Grading limits:
90% or above 5, excellent 80% to 89% 4, good 70% to 79% 3, medium 60% to 69% 2, satisfactory Below 60% 1, unsatisfactory
Position in Curriculum (which semester): third Pre-requisites (if any):
Course Description:
Acquired store of learning:
Study goals: are establishing interdisciplinary knowledge base for understanding and assessing business environment of E&P industry
Course content:Brief summary of some general economic issues in micro-economics.Basis of economic approach including cash flow modeling, time preference (concept of compound interest and present value). Forecast of key factors determining E&P business in the future. Methods determining key economic indicators. Features of appraisal an individual asset applying economic indicators and their constraints in risk-free case. Basic geological, technical and economical features of petroleum industry investment in case of exploration, field development, production and abandonment (risks, resources, reserves, venture capital). Summary of methods applied for estimation resources and reserves of E&P assets.Crude oil and natural gas price history and price forecasting models. Risks "measurements" and their impact on assets value (expected value concept, Monte Carlo simulation).
Evaluation uncertainty and risk of various parameter estimates and their impact on (economic) indicators calculated. Non-quantifiable (risk) factors and their impact on asset evaluation.Evaluation of assets groups (portfolio assessment). The place and role of oil companies worldwide: typical contracts and tax systems in various countries ranked in terms of hydrocarbon availability, profitability and risk.
Education method: Presentation with slide show Competencies to evolve:
T1, T2, T3, T6, T7, T8, T10, T12, K4, K6, K7, K8, K10, K11, A1, A2, A3, A7, A8, A9, F1, F2, F3, F4, F5 The 3-5 most important compulsory, or recommended literature (textbook, book) resources:
Seba, R.D. (1998): Economics of Worldwide Petroleum Production. OGCI Publications Tulsa, p.582.
Megill, R.E. (1984): An Introduction to Risk Analysis. PennWell Books Tulsa, p.274, ISBN 0878142576.
Daniel Johnston (1992): Oil Company Financial Analysis in Nontechnical Language (Pennwell Nontechnical Series).
SPE (2007): Petroleum Resources Management System
http://www.spe.org/industry/reserves/docs/Petroleum_Resources_Management_System_2007.pdf
SPE (2011): Guidelines for Application of the Petroleum Resources Management System http://www.spe.org/industry/docs/PRMS_Guidelines_Nov2011.pdf
Responsible Instructor(name, position, scientific degree):
Zsolt Komlósi Dr., honored associate professor
Other Faculty Member(s) Involved in Teaching, if any (name, position, scientific degree):
Imre Szilágyi , assistant lecturer (Eötvös Loránd University)
Course Title: Analysis of petroleum systems, prospect evaluation Credits: 2
Type (lec. / sem. / lab. / consult.) and Number of Contact Hours per Week: sem. 2 Neptun code: MFFAT730003
Type of Assessment(exam. / pr. mark. / other):pr. mark
Grading limits:
>80%: excellent, 70-80%: good, 60-70%: medium, 50-60%: satisfactory,
<50%: unsatisfactory.
Position in Curriculum (which semester): third Pre-requisites (if any):
Course Description:
Acquired store of learning:
Study goals:
Course content:This topic presents a modern approach to the analysis of sedimentary basins, emphasizing the fundamental controls on basin development. The mechanisms controlling large-scale basin evolution are integrated with structural evolution and sedimentary processes. Analysis techniques include quantitative geophysical modelling, seismic interpretation and detailed sedimentary and stratigraphic analysis of basin infill. Fundamentals of play-based exploration aimed at demonstrating the integration of all aspects of petroleum exploration and petroleum systems analysis. The course includes seismic interpretation, well correlation and common risk segment mapping and the integration of reservoir, source, seal and trap analysis. Prospect and play risk analysis is also outlined as a basis for generating a consistent approach to estimating risked volumetric estimations. This course is deliberately practical and is used as a precursor to the annual European Heath of the Imperial Barrel Award competition (AAPG).
