Gripen Oil & Gas have extended their prospecting license on Gotland to the north end of the island to search for potential hydrocarbon reservoirs. Earlier prospecting has shown that limestone mound structures from Ordovicium have high potential as hydrocarbon reservoirs due to their antiformal shape and the petrophysical properties of the limestone.This study focuses on the petrophysical properties of the intramound lithofacies of the Ordovician mound structures. Analyses are made to determine the density, porosity and ultrasonic velocity of ten drill core samples (both in dry and water-filled state) from different places on Gotland and these factors are compared to see how they affect one another. Seismic reflection data gathered by OPAB (provided by SGU) is also used to locate potential mound structures in northern Gotland.The results show a clear connection between the density and porosity. Increasing porosities also decreases the ultrasonic velocities of the rocks. The saturated samples show higher velocities for the compressional waves than in the dry samples, but the shear wave velocity is similar in both dry and saturated rocks. Acoustic impedance is used to link the petrophysical analysis to the geophysical data by explaining why one reflector can be seen more clearly than others in a seismic section. Using the seismic sections, five possible mounds are found on northern Gotland. Good correlations are found in the petrophysical analyses, but the porosity of the rock does not seem to be the deciding factor in choosing a reservoir. There is no association between a rock’s measured porosity and its potential extraction volume, clearly shown by the low porosity measured in the Risungs drill cores compared to how much volume of oil that has been extracted. Instead, one should look closer at the seismic sections to find mounds with a high degree of fracturing. None of the mounds seen in the seismic sections show any apparent fracturing, and more seismic surveys should be made before deciding where to drill.

In the reservoir conditions, a petroleum fluid is defined by its thermodynamic and volumetric properties and by its physicochemical properties. Their behaviors are modeled from experimental data in order to properly simulate the processing of these fluids during the production.   With the advent of new regulations and rigidity that exist at the custom regulations today, research centers have great difficulty in obtaining large amounts of samples. For these reason, although there are several methods to characterize the different components of crude oil, the laboratories are turning increasingly to techniques that requires lower amounts of samples: micro-distillation, gas chromatography (GC).   The micro-distillation is a fast and completely computerized technique made to substitute the standard distillation for analysis of liquid petroleum products. Advantages of the method compared to the standard distillation are the reduction of working time by at least a factor of 4, the small sample volumes required for distillation (few micro liters). [24]   This report is aimed to create a simple model that can predict yield curves of physical distillation, without using the micro-distillation technique. The results obtained through gas chromatography (GC) analysis by laboratory technicians enable the modeling of the fluid behavior. Having identified and treated practically all aspects of micro-distillation through simulations with PRO/II, I found out that, regardless of the setting and the thermodynamic method used, there are always significant differences between simulation results and those of the micro-distillation.   The result shows that it’s still difficult to create a model which can replace micro-distillation and gas chromatography (GC) because of the huge gap between the simulation results and micro-distillation. Furthermore, the dynamics revealed that the micro distillation is not accurate. I had hoped to get additional results by studies the correlations with more samples, but that did not turn out to be the case. Regardless of that, I think that it would be interesting to study more samples and use another simulator to properly represent micro distillation. This could be an interesting topic for further studies. / Under de föhållanden som reservoarens miljö erbjuder, definieras en petroleumvätska av dess termodynamiska och volymetriska egenskaper och av dess fysikalisk-kemiska egenskaper. För att korrekt simulera bearbetningen av dessa vätskor under produktion, deras beteende modelleras från experimentella data Med tillkomsten av nya regler och oflexibilitet som finns på tullbestämmelser vid gränserna idag, har forskningscenter stora svårigheter att få större mängder prover levererade. Av den anledningen, trots att det finns flera metoder för att karakterisera de olika komponenterna av råolja, tvingas laboratorier att vända sig mer och mer till alternativa analysmetoder som kräver mindre provvolymer: mikrodestillation, gaskromatografi, etc.   Mikrodestillation, som är en snabb och helt datoriserad teknik, visar sig kunna ersätta standarddestillation för analys av flytande petroleumprodukter. Fördelar med metoden jämfört med standarddestillering är minskad arbetstidsåtgång med minst en faktor 4. Därtill krävs endast en begränsad provvolym (några mikroliter) i jämförelse med standarddestillation.  [24]   Denna rapport syftar till att skapa en enkel modell som kan förutsäga avkastningskurvan av fysisk destillation, utan att använda mikrodestillationsteknik. De resultat som erhölls genom gaskromatografiska analyser möjliggjorde modelleringen av det vätskebeteendet hos det analyserade provet. Efter att ha identifierat och behandlat praktiskt taget alla viktiga aspekter av mikro destillation genom simuleringar med PRO/II, fann jag att, oberoende av inställningen och den termodynamiska metod som används,  det alltid finns stora skillnader mellan simulering och mikro destillation.   Resultatet visar att det fortfarande är svårt att skapa en modell som kan ersätta mikrodestillering och gaskromatografi på grund av differensen mellan simuleringsresultaten å ena sidan, och resultaten från mikrodestillering å andra sidan. Dessutom visade resultaten att mikrodestillation som analysmetod inte ger tillförlitliga resultat. Min förhoppning var att få ytterligare användbara resultat genom att studerar potentiella korrelationer emellan fler prover, men detta visade sig inte vara fallet. Jag anser att det skulle vara intressant att studera fler prover och använda en annan simulator för att bättre representera mikrodestillation. Detta skulle kunna vara ett intressant ämne för vidare studier.