechanisms and their emergence more directly from a lifespan perspective. I combine behavioral testing with brain recordings via electroencephalography (EEG). EEG is widely used in cognitive neuroscience to assess brain activity and the degree of communication between brain regions (functional connectivity) in response to stimuli and at rest. Combining behavioral and EEG modalities will allow me to test bilingualism’s effect on functional connectivity, as well as its consequences for functional efficiency, the minimum required neural activation to successfully perform a task. This will enable a detailed, evidence-based account of the protective effects observed in older-aged bilinguals, and how they are built from earlier life stages. By illuminating the relationship between multilingualism and resulting neurocognitive adaptations, BECAME will enable to capitalize on it as a health initiative, with manifold societal implications and the potential to be translated into actionable policies exploiting multilingualism to ameliorate effects of CA.

Bilingual Experiences, Cognitive Ageing and underlying Mechanisms

From the SEA to the SOLution. An integrative assessment of marine pollution in a changing Arctic

Marine chemical pollution poses known threats to human health and to biodiversity, ecosystem and societal services. The Arctic is a major sink of global mercury (Hg) pollution. Arctic sediments, sea and glacial ice constitute vast Hg reservoirs. Recent studies raise concerns about their increasing role as local Hg sources. In a rapidly warming Arctic, the consequences of potentially increased environmental Hg on marine biota remain unknown. The objective of SEASOL is to identify the pathway(s) of Hg bioaccumulation in marine food webs of the High Arctic Kongsfjorden (Svalbard). This changing glacial fjord is recognised as a ‘natural laboratory’ of climate change in the Arctic. The fellow’s earlier research has shown the sole measurement of Hg levels as insufficient to connect biotic Hg dynamics to environmental change, whereas the analysis of Hg stable isotopes proved to be a promising tool for source discrimination and biotic transfer. SEASOL will build on the novel application of stable isotope analysis to identify the sources of Hg within the fjord system and the pathways to Hg accumulation within sentinel marine species. On the short-term, the study will provide fundamental knowledge to help understand how emerging sources of Hg from rapid environmental change will impact Arctic marine predators. On the long-term, SEASOL will contribute to the development of early-warning, adaptive management strategies, including modelling, for mitigating the cumulative impact of pollutants and climate change on Arctic marine species. This multidisciplinary approach and the central position of the host institution (Norwegian Polar Institute) in the field of Polar Research will equip the Fellow with a broad set of new skills and lay the foundation for building her specific niche as a future leader in marine pollution science.

Reality-Connected Machine Simulation of Heavy Machinery

The RealSim project proposal aims to connect machine simulation to reality in the framework of heavy machinery, which is an interdisciplinary application. The results of this project are expected to optimize machine performance, accurately and reliably predict machine failure, and reduce overall development and operation costs, thus, serving the Europe’s priority of green transformation and the United Nation’s sustainable development goal 9. The RealSim project will close the gaps of: (1) Onboard estimations of force and pressure components of heavy machinery; (2) Estimating deformability, cylinder friction, leakage, and valve dynamics of heavy machinery using independent nonlinear Kalman filters; (3) Employing dependent nonlinear Kalman filters in state estimators of heavy machinery; (4) Tuning algorithms for the covariance matrix of plant noise in the state estimation of heavy machinery. 

I will consolidate and leverage my research career and position as a leading researcher in the field through integration in Assoc. Prof. Mohammad Poursina’s group at the Department of Engineering Sciences of the University of Agder (UiA), Norway. Here, I will acquire hands-on experience of working with actual mechatronic systems and develop efficient control algorithms. I will improve my knowledge of fluid power designing, control theory, instrumentation, and develop efficient coding skills. I will also develop entrepreneurial skills. The skills, knowledge, and international network that I will develop during this fellowship will put me in an excellent position to achieve my long-term goal of becoming a professor with my own independent research group at an esteemed university in EU. This fellowship will help me to prepare a strong ERC Starting Grant application in the future. It will also cater my additional goal of setting-up a research-related start-up in the future.

Information theory is a discipline at the intersection of statistics, engineering and computer science. As the study of information quantities, such as compression or communication capacities, information content or measures of statistical dependency, it is one of the theoretical underpinnings of data science.

Computational problems in information theory are highly non-linear. The goal of this project is to transfer state-of-the-art methods of computational non-linear algebra to information theory, to study the inherent algebraic complexity of information-theoretical problems and to provide tools for solving them in practice. The algebraic point of view has proven to be fruitful in seemingly unrelated areas, as witnessed by a surge of recent work in algebraic statistics, in particular on likelihood geometry. However, maximizing the likelihood function is the same as minimizing relative entropy — a specific information quantity. Hence, this project also aims at generalizing the techniques developed in likelihood geometry.

