Blar i UiS Brage på forfatter "Andersen, Pål Østebø"
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Influence of Adsorption Layer Thickness in Tight Compressible Shales subject to Gas Production
Abolghasemi, Erfan (Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020-07-15)The gas transport in shale nanopores has always been a major concern in developing shale gas reservoirs. Different gas flow regimes in shale nanopores have been studied and classified during recent years. Some mathematical ... -
Insights from Boltzmann transformation in solving 1D counter-current spontaneous imbibition at early and late time
Andersen, Pål Østebø (Peer reviewed; Journal article, 2023)Counter-current 1D spontaneous imbibition in scaled form is investigated using Boltzmann transform before and after water meets the closed boundary (early and late time). At early time the system is self-similar and only ... -
Interpretation of 1-D Counter-Current Spontaneous Imbibition Processes Using Microscopic Diffusion Theory and a Modified Buckley – Leverett Approach
Standnes, Dag Chun; Andersen, Pål Østebø; Papatzacos, Paul Georg; Skjæveland, Svein Magne (Peer reviewed; Journal article, 2020-04)This paper presents a new convenient and easy-to-use method to analyze and calculate measurable quantities in 1-D counter-current (COUC) spontaneous imbibition (SI) processes. Cumulative water imbibed vs time can be ... -
A LSSVR-PSO machine learning model for the estimation of reservoir porosity from petrophysical well logs
Luo, Zongqiang (Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020-06-10)Reservoir porosity is a key parameter in the reservoir evaluation and geomechanics. To obtain accurate measurement of porosity can be time-consuming and expensive by core sampling or applying various well logging tools. ... -
Machine Learning techniques for Prediction of Rock Properties from Reservoir Well Logs
Skjeldal, Miranda Ebsworth (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 ... -
Mathematical modeling of water-rock chemistry during water injection and its impact on the composition and porosity of chalk
Andersen, Pål Østebø (Masteroppgave/UIS-TN-IPT/2010;, Master thesis, 2010) -
Mineralogy and geochemistry of reservoir and non-reservoir chalk from the Norwegian continental shelf
Kallesten, Emanuela Iedidia; Zimmermann, Udo; Madland, Merete Vadla; Bertolino, Silvana R.A.; Omdal, Edvard; Andersen, Pål Østebø (Peer reviewed; Journal article, 2021-05)A first and detailed study of the geochemistry and mineralogy characterizing the North Sea reservoir and non-reservoir chalk is provided in this work. The study is based on 185 cores from exploration and development wells ... -
Modeling Viscosity of CO2 at High Temperature and Pressure Conditions
Amar, Menad Nait; Ghriga, Mohammed Abdelfatah; Ouaer, Hocine; Ben Seghier, Mohamed el Amine; Pham, Binh Thai; Andersen, Pål Østebø (Peer reviewed; Journal article, 2020-03)The present work aims at applying Machine Learning approaches to predict CO2 viscosity at different thermodynamical conditions. Various data-driven techniques including multilayer perceptron (MLP), gene expression programming ... -
Modelling of creep compacting outcrop chalks injected with Ca-Mg-Na-Cl brines at reservoir conditions
Andersen, Pål Østebø; Berawala, Dhruvit Satishchandra (Peer reviewed; Journal article, 2019)Numerical and analytical 1D solutions are presented to interpret the link between geochemical alterations and creep compaction (compaction under constant effective stress) in chalk cores. Chemically reactive flow enhancing ... -
Numerical Investigation of Non-Darcy Flow Regime Transitions in Shale Gas Production
Berawala, Dhruvit Satishchandra; Andersen, Pål Østebø (Peer reviewed; Journal article, 2020-07)Shale gas reservoirs are organic rich formations with often ultra-low permeability. Gas is stored in free and adsorbed form. Conventional Darcy flow cannot fully describe the gas transport in such porous media. It is thus ... -
Numerical Modelling of Gas Production and CO2 Injection in Tight Shale Reservoirs for Enhanced Gas Recovery
Berawala, Dhruvit Satishchandra (PhD thesis;560, Doctoral thesis, 2020-11)Natural gas production from shales has become exceedingly important in satisfying the ever-growing global energy demands. This unconventional hydrocarbon system is globally abundant, with large technically recoverable ... -
Permeability evolution of shear failing chalk cores under thermochemical influence
Kallesten, Emanuela Iedidia; Andersen, Pål Østebø; Madland, Merete Vadla; Korsnes, Reidar Inge; Omdal, Edvard; Zimmermann, Udo (Peer reviewed; Journal article, 2020-04)Development of petroleum reservoirs, including primary depletion of the pore pressure and repressurization during water injection naturally, leads to changes in effective stresses of the formations. These changes impose ... -
Prediction efficiency of immiscible Water Alternating Gas Performance by LSSVM-PSO algorithms
Kengessova, Aizhan (Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020)In this work the aim is developing LSSVM-PSO model capable of capturing the interplay between the most influential parameters (mechanisms) and recovery factor (RF) of WAG process in layered reservoirs. In a previous work ... -
Prediction of Oil Recovery Factor in Stratified Reservoirs after Immiscible Water-Alternating-Gas Injection based on PSO-, GSA-, GWO-, and GA-LSSVM
Andersen, Pål Østebø; Nygård, Jan Inge; Kengessova, Aizhan (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
Andersen, Pål Østebø; Nygård, Jan Inge; Kengessova, Aizhan (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
Abbasi, Jassem; Zhao, Jiuyu; Ahmed, Sameer; Jiao, Liang; Andersen, Pål Østebø; Cai, Jianchao (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
Andersen, Pål Østebø; Korsnes, Reidar Inge; Olsen, Andre Tvedt; Bukkholm, Erik (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 ... -
Reactive flow in chalk at reservoir temperature – Experiment and simulation
Bukkholm, Erik Trøiel (Bachelor thesis, 2021)This thesis seeks to study how 0.219 M MgCl2 brine flooded through chalk cores at reservoir temperatures will chemically react when flooded through at various flowrates. We used two different chalk cores. The cores were ... -
Reactive Flow Simulation
Raaholt, Magnus Kongestøl (Masteroppgave/UIS-TN-IER/2019;, Master thesis, 2019-06-15)Sea water-injection in carbonate formations leads to reactive processes that are linked to affecting oil recovery via wettability alteration and chemical compaction. The concentrations of divalent ions, such as Ca2+, Mg2+, ... -
Reactive flow with Sr-Ba-Mg brines in outcropped Mons chalk at reservoir conditions – experimental study
Herlofsen, Sander Sunde (Master thesis, 2022)