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PETROMAKS2-Stort program petroleum

Distributed fibre optic sensing for production optimization

Alternativ tittel: Fiberoptiske distribuerte målesystemer for produksjonsoptimalisering

Tildelt: kr 16,4 mill.

I prosjektets første år jobber vi med å planlegge eksperimenter der vi skal simulere innstrømning av olje, vann og eventuelt gass i en produksjonsbrønn. Et rør-i-rør-system på noen titalls meter skal settes opp i flerfaselaboratoriet til SINTEF på Tiller, hvor væske skal kunne strømme fra det ytre røret og inn gjennom perforeringer i det indre røret på en måte som ligner det som skjer i en oljebrønn. En optisk fiber vil ligge langs røret, og ved hjelp av et sende- og mottakersystem fra NORCE skal vi studere hvordan laserlyset som sendes gjennom fiberen påvirkes av lydbildet, som igjen henger sammen med forhold som strømningshastighet, temperatur og væskesammensetning.

The down-hole measurement of fluid flow is key to enabling operators to optimize production, improve reservoir management and maximise field recovery. The well environment is however harsh and can limit the operative life of conventional electronic down-hole gauges. In recent years fiber optic (FO) based measurement systems have been developed and well deployments have proven this technology to be inherently robust. FO sensing is able to deliver comprehensive well data which is on the verge of making a step change in well and reservoir monitoring capability. A unique ability of FO technology is that a single fibre can capture in real-time temperature variations and the acoustic noise field, from top to bottom of the well. An overall research challenge is to understand the flow generated acoustic events in the wellbore in order to understand the response of the fibre and perform high-fidelity data interpretation of real well FO surveys. This project is a national collaboration between organisations performing research within fiber optics, signal processing, flow modelling, machine learning and petroleum. The objective is to develop methods for analysing and processing distributed measurements to support the application of FO sensing technology in oil and gas wells. The planned work packages focus on; physical experiments, numerical acoustic modelling, machine learning and method integration in a transient well flow model used to analyse real well surveys. Development and testing of models will be performed in cooperation with the industry. The project will be executed by research partners NORCE, SINTEF, UiB and UiS. One PhD student will be educated at UiB and a post-doctoral research fellow will be appointed at UiS and collaborate with Northwestern University, Illinois. Scientific results obtained will be disseminated through PhD-dissertations, presentations at international conferences, proceedings and international journals and annual workshops.

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PETROMAKS2-Stort program petroleum