Blar i Department of Energy Resources (TN-IER) på tittel
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Path design and optimization with obstacle avoidance via reinforcement learning
(Master thesis, 2022)For the last couple of decades, finding an optimized drilling path has been one of the key concerns for drilling engineers. It takes a couple of months to plan a well for a large number of people. The motive of this thesis ... -
Permeability evolution in chalk linked to stress and thermochemical aspects of North Sea reservoir conditions
(PhD thesis UiS;564, Doctoral thesis, 2020-12)The project was initiated by The National IOR Centre of Norway within the University of Stavanger and it aligns with the overall goal of the centre to improve oil recovery on the Norwegian Continental Shelf. It contributes ... -
Petrophysical Evaluation of the Thinly Bedded Nordmela Formation in the Johan Castberg Field, Barents Sea
(Masteroppgave/UIS-TN-IER/2020;, Master thesis, 2020-07)This study demonstrates how contrasting different distributions of shale in a reservoir determines the petrophysical properties. The Skrugard prospect (Well 7220/8-1), drilled in 2011, confirmed that the western Barents ... -
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 ... -
Porosity Evolution during Chemo-Mechanical Compaction
(Chapter, 2018)This chapter presents the constitutive equations necessary to interpret laboratory and field data when both solid and pore volume evolve through time due to chemical and mechanical processes. The equations for the porosity ... -
Porosity prediction from seismic data of the F3 block, offshore Netherlands, through seismic inversion and machine learning
(Master thesis, 2022)Porosity is a key rock property that influences reservoir quality and plays an important role in petroleum exploration and production. The most common sources of information for reservoir characterization are well and ... -
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) -
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 ... -
Prediction of Oil Recovery Factor in Stratified Reservoirs after Immiscible Water-Alternating-Gas Injection based on PSO-, GSA-, GWO-, and GA-LSSVM
(Peer reviewed; Journal article, 2022-01)In this study, we solve the challenge of predicting oil recovery factor (RF) in layered heterogeneous reservoirs after 1.5 pore volumes of water-, gas- or water-alternating-gas (WAG) injection. A dataset of ~2500 reservoir ... -
Prediction of Oil Recovery Factor in Stratified Reservoirs after Immiscible Water-Alternating-Gas Injection based on PSO-, GSA-, GWO-, and GA-LSSVM
(Peer reviewed; Journal article, 2022)In this study, we solve the challenge of predicting oil recovery factor (RF) in layered heterogeneous reservoirs after 1.5 pore volumes of water-, gas- or water-alternating-gas (WAG) injection. A dataset of ~2500 reservoir ... -
Prediction of permeability of tight sandstones from mercury injection capillary pressure tests assisted by a machine-learning approach
(Peer reviewed; Journal article, 2022) -
Prediction of Stress Correction Factor for Welded Joints Using Response Surface Models
(Chapter, 2021)While performing fatigue reliability analysis of the butt-welded joints it is vital to estimate the Stress Concentration Factor (SCF) at these joints. A common approach adopted by industry to estimate the SCF at weld toes ... -
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 ... -
Preparation and characterization of Nanocomposite gels for fracture plugging in chalks
(Masteroppgave/UIS-TN-IER/2019;, Master thesis, 2019-06)Excessive water production is a common challenge the oil industry is faced with. The lifting, treatment and disposal of produced water can cause a financial strain on the profitability of a hydrocarbon asset or even shorten ... -
Principle Component Analysis as a Method For Error Covariance Matrix Inflation
(Masteroppgave/UIS-TN-IER/2019;, Master thesis, 2019-07-13)An oil and gas discovery goes through a multiple-stage process to increase the understanding of the asset in hand. By increasing the understanding of the field, production plan gains extra credibility and the uncertainty ... -
Probabilistic decline curve analysis with multiple models
(Master thesis, 2022)Numerical models have been established to help understand the longevity of projects when exploring and drilling for hydrocarbons. They aid in understanding and optimizing decisions on the long-term feasibility of a project ... -
Probabilistic Machine Learning for Production Optimization Under Uncertainty
(Master thesis, 2023)This thesis investigates the application of Bayesian Optimization (BO) in the optimization of the Expected Net Present Value (ENPV) for oil field development. The objective is to maximize the ENPV while reducing the ... -
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 ... -
Probabilistic Time Estimation for Drilling Operations on NCS Using Monte Carlo.
(Master thesis, 2021)The purpose of this thesis is to present a probabilistic methodology for developing time estimates for drilling operations on the NCS, which can further be expanded to supplementary continental shelfs in the world, or for ... -
Probability elicitation using geostatistics in hydrocarbon exploration
(Peer reviewed; Journal article, 2021)The exploratory phase of a hydrocarbon field is a period when decision-supporting information is scarce while the drilling stakes are high. Each new prospect drilled brings more knowledge about the area and might reveal ...