Education method:
Competencies to evolve:
T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T12, K1, K2, K3, K4, K5, K6, K7, K8, K9, K10, K11, F1, F2, F3
The 3-5 most important compulsory, or recommended literature (textbook, book) resources:
Bjorlykke, K., 2010: Petroleum Geoscience. From Rock Sediementary Environments to Rock Physics. Springer Verlag
Magoon, L.B., Dow W.G., 1994: The Petroleum System – From Source to Trap. In AAPG Memoir 60, p. 3-24
Otis, R.M., Schneidermann, N., 1997: A Process for Evaluating Exploration Prospects. In AAPG Bulletin, Vol. 81, No.7, p. 1087-1109
Rose, P.R., 2001: Risk Analyses and Management of Petroleum Exploration Ventures. In AAPG Methods in Exploration Series No. 12
Tissot, B.P & Welte, D.H. 1978: Petroleum Formation and Occurence. A new Approach to Oil and Gas Exploration. Springer-Verlag
Responsible Instructor(name, position, scientific degree):
Imre Szilágyi., assistant lecturer (Eötvös Lóránd University)
Other Faculty Member(s) Involved in Teaching, if any (name, position, scientific degree):
Ahmed Amran Dr., PhD (MOL Group)
Course Title: Reservoir geology and modeling Credits: 3
Type (lec. / sem. / lab. / consult.) and Number of Contact Hours per Week: lec. 2, sem. 1 Neptun code: MFFAT730002
Type of Assessment(exam. / pr. mark. / other):exam Grading limits:
>80%: excellent, 70-80%: good, 60-70%: medium, 50-60%: satisfactory, <50%: unsatisfactory.
Position in Curriculum (which semester): third Pre-requisites (if any):
Course Description:
Acquired store of learning:
Study goals:Reservoir geology is a fundamental skill to integrate data from various disciplines at different scales from the exploration to the production of oil and gas. Through 3D modelling and visualisation packages high-resolution models but require well trained professionals with good command on the basics and on manual skills of core-, log-, test evaluation and mapping procedures to properly select input and to understand and validate output data (QC).
Course content:Introduction – aims and role of integrated reservoir management in the upstream value chain.Reservoir Geology – why is it a fundamental component in reservoir management?Phases in Reservoir Geology: from operative plans to strategic vision.Consistency and coherency: key elements of understanding our reservoirs properly. Duties of geoscientists and engineers. Analysis of Reservoir Rocks – the only source of direct measurements and observations. Cores and core description. Lithology, facies and facies groups, lithostratigraphy.
Depositional and diagenetic history: main factors controlling reservoir heterogeneity. Conventional (CCAL) and special core analysis (SCAL): elements connecting static and dynamic models. Determination of reservoir geometry – steps to determine reservoir bulk rock volume (BRV). Stratigraphic correlation panels: zonation of stratigraphic sequences. Tectono-stratigraphic charts: summarising stratigraphic units and hiatus. Structural cross sections: determination and visualisation of structural elements. Reservoir zonation: determining and visualising reservoir complexity as the main element controlling subsurface fluid flow. Determination of Pay Rock Volume (PRV). Tectonic/structural implications controlling the spatial extension of reservoir rock(s). Lithological and petrophysical implications controlling reservoir rock heterogeneity andsubsurface flow. Definition of fluid contact types. Vertical delineation of PRV: practical determination of oil/water and gas/oil contacts. Visualisation of hydrocarbon saturation distribution: contact charts and saturation profiles. Reservoir geological (static) model and volumetric determination of Petroleum Initially - in – Place (PIIP). Selection, acquisition, integrated validation and management of subsurface data for calculating PIIP. Assessment of uncertainties in delineation of pay rock volume. Mapping reservoir structure, gross and net thickness, and reservoir properties. Rules of determining and mapping reservoir thickness values. Principles of mapping reservoir parameters. Steps of building a high resolution 3-D model. Feedback from dynamic model and field performance data to upgrade the static model. Resource – reserves categorization (terms and definitions;classification/categorization systems,SEC and SPE-PRMS, UNFC as most frequently used systems; challenges and responses).
Education method:
Competencies to evolve:
T1, T2, T4, T5, T6, T7, T8, T9, T10, T12, K3, K4, K5, K6, K7, K8, K9, K10, K11, A1
The 3-5 most important compulsory, or recommended literature (textbook, book) resources:
István BÉRCZI: Development Geology, HOT Engineering, 2009. 480p.