One focus is on the practical computation of information quantities using numerical and differential algebraic geometry. Such quantities are defined via non-linear optimization problems and we aim to pinpoint the algebraic complexity of these problems in instances of general interest, such as common information measures. The final objective is finding fundamental laws and limits of data science imposed by non-linear inequalities constraining the entropic region. These inequalities provide, by duality, universal bounds for many of the optimization problems studied in information theory.

Algebraic Theory of Information Quantities

Enabling the next generation in search of blood cancer cures

The CarrerasPathfinder program is new a world-wide unique doctoral program that covers the entire spectrum of research and innovation in blood cancers from understanding disease biology to the implementation of novel processes in the clinical practice. The program will fund 14 excellent Doctoral Candidates (DCs) for a period of 48 months. DCs will perform collaborative PhD projects involving associated partners from different sectors, countries, and disciplines through secondments. DCs will improve their research capacity and transferable skills through high-quality supervision arrangements and a tailored training program.

The program has been designed and will be hosted by the Josep Carreras Leukaemia Research Institute (IJC) which is the first European non-profit institute exclusively devoted to blood cancers. By answering the European needs for human resources, it is fully aligned with the 13 recommendations of the EU Cancer Board’s Draft Mission  and the Europe’s Beating Cancer Plan (2021). The CarrerasPathfinder program has a strong triple-I dimension of internationality, inter-sectorality and interdisciplinarity in training, networking, co-supervision and research. Its specific objectives are:
•	To develop an excellent doctoral program in blood cancer research conceived as a pilot for a permanent international doctoral program
•	To equip DCs with a unique skill set boosting effectiveness and innovation capacity. 
•	To promote DCs’ career development and increase their employability in different sectors.
•	To establish the IJC as a European reference for research and training in blood cancers.
•	To provide Europe with a new generation of researchers able to address unmet needs and societal challenges of blood cancers.
•	To contribute to structuring the European research area by collaborating and synergizing with other European key opinion leaders.



Tenk på universet som en enorm ballong som alltid utvider seg. Jo lenger unna et punkt er på ballongen, jo raskere beveger det seg bort fra deg. Dette ligner på hvordan universet utvider seg, jo lenger unna en galakse er, jo raskere beveger den seg bort fra oss på jorden.

I mange år trodde forskerne at universets ekspansjon ble bremset. Begrunnelsen deres var at gravitasjonskraften fra all materie i universet virket mot denne utvidelsen. Imidlertid gjorde kosmologer i 1998 en overraskende oppdagelse gjennom studiet av fjerne supernovaer: utvidelsen av universet akselererer faktisk!

Dette betyr at avstanden mellom galaksene blir større og større i stadig økende hastighet. Det er som om ballongen blåses opp raskere og raskere.

Forskere vet ikke nøyaktig hva som får universet til å akselerere. De kaller den ukjente kraften som får dette til å skje "mørk energi". Mørk energi er overalt i universet, men den mørke energien vekselvirker ikke med materie i de formene som vi kan observere direkte.

NEVO-prosjektet er et nytt forsøk på å forstå egenskapene til mørk energi. NEVO vil bruke kraftige datamaskiner for å simulere universet og studere effekten av kandidater til den mørke energien på en måte som aldri har vært gjort før. Ved å studere disse simuleringene og utnytte høypresisjons-observasjonene fra Euclid-teleskopet som nylig er skutt opp i rommet, vil kosmologene være i stand til å bedre betydelig vår forståelse av den mørke energiens gåtefulle natur.

The Universe has entered an accelerating expansion phase in the last few billion years of its evolution, a phenomenon that is caused by the mysterious entity known as dark energy. Through the NEVO proposal, I aim to provide key insights about the properties of dark energy, which includes its time evolution and spatial distribution in the Universe. This objective will be achieved by utilizing cutting-edge cosmological N-body simulations and novel techniques to study cosmic EVOlution accurately.

A comprehensive understanding of the nature of dark energy requires a thorough investigation of viable candidates and their impact on different stages of the Universe. However, the consistent and accurate modeling of dark energy candidates has been largely neglected so far. To address this gap, I propose the development of a novel, integrated framework that utilizes state-of-the-art relativistic N-body simulations along with the hi_class code, to accurately model dark energy candidates in both linear and non-linear scales.

