Blar i Studentoppgaver (TN-IER) på utgivelsesdato
Viser treff 61-80 av 147
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A study of Machine Learning application on net-to-gross prediction using seismic horizons. Case Study: The Brent Group - Statfjord Field
(Masteroppgave/UIS-TN-IER/2020;, Master thesis, 2020-07-15)As petroleum geosciences enter the era of big data, this field of study encompass difficult optimization and decision-making in real-world problems. The increasing number, difficulty, and scale of such specific problems ... -
Predictive Dynamic Models of the Upper Jurassic Ula Fm Aquifer Between the Ula and Oda Fields, Norwegian Central Graben, North Sea
(Masteroppgave/UIS-TN-IER/2020;, Master thesis, 2020-07-15)The Ula and Oda oil fields in the southern part of the Norwegian Central Graben have high quality Upper Jurassic sandstone reservoirs from the shallow marine Ula Fm. Pressure data from the Oda field indicates communication ... -
Provenance Evaluation of Lower Cretaceous in the Stappen High Area and Implications for Reservoir Development
(Masteroppgave/UIS-TN-IER/2020;, Master thesis, 2020-07-28)Southeast directed fluvio-deltaic systems transported across Svalbard during Early Cretaceous are age correlated to southeast progradation deposits in the in Fingerdjupet Subbasin. Both local (few km) and distal (>300 km) ... -
Enhancing regional scientific knowledge for the Ritland Impact Crater: Meteorite classification, mineralogical and impact shock characteristics
(Masteroppgave/UIS-TN-IER/2020;, Master thesis, 2020-08-14)Impactites from the Cambrian aged 2,7 km diameter Ritland impact crater in southwestern Norway were studied in detail using methods such as SEM (Scanning Electron Microscope), ICP-MS geochemistry, PGE (Platinum Group ... -
Optimized Smart Water Composition at Ekofisk Conditions
(Masteroppgave/UIS-TN-IER/2020;, Master thesis, 2020-12)Seawater has been performing as a wettability modifier in chalk reservoirs and has been used for this purpose for a long time. This wettability alteration enhances microscopic then overall displacement efficiencies. Having ... -
An Improved Approach in Estimating Gas Permeability for Tight Reservoir Rocks.
(Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020-12-15)The impact of the permeability on ultra-tight porous media influences flow behaviour inside the media. The unconventional reservoir gas permeability significantly impacts rock property estimation crucial to unconventional ... -
Multiple Wave Approximation Algorithm for Solving Hyperbolic Partial Differential Equations
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Numerical modelling of reverse circulation cementing with density unstable displacements in eccentric annulus
(Master thesis, 2021)This dissertation investigates the mechanics involved in reverse circulation cementing (RCC) with numerical modelling. Numerical simulations are done by utilising a computational fluid dynamics (CFD) software (OpenFOAM). ... -
Use of Machine Learning For Stuck Pipe Prediction
(Master thesis, 2021) -
Investigating the Effect of Injection Rate and Oil Viscosity on Oil Recovery during Waterflooding
(Master thesis, 2021)For over a century, waterflooding of oil reservoirs have been performed to improve oil recovery for two reasons: to provide pressure support to the reservoir and to displace the oil entrapped in the pores of the rock. ... -
Machine Learning techniques for Prediction of Rock Properties from Reservoir Well Logs
(Master thesis, 2021)Estimation of reservoir parameters is important in reservoir evaluation and estimation of petroleum volume. Reservoir parameters such as oil saturation, water saturation and porosity are derived from petrophysical logs or ... -
Predicting appointment attendance at an outpatient clinic
(Master thesis, 2021)Abstract Background and aim: No-show, refers to patients who do not show up in the scheduled appointment, which is a serious problem for many years in the hospital. Also, the no-show rates differ in countries because of ... -
A study of machine learning models application for porosity prediction using petrophysical well logs. Case Study: The Brent Group – Statfjord field
(Master thesis, 2021)The use of machine learning algorithms for predictive analytics is making a growing impact in the field of petroleum geosciences. With the increasing cost and time-related factors for obtaining accurate porosity measurements ... -
Optimization of a smart water composition for Enhanced Oil Recovery study by wettability alteration in carbonates at high temperature.
(Master thesis, 2021)Seawater due to its wettability modifying qualities has proved to be an excellent injection fluid in chalk. At high temperature seawater alter wettability towards more water-wet conditions thus improving the overall oil ... -
Machine learning based shale volume prediction from the Norwegian North Sea
(Master thesis, 2021)Petroleum geosciences, like other fields, has entered the era of new advanced technologies to handle problems related to complex massive data sets and decision making. The growing quantity of subsurface datasets has created ... -
Sequence Stratigraphic Evaluation of Lower Goru Sequence (Massive Sands) and Sembar in Block ‘X’, Lower Indus Basin, Pakistan
(Master thesis, 2021)Block ‘X’ is situated in the prolific oil- and gas-producing Lower Indus Basin of Sindh Province, Pakistan where the Sembar-Goru Petroleum System features high-quality prodeltaic to open marine source rocks in the Lower ... -
A Decision Analysis Framework for Offshore Green Ammonia Project Investments
(Master thesis, 2021)Ammonia has great importance to our daily lives – it is used in household cleaning products and to make agricultural fertilizers. Recently it has attracted attention from the energy sector, since it can be used as a ... -
Conditional data generation for an improved diagnosis in prostate cancer
(Master thesis, 2021)Prostate Cancer is the second most common cancer in men worldwide, the fourth most commonly occurring cancer overall and the sixth leading cause of cancer death among men worldwide. Early detection of prostate cancer is ... -
Unsupervised Learning for Prostate Tumor Detection
(Master thesis, 2021)The detection of a lesion in the prostate can be a challenging task and is crucial for the early diagnosis of Prostate Cancer (PCa). Magnetic Resonance Imaging (MRI) examination provides a comfortable and precise solution ... -
Reinforcement Learning for Automated Power Grid Operation: Can a machine be trained to operate a power grid?
(Master thesis, 2021)The increasingly high demand and amount of renewable energy sources in the power grid have added more complexity to power grid operations. The electrical power system must ensure that the generated power and the consumed ...