CATAPANG, Timothy John: Basic Petroleum Geology.
SELLEY, R. C.: Elements of Petroleum Geology.
University of Texas: Petroleum Geology & Reservoirs, www.utexas.edu.
Ashton, Michael: Advances in reservoir geology. The Geological Society, 1992 - 240 p.
Hocott, C. R.: Basic reservoir engineering for geologists., The Geological Society, 1978 - 42 p.
Responsible Instructor(name, position, scientific degree):
Viktor Mádai Dr., associate professor, PhD
Course Title: In-field seismic techniques and interpretation Credits: 4
Type (lec. / sem. / lab. / consult.) and Number of Contact Hours per Week: lec. 1, sem. 3 Neptun code: MFGFT730012
Type of Assessment (exam. / pr. mark. / other):pr. mark
Solving practical problems. Evaluation of the self-sufficient task, and/or oral exam (under the system in ECTS).
Grading limits:
>86%: excellent, 71-85%: good, 61-70%: medium, 46-60%: satisfactory, <45%: unsatisfactory.
Position in Curriculum (which semester): third
Pre-requisites (if any):Exploration Seismic Techniques and Interpretation Course Description:
Introduction into the basics, petrophysical aspects, applications and uses of reservoir geophysics.
Students gain insight to the data acquisition, deata processing and interpretation geophysical data recorded over operational CH production fields.
Acquired store of learning:
Study goals:
Based on the lectures delivered during the course titled "Exploration Seismic Techniques and Interpretation"
advanced geophysical methods are also illustrated in relation to the application of reservoir geophysics to field development and reservoir management: 3-D/4-D seismic, share waves and 3 component (3-C) data recording and data processing, 3-D visualization, amplitude studies, AVO, and elastic inversion. The petroleum production significance associated with each seismic data set evaluated is emphasized.
Short content of the course:
Introduction to reservoir geophysics. Practical role of surface geophysical methods in oil and gas reservoirs exploration, development and production. The life cycle of the reservoir in O&G industry, the main aspects of economic decision-making, the role of geotechnical information in decision-making. Geophysical information to the field development plan, the static reservoir models. Structural uncertainty, velocity modelling, depth conversion. DHI analysis. Mapping of facies and characteristics, seismic inversion. Pressure and saturation monitoring, 4-D seismic method.
Education method: Electronic presentations by PC and projector. Software: OpendTect system installed on workstation.
Competencies to evolve:
T1, T2, T4, T5, T6, T9, T12, K2, K3, K6, K7, K9, A1
The 3-5 most important compulsory, or recommended literature (textbook, book) resources:
William L. Abriel, 2008: Reservoir Geophysics: Applications, SEG Books.
W. Ashcroft, 2011: A Petroleum Geologist's Guide to Seismic Reflection.
M. Bacon, R. Simm, T. Redshaw, 2003: 3-D Seismic Interpretation.
Per Avseth, Tapan Mukerji, Gary Mavko, 2005: Quantitative Seismic Interpretation: Applying Rock Physics Tools to Reduce Interpretation Risk.
Handouts delivered by the Hungarian Oil and Gas Company.
Responsible Instructor(name, position, scientific degree):
László Gombár Dr., engineer teacher
Other Faculty Member(s) Involved in Teaching, if any (name, position, scientific degree):
Tamás Fancsik, associate professor, CSc István Sebe (MOL Group)
Attila Somfai (MOL Group) Péter Zahuczki (MOL Group) Ernő Takács Dr., PhD (MBFSZ)
Course Title: Reservoir and production engineering Credits: 4
Type (lec. / sem. / lab. / consult.) and Number of Contact Hours per Week:lec. 3, sem. 1 Neptun code: MFKOT730023
Assessment and grading:
Students will be assessed with using the following elements: Position in Curriculum (which semester): third
Pre-requisites (if any): Core analysis.
Course Description:
Acquired store of learning:
Study goals: To give a sort overview basic definition, tools, evaluation and calculation methods that widely use in reservoir and production engineering practice. Preparing the reservoir geologist to work in a team with the reservoir and production engineers, during the characterization of hydrocarbon resources. Give a general overview how to design, forecast, and operate the production of hydrocarbon fields.