NEVO: illuminating the dark cosmos

Global natur- og miljøforvaltning er en av vår tids mest sentralt og vanskellige mål. Mange av utfordringene skyldes motsetningene mellom vår fragmenterte politiske verden og økosystemer som ikke forholder seg til landegrenser eller politiske skillelinjer.
Ulike biologiske samfunn (biomer) som ligger i én stat, kan ikke løsrives fra et større økosystem. Derfor er flere «lokale» naturområder blitt del av den globale miljøforvaltningen.
Prosjektet RESOLVING skal se på politiske løsninger for en naturforvaltning som både er:
(i) lokal: som del av en stats territorium og hjem til ulike befolkningsgrupper
(ii) global: som kritiske deler av planetens økosystem
Hva betyr denne forvaltningen på flere nivåer for staters suverenitet?
Vi vet allerede mye om utfordringene nasjonalt oppdelt myndighet utgjør for effektiv forvaltning av jordens økosystemer. Vi vet derimot langt mindre om hvordan forsøkene på å styre jordens komplekse og grenseløse økosystemer faktisk kan endre selve systemet som forsinker den globale forvaltningen: statlig suverenitet.
RESOLVING vil prøve å forstå denne dynamikken ved å undersøke gruppene som faktisk utøver internasjonal naturforvaltning på vegne av eller parallelt med statene. Prosjektet vil her se nærmere på styringen av to områder som er viktige for hele verden: Amazonas-regnskogen og Guineabukta.
RESOLVING undersøker hvordan tiltak for å ta vare på disse områdene – laget på både internasjonalt, nasjonalt og lokalt nivå – fungerer sammen. Hvilke aktører får mer makt? Hvem blir inkludert i beslutningsprosessene og hvem blir utelatt?

The RESOLVING project asks: How does global governance of nature transform the exercise of sovereign power? Scientific evidence of the environment as a complex system of planetary dimensions has elevated several natural resources as objects of global governance. Primary forests and maritime biomes particularly capture global attention because of their systemic relevance for our planetary ecosystem. Still, international politics operates within a framework locating authority over nature indivisibly into territorially discrete and independent states. This project investigates the implications for sovereignty stemming from the construction of nature as a global governance object. We build on existing conceptualizations of sovereignty as a combination of de jure sovereign authority and bundles of de facto sovereign competence. In the case of nature, while permanent sovereignty over natural resources is an immutable property of state authority, a wider range of actors can be involved in defining the ways in which these resources are governed or even in governing them. RESOLVING will focus on two parcels of local nature especially entangled in global governance: the Amazon rainforest and the Gulf of Guinea. The project will investigate how networks of actors work across levels of governance to produce sovereign competence and exert sovereign power over nature in these regions. Sovereign power is the capacity to achieve de facto sovereign competence, here identified as the capacity to define and implement the rules of human–nature interaction. We look at multilevel governance from three angles: the global, the state, and the local. The comparative analysis of those networks across levels, regions, and regimes complexes will allow for identifying the mechanisms driving the rebundling of sovereign power with or away from the state, and a better understanding of the consequences of that process.

Rebundling sovereignty over local nature in global governance

Midlene fra SAMKUL-Samfunnsutviklingens kulturell fordelt på år

Midlene fra SAMKUL-Samfunnsutviklingens kulturell fordelt på fylker

Midlene fra SAMKUL-Samfunnsutviklingens kulturell fordelt på fagområde

Post doc researcher

Bruk av data er grunnleggende for moderne samfunn, men er også noe som krever vår oppmerksomhet. Dette for å unngå uheldige virkninger som for eksempel overdreven bruk av overvåkning, filterbobler på nett (algoritmer som styrer nettsøk) og den påvirkning som stordata analyser har på det politiske liv.
  
Entusiasmen og forventningene til bruk av stordata analyser og AI er høye, hvorvidt en snakker om etterforskning, hjerneforskning eller når brukt av massemedia. Men kanskje har tiden kommet for å bevege oss fra innsamlingen av stordata til mindre datasett? For hva bestemmer egentlig kvaliteten på dataene: mengde og omfang eller innhold? Hvordan interagerer den nye utviklingen innenfor analyse av data (som intelligente algoritmer) med mennesker?

Datainnsamling og datahåndtering er allestedsnærværende i samfunnet på måter kun interdisiplinære metoder og perspektiv kan favne rekkevidden, og forstå virkningene av. Undersøkelser av hva slags type data er nyttig for at et samfunn skal fungere krever nye perspektiver og tenkemåter. 

