Kerogen kinetics and the effect of rock matrix: Insights from Western Greece

Acknowledgments The authors would like to acknowledge Dr. Nikolaos Kallithrakas-Kontos for his contribution to XRF analyses, carried out at the Technical University of Crete. We also thank Mr. Konstantinos Perleros and Dr. Paraskevi Lampropoulou, from the Department of Geology, University of Patras, for their assistance with the XRD analysis. Appreciation is extended to Miss Iona Copley, from the Department of Geology and Geophysics, University of Aberdeen, for her assistance with kerogen isolation, and to Dr. Andrea Schito for his overall support with the isolation process. We also thank Dr. Spyridon Bellas for the related geological discussions. Finally, special appreciation is given to the Guest Editors, Dr. Stavros Kalaitzidis and Dr. Kimon Christanis, for their insightful comments, as well as to Dr. Paul Hackley and the second anonymous reviewer for their valuable feedback, comments, and perspectives on the manuscript.Peer reviewe

Evaluation of Gas Generation Potential Using Thermal Maturity Modelling—The Katakolo Case: A Probable Pathway to Energy Transition

It is evident that the increased focus on energy transition, will increase the demand for gas as it is the transitional fuel to the net zero CO2 emission era. The West Katakolo field is the only oil and gas discovery in Western Greece, and it is operated by Energean. The three offshore West Katakolo wells have defined both the oil and the gas zones, while onshore exploration wells have penetrated biogenic gas-saturated Plio-Pleistocene sands. This study assesses the gas generation potential of the local Plio-Pleistocene and Triassic sources using thermal maturity modelling based on the available legacy data, with limitations being addressed by running several case-scenarios. In conclusion, this study supports the generation of thermogenic and biogenic gas from the Triassic and Plio-Pleistocene sources respectively, demonstrating the importance of maturity modelling in hydrocarbon exploration, applied on the Katakolo case; a potential gas source to facilitate the energy transition in Greece

Determination of the continuity in oil reservoirs using principal component analysis of biomarker data

Summarization: In order to develop an optimum production scheme in an oil reservoir it is very important to determine accurately the internal geometry (continuity and compartmentalisation). Usually geophysical logging methods are used for this purpose, which are expensive and time consuming. Additional information can be derived on the basis of differences in physical properties and/or in chemical composition within oil samples produced from separate compartments in a reservoir. The major problem is that oil samples coming from the same formation exhibit minor physico-chemical differences. Hence, it is difficult to develop a reliable discriminating algorithm. This paper presents a novel analytical approach, which enables accurate discrimination between the oil samples coming from different wells in a layered reservoir, which exhibit minute differences in physical and in chemical properties. The method uses the biomarkers data obtained from the GC–MS m/z 191 fragmentogram of the saturated fraction of the oils. Principal Component Analysis (PCA) method was applied to discriminate oils into groups. The classification scheme obtained using the proposed analytical method was found to be in agreement with the available geological and geophysical data, which describes the internal geometry of the reservoir under study.Presented on: Petroleum Science and Technolog

Evaluation of Gas Generation Potential Using Thermal Maturity Modelling—The Katakolo Case: A Probable Pathway to Energy Transition

It is evident that the increased focus on energy transition, will increase the demand for gas as it is the transitional fuel to the net zero CO2 emission era. The West Katakolo field is the only oil and gas discovery in Western Greece, and it is operated by Energean. The three offshore West Katakolo wells have defined both the oil and the gas zones, while onshore exploration wells have penetrated biogenic gas-saturated Plio-Pleistocene sands. This study assesses the gas generation potential of the local Plio-Pleistocene and Triassic sources using thermal maturity modelling based on the available legacy data, with limitations being addressed by running several case-scenarios. In conclusion, this study supports the generation of thermogenic and biogenic gas from the Triassic and Plio-Pleistocene sources respectively, demonstrating the importance of maturity modelling in hydrocarbon exploration, applied on the Katakolo case; a potential gas source to facilitate the energy transition in Greece

Classification of gasoline samples using variable reduction and expectation-maximization methods

Summarization: Gasoline classification is an important issue in environmental and forensic applications. Several categorization algorithms exist that attempt to correctly classify gasoline samples in data sets. We demonstrate a method that can improve classification performance by maximizing hit-rate without using a priori knowledge of compounds in gasoline samples. This is accomplished by using a variable reduction technique that de-clutters the data set from redundant information by minimizing multivariate structural distortion and by applying a greedy Expectation-Maximization (EM) algorithm that optimally tunes parameters of a Gaussian mixture model (GMM). These methods initially classify premium and regular gasoline samples into clusters relying on their gas chromatography-mass spectroscopy (GC-MS) spectral data and then they discriminate them into their winter and summer subgroups. Approximately 89% of the samples were correctly classified as premium or regular gasoline and 98.8% of the samples were correctly classified according to their seasonal characteristics.Παρουσιάστηκε στο: International Conference of Computational Methods in Sciences and Engineerin

Προσδιορισµός µεταβολών χηµικής σύστασης χρησιµοποιηµένων ορυκτελαίων κατά την διεργασία της καταλυτικής υδρογόνωσης

Μη διαθέσιμη περίληψηNot available summarizationΠαρουσιάστηκε στο: 1ο Πανελλήνιο Συνέδριο Χηµικής Μηχανική

Identifying constituents in commercial gasoline using Fourier transform-infrared spectroscopy and independent component analysis

Summarization: A new method is proposed that enables the identification of five refinery fractions present in commercial gasoline mixtures using infrared spectroscopic analysis. The data analysis and interpretation was carried out based on independent component analysis (ICA) and spectral similarity techniques. The FT-IR spectra of the gasoline constituents were determined using the ICA method, exclusively based on the spectra of their mixtures as a blind separation procedure, i.e. assuming unknown the spectra of the constituents. The identity of the constituents was subsequently determined using similarity measures commonly employed in spectra library searches against the spectra of the constituent components. The high correlation scores that were obtained in the identification of the constituents indicates that the developed method can be employed as a rapid and effective tool in quality control, fingerprinting or forensic applications, where gasoline constituents are suspected.Presented on: Analytica Chimica Act