Course content:
1. Fundamental properties of porous media: Porosity, Compressibility, Specific surface area.
2. Fundamental properties of porous media: Saturation. Wettability and determination of capillary pressure.
3. Fundamental properties of porous media: permeability relative permeability.
4. PVT correlation for natural gases, for saturated and under saturated black oils.
5. PVT correlation for water. Equilibrium calculation of two phase hydrocarbon systems.
6. Viscosity correlations for petroleum reservoir fluids.
7. Inflow performance of oil wells. Basics of single-phase flow: description and pressure drop prediction.
8. Multiphase flow: basic concepts, flow patterns, empirical correlations, mechanistic models, gradient curves.
9. Temperature conditions in hydrocarbon producing wells.
10. Naturally flowing wells.
11. Separators, tanks and pipes.
12. Gas Lifting.
13. Sucker rod pumping.
14. NODAL Analysis.
Education method:Lecture: Power point presentations, animations, handouts. Lab exercises: demonstration measurements, discussions; hands-on calculation exercises, computer modeling (group assignments)
Competencies to evolve:
T1, T2, T5, T6, T7, T9, T12, K3, K4, K6, K8, K9, K10, A2, A5, F1, F2, F4, F5
The 3-5 most important compulsory, or recommended literature (textbook, book) resources:
Towler: Fundamental Principles of Reservoir Engineering, SPE Textbook Series, Vol. 8., 2002, ISBN 1-55563-092-8.
János Török, Lipót Fürcht, Tibor Bódi: PVT Properties of Reservoir Fluids. (Könyv). University of Miskolc Miskolc, Hungary 2012. ISBN 978-963-661-988-5 p. 1-192.
J. Pápay: Development of Petroleum Reservoirs, Akadémiai K., Budapest 2003.
A.P. Szilas: Production and Transport of Oil and Gas. Part A, B., Akadémiai Kiadó, Budapest, 1986.
Takács G.: Fundamentals of Production Engineering. okt. segédlet, Miskolci Egyetem, 2005, 161p.
G. Takács: Gas Lift Manual., PennWell Corporation, Tulsa, USA. 2005. 478p, ISBN 0-87814-805-1.
Responsible Instructor(name, position, scientific degree):
Zoltán Turzó Dr., associate professor, PhD
Course Title: Planning, implementing and managing E&P projects Credits: 2
Type (lec. / sem. / lab. / consult.) and Number of Contact Hours per Week: lec. 1, sem. 1 Neptun code: MFFAT730005
Type of Assessment(exam. / pr. mark. / other): pr. mark Grading limits:
>80%: excellent, 70-80%: good, 60-70%: medium, 50-60%: satisfactory,
<50%: unsatisfactory..
Position in Curriculum (which semester): third Pre-requisites (if any): Core analysis.
Course Description:
Acquired store of learning:
Study goals:During the semester students get global overview about value creation for the stakeholders and its processes of the hydrocarbon exploration and production activity. Students to learn the best practices and standards of the exploration and production projects planning, execution and monitoring.
Get students practice the basis of the modern project management.
Course content: The players of the global oil and gas industry. The hydrocarbon exploration and production value chain. Strategy, developing oil and gas projects. Access and lease exploration and production rights. Planning and controlling upstream projects. Legal framework, PSA, JOA, JV. Fiscal regimes, oil and gas projects economics. Risk management, managing technical, political and partner risks. Product management, sales contracts. Resources and reserves disclosure and reporting.
Education method: Lectures, powerpoint projected slides. Miscrosoft Office programs are used during the practice.
Competencies to evolve:
T1, T2, T3, T5, T6, T10, T11, T12, K1, K2, K3, K4, K6, K7, K8, K9, K11, A2, A3, A4, A7, A8, F1, F2, F3
The 3-5 most important compulsory, or recommended literature (textbook, book) resources:
The Global Oil & Gas Industry; Management, Strategy and Finance Andrew Inkpen / Michael H.
Moffett.
