Blar i UiS Brage på forfatter "Buland, Arild"
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Bayesian Lithology and Fluid Prediction on the Mikkel Field using a geologically constrained prior model
Castillo, Isaias (Masteroppgave/UIS-TN-IPT/2017;, Master thesis, 2017-06)The main objective of this project was to predict lithology and fluid classes from prestack seismic data at the Mikkel field in the Norwegian Sea. Segments 5 and 7 on the flank of the main field are of special interest ... -
Bayesian seismic inversion for stratigraphic horizon, lithology, and fluid prediction
Kolbjørnsen, Odd; Buland, Arild; Hauge, Ragnar; Røe, Per; Ndingwan, Abel Onana; Aker, Eyvind (Peer reviewed; Journal article, 2020)We have developed an efficient methodology for Bayesian prediction of lithology and pore fluid, and layer-bounding horizons, in which we include and use spatial geologic prior knowledge such as vertical ordering of ... -
Joint Bayesian AVO and RMO inversion
Saadallah, Lamine-Yanis (Masteroppgave/UIS-TN-IER/2019;, Master thesis, 2019-06-15)Seismic amplitude variation with offset (AVO) has proved to be a useful technique in oil exploration. However, the sensitivity of AVO to residual move-out (RMO) is considered a severe limitation. Small misalignments between ... -
Machine and Deep Learning for Lithofacies Classification from Well Logs in the North Sea.
Masapanta, John (Master thesis, 2021)Lithology identification by using well log data is an initial and fundamental step within petroleum geosciences; same that provides essential information about the subsurface and plays a crucial role in reservoir ... -
Multi-Attribute Seismic Analysis Using Unsupervised Machine Learning Method: Self-Organizing Maps
Mansoor, Syeda Vania (Master thesis, 2021)Seismic attributes are a fundamental part of seismic interpretation and are routinely used by geoscientists to extract key information and visualize geological features. By combining different findings from each attribute, ... -
Rock physics models for Cenozoic siliciclastic sediments in the North Sea
Bilalova, Adelya (Masteroppgave/UIS-TN-IPT/2017;, Master thesis, 2017-06)The Norwegian North Sea is a huge and mature hydrocarbon province which has been mapped extensively since the discovery of oil and gas in the late 1960s. There is a numerous amount of data that is available for companies ... -
Seismic Inversion for Fluid and Lithology Prediction of the Mikkel Field
Nguyen, Phuong Thanh (Masteroppgave/UIS-TN-IPT/2016;, Master thesis, 2016-06)This study includes structural interpretation of main key horizons in the study area. AVO modelling, seismic colored inversion and extended elastic impedance are performed to support the structural interpretation and to ... -
A study of Machine Learning application on net-to-gross prediction using seismic horizons. Case Study: The Brent Group - Statfjord Field
Pratikna, Khoirrashif (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 ...