Browsing NTNU Open by Author "Berg, Carl Fredrik"
Now showing items 21-40 of 47
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Energy efficiency of oil and gas production plant operations
Sutoyo, Handita Reksi Dwitantra; Angga, I Gusti Agung Gede; Schümann, Heiner; Berg, Carl Fredrik (Journal article; Peer reviewed, 2023)The exploitation of subsurface resources is an energy-intensive activity leading to substantial emissions. The main energy consumer for hydrocarbon production is gas compression and pumping. In this article, we investigate ... -
Experimental Investigation of Osmosis as a Mechanism for Low-Salinity EOR
Pollen, Erik N. (Master thesis, 2017)The topic of this thesis is an experimental investigation of osmosis as a mechanism for low-salinity enhanced oil recovery by evaluation of the effect of surface-to-volume ratio on oil recovery. Increased oil recovery due ... -
EXPERIMENTAL STUDY ON THE EFFECT OF LOW WATER SALINITY AND IONIC COMPOSITION ON WETTABILITY ALTERATION IN CARBONATES.
Gbadebo, Nafiu Adejumo (Master thesis, 2021)Bergfuktbarhet spiller en viktig rolle i oljeproduksjonen. En liten endring i fuktighet i fjell mot mer fuktighet i vann vil ha en betydelig endring i oljeproduksjonen. Karbonat bergarter har en tendens til å være fortrinnsvis ... -
Exploring the Transferability of Optimization Methods from Production to Storage: A Case Study of CO2 Injection at Smeaheia
Mohsenifesegandis, Alireza (Master thesis, 2024)Hovedmålet med denne forskningen var å utvikle en arbeidsflyt for optimalisering av plassering av injeksjonsbrønner ved bruk av reservoarsimuleringsteknikker. Denne studien fokuserer på Smeaheia CO2-lagringsprosjektet og ... -
Fine-Tuning of Faster Region-Based Convolutional Neural Network for Automatic Core Plug Detection in Optical Core Images
Adelved, Dennis (Master thesis, 2020)Denne oppgaven presenterer to fremgangsmåter for å trene en Faster Region-based Convolutional Neural Network (Faster R-CNN) objektgjenkjenningsmodell. Denne modellen kan brukes til automatisk gjenkjenning av både CCA og ... -
Geometrically derived efficiency of slow immiscible displacement in porous media
Berg, Carl Fredrik; Slotte, Per Arne; Hosseinzade Khanamiri, Hamid (Peer reviewed; Journal article, 2020)The efficiency of a displacement is the fraction of applied work over the change in free energy. This displacement efficiency is essential for linking wettability to applied work during displacement processes. We quantify ... -
Identification of the Transition Between Two Phase Flow Regimes in Sphere Packs
Husøy, June Katrin Strand (Master thesis, 2018)This thesis presents an experimental investigation of the simultaneous immiscible two phase flow, in three dimensional porous media made up of glass beads. The objective of this thesis was to find the scaling relation ... -
Joint well-placement and well-control optimization for energy-efficient water flooding of oil fields
Angga, I Gusti Agung Gede; Bergmo, Per Eirik Strand; Berg, Carl Fredrik (Journal article; Peer reviewed, 2023)Hydrocarbon production driven by water flooding is energy-intensive. This paper presents well-placement and joint well-placement-and-control optimization studies with objective function taking into account emissions, ... -
Lattice Boltzmann Modeling of microfluidic two-phase flow with complex pore structure
Hannanu, Muhammad Iffan (Master thesis, 2019)In the past, the technology to capture a high-resolution image was not mature enough to enable pore-scale modeling and simulation. Additionally, including sufficient pore geometry complexities leads to a heavy computational ... -
Lithology classification of whole core CT scans using convolutional neural networks
Chawshin, Kurdistan; Berg, Carl Fredrik; Varagnolo, Damiano; Lopez, Olivier (Journal article; Peer reviewed, 2021) -
