Department of Energy Resources (TN-IER): Nye registreringer
Viser treff 41-60 av 283
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Machine learning based seismic classification for facies prediction
(Master thesis, 2023)This thesis explores the performance of machine learning (ML) methods for predicting facies from seismic attributes for 2D and 3D datasets. It focuses on building, training, and testing four supervised methods: Logistic ... -
Design & Implementation of MLOps (Machine Learning Operations) Platform in Cloud Environment
(Master thesis, 2023)Machine Learning Operations (MLOps) concept has emerged basically to decode the shortcomings of traditional Machine Learning (ML) life cycle management in industrial applications. The incorporation of Continuous Integration ... -
Testing the impact of standard geomodelling techniques
(Master thesis, 2023)Geomodelling is an important tool in the oil and gas industry, it gives a visual 3D representation of the subsurface. In order to construct a 3D representation of the subsurface a comprehensive building process is required, ... -
Hydrological geological catalogue of Mars
(Bachelor thesis, 2023) -
Microplastic occurrence in selected sediments samples in Rogaland – a pilot study
(Bachelor thesis, 2023)Microplastic pollution is of growing concern and is today one of the most important problems of the Earth. When microplastic is release into the environment it can have major impact on both humans and other living being. ... -
Operatør bias i punkttelling
(Bachelor thesis, 2023)Tynnslip punktelling er en metode for å finne mineral sammensetningen til en bergart. Ulike feil kan påvirke resultatet. Målet med studien er å studere effekten av operatør bias av punkttelling resultater. Operatør bias ... -
PTA-metrics for time-lapse analysis of well performance
(Peer reviewed; Journal article, 2023)Monitoring of a well and the surrounding reservoir performances is a crucial component in evaluating on-going and planning future well and field operations. This is carried out at all stages of a well life-span: from ... -
A natural Hessian approximation for ensemble based optimization
(Peer reviewed; Journal article, 2023)A key challenge in reservoir management and other fields of engineering involves optimizing a nonlinear function iteratively. Due to the lack of available gradients in commercial reservoir simulators the attention over the ... -
Compositional variation of the Zechstein Group in the Norwegian North sea: Implications for underground storage in salt caverns
(Peer reviewed; Journal article, 2023)Halite beds in the upper Permian Zechstein Group represent an opportunity for the future development of underground storage caverns. However, geological factors such as lithological heterogeneities, cap rock characteristics ... -
Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery
(Peer reviewed; Journal article, 2022)In this contribution, we develop an efficient surrogate modeling framework for simulation-based optimization of enhanced oil recovery, where we particularly focus on polymer flooding. The computational approach is based ... -
Polysulphate: A New Enhanced Oil Recovery Additive to Maximize the Oil Recovery From Carbonate Reservoirs at High Temperature
(Peer reviewed; Journal article, 2022)Seawater (SW) injection is an enhanced oil recovery (EOR) success in the North Sea carbonate reservoirs due to wettability alteration toward a more water-wet state. This process is triggered by the difference in composition ... -
Prediction of permeability of tight sandstones from mercury injection capillary pressure tests assisted by a machine-learning approach
(Peer reviewed; Journal article, 2022) -
Reaction kinetics determined from core flooding and steady state principles for Stevns Klint and Kansas chalk injected with MgCl2 brine at reservoir temperature
(Peer reviewed; Journal article, 2022)A methodology is presented for determining reaction kinetics from core flooding: A core is flooded with reactive brine at different compositions with injection rates varied systematically. Each combination is performed ... -
Potential for improving the efficiency of terrigenous oil deposits waterflooding with the use of low salinity technology at fields of the Tatarstan Republic
(Peer reviewed; Journal article, 2022) -
Optimum directional well path design considering collapse and fracture pressures
(Peer reviewed; Journal article, 2022)Well path optimisation is often done based on the wellbore stability where the production related concerns are ignored. In fact, many of the studies carried out in the past have not included hydraulic fractures into their ... -
Assessment of parameters effectiveness in the reserve estimation methods applicable to coal bed methane reservoirs
(Peer reviewed; Journal article, 2022)The reserve estimation of coal bed methane (CBM) reservoirs is ascertained through the analytical methods (volumetric method, material balance equation and decline curve analysis). However, the adoption of reserve estimation ... -
Influence of Sandstone Mineralogy on the Adsorption of Polar Crude Oil Components and Its Effect on Wettability
(Peer reviewed; Journal article, 2022)The crude oil–brine–rock (COBR) system is a combination of contacting phases where polar organic molecules in crude oil, inorganic ions from the brine phase, and charged mineral surfaces participate in complex interactions. ... -
Assessment of a mature hydrocarbon field in SE Czech Republic for a CO2 storage pilot
(Lecture, 2022)Preparation and execution of a CO2 storage pilot project is one of the first logical steps in the effort to kick-start CCS in the region of Central & Eastern Europe, utilizing onshore geological structures for permanent ... -
Theoretical Comparison of Two Setups for Capillary Pressure Measurement by Centrifuge
(Peer reviewed; Journal article, 2022)There are several approaches for the calculation of capillary pressure curves in porous media including the centrifuge method. In this work, a new installation of centrifuge test is introduced and compared with the traditional ... -
Probabilistic model-error assessment of deep learning proxies: an application to real-time inversion of borehole electromagnetic measurements
(Peer reviewed; Journal article, 2022)The advent of fast sensing technologies allow for real-time model updates in many applications where the model parameters are uncertain. Once the observations are collected, Bayesian algorithms offer a pathway for real-time ...