Critical Data Network (CDN) tar utgangspunkt i digital kriminologi, og er i dialog med forskere og forskning fra samfunnsvitenskapen (for eksempel hvordan teknologi påvirker rettigheter og sosial praksis; hvordan teknologi i seg selv er politisk), filosofifaget (begrepsforståelser av data, og etikk og teknologi), kulturstudier (studier av digitale kulturer og estetikk), så vel som informatikk og bioteknologi (funksjonen ved og konstruksjonen av løsninger).

I en rekke tematiske workshops, undersøkte CDN «data relaterte» dilemmaer fra media, politi og hjerneforskning. Invitert til å delta var blant annet

-	NRKbeta,
-	Senter for digitalt Liv Norge (DIGIbrain) og
-	Oslo Financial Intelligence Unit.

Eksperter presenterte de nyeste utviklingene innen data-drevne teknologier innenfor sine felt. Blant annet omfattet dette temaer og teknologier som automatisert innholdsredigering (automated content-editing), digital automatisert journalistikk (digital data-driven journalism) og økningen i bruken av åpne datasett for nyhetsmedier (open datasets for news media) (Workshop 1). CDN så på spørsmålet om identifisering av felles standarder for digital informasjon innen hjerneforskning og bioteknologi (Workshop 2), men også potensiale og utfordringer ved automatisering av polisiær virksomhet (Workshop 3). Eksperter innen media, forskning på biologi og politi delte kunnskap og diskuterte hovedproblemstillinger og løsningsforslag som støttet opp om en forsiktig, målrettet bruk av data.

Vi lærte om nye trender i bruken av digitale data på en rekke viktige samfunnsområder. Workshopene til nettverket åpnet også rom for refleksjon for de som jobber innenfor disse organisasjonene om hvordan de lager, samler, analyserer og bruker digitale data. Dette var en sentral målsetning med nettverket. 

CDN var også del av en rekke formidlings-og mediebidrag. Videre var CDN utgangspunkt for det som ble en tverrfaglig artikkel 'Data Criticality' samforfattet av fire av nettverksmedlemmene. Artikkelen er nå til review hos et akademisk tidsskrift.  

I den siste workshopen (Workshop 4) ble informasjon frembragt fra de tidligere møtene og konkretisert til en rekke forskningsspørsmål. Dette resulterte i første omgang til to forskerprosjektsøknader levert 10. april 2019.

The proposed network will focus on what drives the development of digital technologies: data. It uses the approach of data criticality to explore technological shifts and their effects on society. Data is critically relevant to modern societies, but also demands critical attention. Whether in neuroscience or the media, enthusiasm for big data-analytics and high expectations of AI are widespread in societal institutions. But has the time come to move from big data to select and small data analytics? What determines the quality of data: amount or content? How do recent advances in data analytics, e.g. intelligent algorithms, interact with humans? In dedicated workshops, Critical Data Network will use interdisciplinary perspectives to explore data-related dilemmas within the media, medical services and the police. The network's starting point and results will be concrete: representatives from NRKbeta, the medical project DIGIbrain and Oslo police will present the latest developments in data-driven technologies from inside their organizations. A key dilemma, and solutions to it that support the cautious, target-oriented use of data will be discussed with academic experts. Briefings will summarize the workshop results and new ideas for the development of solutions within participating organizations.

Critical Data Network

I dette prosjektet er målet for Schlumberger og IFE å utvikle en unik modelleringsteknikk der en ny slugutviklingsmodell kobles med de fundamentale konserveringslovene for å fange opp slugutviklingen i rørledninger for olje og gass. Denne tilnærmingen vil ikke bare muliggjøre simulering av strømningsutviklingen, men også gjøre det med betydelig mindre regnetid enn enhetscellemodellen.  

Innovasjon i flerfasestrømning har muliggjort sikker, mer miljøvennlig og øknomisk produksjon av olje og gass fra fjernt- og dyptliggende reservoarer. Dynamiske strømningssimulatorer, som OLGA, har forbedret petroleumsindustriens mulighet til å håndtere flerfasestrømning i olje- og gassproduksjon. I 2012 anerkjente Aftenposten OLGA som "den viktigste norske oppfinnelsen siden 1980", og bemerket dens rolle i besparelsen av 40-50 milliarder kroner ved utbyggingen av Troll-feltet alene. 

Modellen i dette prosjektet, kalt "Slug Field model", vil inkluderes i OLGA etter testing på feltdata. Den nye modellen forventes å gi en unik kombinasjon av regnehastighet, nøyaktighet og funksjonalitet. Dette vil forsterke flerfaseteknologiens evne til å gjøre petroleumsindustriens fremtid sikker, robust, og bærekraftig.  

