Print Email Facebook Twitter Reservoir lithology determination from seismic inversion results using markov processes Title Reservoir lithology determination from seismic inversion results using markov processes Author Feng, R. (TU Delft Applied Geology) Contributor Luthi, S.M. (promotor) Drijkoningen, G.G. (copromotor) Degree granting institution Delft University of Technology Date 2017-12-08 Abstract For reservoir characterization, the subsurface heterogeneity needs to be qualified in which the distribution of lithologies is an essential part since it determines the location and migration paths of hydrocarbons. Preliminary analysis of well-log data could help to identify various lithologies in a one-dimensional direction (depth), while the lateral information is missing because of the sparse locations. On the other hand, a larger areal coverage of the target reservoir could be provided by seismic data, and from the inversion thereof, inferences of lithologies could be made. However, just like other geophysical inversions, translation of seismic inversion results to these categorical variables (lithologies) is a non-unique problem, which means that different lithologies could produce the same, or similar, property responses. In order to mitigate this problem, geological prior information should be introduced in the sense of Bayes’ theorem. Thus, the main motivation for this thesis is to investigate the usage of geological prior information in the classification of reservoir lithologies from properties obtained from seismic inversion. Different methods have been tried in this process in order to fully understand their performances and to make comparisons. Subject seismic inversionMarkov processesreservoir lithology To reference this document use: https://doi.org/10.4233/uuid:f6d01dfc-9267-4a21-8432-8a6a1eb30daa ISBN 978-94-6186-864-0 Part of collection Institutional Repository Document type doctoral thesis Rights © 2017 R. Feng Files PDF dissertation_1_Feng.pdf 119.27 MB Close viewer /islandora/object/uuid:f6d01dfc-9267-4a21-8432-8a6a1eb30daa/datastream/OBJ/view