Lithology classification of whole core CT scans using convolutional neural networks
Chawshin, Kurdistan; Berg, Carl Fredrik; Varagnolo, Damiano; Lopez, Olivier (Peer reviewed; Journal article, 2021)X-ray computerized tomography (CT) images as digital representations of whole cores can provide valuable information on the composition and internal structure of cores extracted from wells. Incorporation of millimeter-scale ... -
Machine learning procedures for automatic well planning in reservoir simulation models
Kristoffersen, Brage Strand (Doctoral theses at NTNU;2021:404, Doctoral thesis, 2021)Simulation of reservoir models is a tool to optimize the development of an oil and gas reservoir. Part of the development is placement of wells in the reservoir, and this well placement optimization process is performed ... -
Multi-Phase Segmentation of Imaged Fluid Distribution in Porous Media Using Deep Learning
Vikdal, Ådne Årevik (Master thesis, 2021)Nøyaktig segmentering av CT-bilder er en nøkkelfaktor i utviklingen av Digital Rock Models. Tradisjonell segmenteringsarbeidsflyt er arbeidskrevende ettersom den er avhengig av manuell samhandling og kvalitetskontroll. De ... -
Optimal Well Inflow Modelling
Nakibuule, Maria Assumpta (Master thesis, 2021)Horisontale brønner (HWs) er utplassert i hydrokarbonreservoarer for å øke reservoarets kontringsområde og dermed utvinning. Trykktap langs brønnens lengde, og reservoarets heterogenitet skaper en ubalansert brønninnstrø ... -
Optimizing the Rate Balance Between Multiple CO2 Injectors for the Aurora Storage Site
Alali, Jalal (Master thesis, 2023)Den globale utfordringen med å redusere klimagassutslipp har nødvendiggjort utviklingen av effektive strategier for fangst og lagring av karbon (CCS). Denne oppgaven fokuserer på optimalisering av CO2-injeksjonsoperasjonen ... -
Polynomial Chaos Expansion for Uncertainty Quantification in Closed-Loop Reservoir Management
Diaa-Eldeen, Tarek; Hovd, Morten; Berg, Carl Fredrik (Chapter, 2023)Closed-loop reservoir management (CLRM) is a model-based optimal control procedure that aims at optimizing oil and gas production strategies under both physical and operational constraints and large model uncertainties. ... -
Pore Scale Irreversibility in Immiscible Two-Phase Flow in Porous Media
Vahlin, Viktoria Christine (Master thesis, 2024)Denne masteroppgaven undersøker egenskapene til ikke-blandbar tofasestrøm under tidsreversering. Arbeidet er gjennomført ved hjelp av numeriske gitter Boltzmann simuleringer. Studien ser på ensembler av tre ulike typer av ... -
Predicting Inter-Pore Hydraulic Conductivity Using Convolutional Neural Network
Kårstad, Tormod (Master thesis, 2022)Det overordnede målet for denne oppgaven er å utvikle en metode for å generere presise estimat av strømningsegenskaper. Oppgaven beskriver et forsøk på å bruke et konvolusjonelt nevralt nettverk (CNN) til å predikere den ... -
Predicting Resistivity and Permeability of Porous Media Using Minkowski Functionals
Slotte, Per Arne; Berg, Carl Fredrik; Hosseinzade Khanamiri, Hamid (Journal article; Peer reviewed, 2019)Permeability and formation factor are important properties of a porous medium that only depend on pore space geometry, and it has been proposed that these transport properties may be predicted in terms of a set of geometric ... -
A quantitative study of salinity effect on water diffusion in n-alkane phases: from pore-scale experiments to molecular dynamic simulation
Yan, Lifei; Chang, Yuanhao; Hassanizadeh, S. Majid; Xiao, Senbo; Raoof, Amir; Berg, Carl Fredrik; He, Jianying (Peer reviewed; Journal article, 2022)Numerous mechanisms have been proposed to untangle the effect of a low concentration of dissolved salts in the water flooding medium. One potential mechanism for enhanced oil movement is proposed with osmosis effect, ...