Slugstrømning er en veldig vanlig type rørstrømning i olje- og gassproduksjon. Slugstrømning består vekselvis av væskeplugger og store gasslommer som strømmer gjennom røret. På grunn av utvikling gjennom røret, kan slugger i lange rørledninger vokse seg betydelig lengre enn i korte rørledninger. Lange slugger kan føre til væskeoverfylling i prosessutstyr og ødeleggelse. Slike farer er mer kritiske for lange rørledninger ettersom sluggene kan vokse over et større tidsrom. Videre er slugutvikling veldig vanskelig å forutsi. Den vanligste slugstrømningsmodellen kalles enhetscellemodellen og antar at det er ikke er en utvikling i strømningen. Modellen er tilpasset forsøksdata fra korte rørledninger. Mer kompliserte modeller, som OLGA Slug Tracking, kan benyttes til å simulere slugstrømningens utvikling. Slike modeller gir tidkrevende beregninger, som ofte hindrer effektive og komplette studier. 

En prototyp har blitt utviklet. Denne kan allerede brukes for å demonstrere forbedring i regnehastighet og nøyaktighet, noe som forventes å bli ytterligere forsterket i sluttproduktet.

In this project, SLB and IFE aim to invent the next generation flow model to simulate spatially developing slug flow in long pipelines, with unprecedented computational speed and accuracy. Dynamic multiphase flow conservation equations will be coupled with a novel slug evolution model to achieve this purpose.

In multiphase flow, gas and liquid can exist in various arrangements, or flow regimes. Slug flow is a very common flow regime in oil and gas production, especially in mature fields, as well as in CO2 transport systems. It features alternating liquid slugs and gas pockets. Slug flow tends to evolve dramatically throughout pipelines. For example, liquid slugs in long and large pipes can grow to far greater lengths than those in short pipes, leading to operational risks such as separator flooding. This behavior poses significant challenges for long pipeline operations which allow more slug development.

Slug developments are very difficult to predict. The most common slug flow modeling technique (unit cell model) assumes no spatial development and is mostly tuned to laboratory data from short pipes. Thus, extrapolating this model to field applications may introduce large uncertainty. There are more exhaustive models that can predict the slug flow development. However, they are computationally much slower than the unit cell model and often impractical for field applications.

The enhanced functionality, accuracy, and speed of the new model, called the Slug Field model, will make it suitable for long distance multiphase pipelines, such as many of the subsea lines on the Norwegian Continental Shelf. The model can help operators to reduce uncertainties, leading to more efficient, safe, and environmentally friendly operations. This model will be embedded into the OLGA multiphase simulator. Expertise and data from the OVIP JIP will be leveraged for technology qualification, assuring impactful innovation.

Slug Field Model: The Next Generation Field Scale Slug Flow Simulator

This project focuses on the collective entrepreneurial resources of innovative rural communities. The aim is to contribute to an increased set of tools for stimulating entrepreneurial activity at community level. Supportive measures both at individual, co mmunity and municipality level are emphasized. We elaborate on the role that individuals may play in the development of institutions and services for the benefit of the community. The community level may represent a strong action platform for entrepreneur ial activity through established social networks, and motivations for mutual supportive activity and community citizen welfare. In this respect, we also emphasize the role of formal institutions, not the least the role of the municipality in backing commu nity entrepreneurship. We will contribute to an understanding of how one may link volunteer effort and the civic society with more formal business and government-based resources. The resource-weak municipality may have a large potential for development am ong citizens that are interested in contributing to the whole society through additional effort. To analyze entrepreneurship and innovation within such communities, we look at the mix of entrepreneurial resources at individual, organization and society le vel.

Eight rural communities will be studied closely using a triangulation of qualitative and quanitative methods. By following these communities in their endavours of becoming more innovatiive, we will investigate: 
- the characteristics of the aktors i nvolved in developing innovative communities and the role of their action platform
- the characteristics of the collective entrepreneurship processes in the rural communities, and the contextual factors promoting and hindering them
- the government suppor t tools which can be utilized to support community entrepreneurship in rural communities

0 projects

PETROMAKS2-Stort program petroleum

Slug Field Model: The Next Generation Field Scale Slug Flow Simulator

Awarded: NOK 7.6 mill.

Project Period: 2020-2024

Location: Rogaland

NATURNAER-Natur og næring

Innovative Communities: Collective Entrepreneurship in a Rural Community Context

Awarded: NOK 2.6 mill.

Project Period: 2006-2009

Location: Nordland - Nordlánnda