Quick Allen N. (1986): Exploration planning and analysis of exploration risk for the Hungarian National Oil and Gas Trust (course textbook)
Daniel Ph., Keen M., McPherson Ch. (2011): The taxation of petroleum and Minerals: Principles, problems and practice. Routledge
Allen & Overy (2013): Guide to extractive industries documents – Oil & Gas. World Bank
Speed Ph. E. (2000): Mineral and petroleum taxation. University of Dundee Distance learning courses
Responsible Instructor(name, position, scientific degree):
Ferenc Mádai Dr., associate professor, PhD
Other Faculty Member(s) Involved in Teaching, if any (name, position, scientific degree):
Attila Holoda (Aurora Resources Kft.)
Course Title: X-ray diffracion applications for petroleum geology
(Optional courses II.) Credits: 4
Type (lec. / sem. / lab. / consult.) and Number of Contact Hours per Week: lec. 1, sem. 1 Neptun code: MFFAT730008
Type of Assessment(exam. / pr. mark. / other):pr. mark Test with 100 multiple-choice questions.
Grading limits:
>90%: excellent, 76-90%: good, 60-76%: medium, 50-60%: satisfactory, <50%: unsatisfactory.
Position in Curriculum (which semester): third Pre-requisites (if any):Applied petrology Course Description:
Acquired store of learning:
Study goals:This course will give the basic knowledge of XRD techniques used in petroleum geology research to support the planning and interpretations of petrology and petrography results. Meet and learn all the areas of X-ray diffraction which are routinely used and necessary in good quality petroleum geology research. The areas from sampling and specimen preparation to data evaluation and interpretation will be covered.
Course content: 1. Introduction to X-ray diffraction: crystallography review, X-rays and diffraction techniques, powder diffraction 2. Sample and specimen preparation for good diffraction practice, systematic aberrations, errors in obtained data, standards and calibration 3. Relations of crystal structures and XRD results, structure refinement 4. Interpretation of obtained data, mineral identification, proper use of databases, reference materials, integration of mineralogy knowledge into X-ray data evaluation 5. Quantitative evaluation, methods and practices, possibilities and limitations, software solutions 6. Mineral identification and quantification with solid solution species, use of mixtures from reference materials 7. Clay minerals, crystallography and mineralogy, properties, importance in petroleum geology, their investigation by XRD 8. Preparation of clay mineral samples and specimens, limitations, diagnostic chemical treatments 9. Diagnostic clay mineral investigation, detailed identification, data interpretation and integration into XRD mineralogy 10. Quantitative techniques for clay mixtures 11. Other analytical methods for XRD data validation, integration of chemical and petrology results 12.
Preparing and selecting essential data for petrology report, documentation solutions 13. Testing the ability to apply XRD knowledge in petrology research planning.
Education method:Lectures with .ppt presentation, laboratory exercises for sample and specimen preparation, data evaluation, interpretation of results, methods for data validation and documentation.
Competencies to evolve:
T1, T5, T7, T10, T12, K2, K7
The 3-5 most important compulsory, or recommended literature(textbook, book) resources:
Bish D.L. & Post J.E. (eds.) (1981) Modern Powder Diffraction./Reviews in Mineralogy, 20/. Mineralogical Society of America, Washington, D.C.
Woolfson, M.M. (1997) An Introduction to X-ray Crystallography. 2nd ed. Cambridge University Press, Cambridge.
Pecharsky, V.K. & Zavalij, P.Y. (2003) Fundamentals of Powder Diffraction and Structural Characterization of Materials. Kluwer, Dordrecht.
Jenkins, R. & Snyder, R. (eds.) (2002) Introduction to X-ray Powder Diffractometry. Wiley, New York.
Cullity, B.D. (1956) Elements of X-ray Diffraction. Addison-Wesley, Reading, Massachusetts.
Guinier, A. (1952) X-ray Crystallographic Technology. Hilger and Watts, London.
Dinnebier, R.E. & Billinge, S.J.L. (eds.) (2008) Powder Diffraction: Theory and Practice. Royal Society of Chemistry, Cambridge.
Klug H. P. & Alexander L. E. (1974) X-Ray Diffraction Procedures: For Polycrystalline and Amorphous Materials. John Wiley & Sons, Inc., New York.
Responsible Instructor(name, position, scientific degree):
Ferenc Kristály Dr., research engineer, PhD
Course Title: Basic data processing methods for oilfield geophysics and petrophysics
(Petroleum Geoengineering MSc, Optional courses II.)
Credits: 4
Type (lec. / sem. / lab. / consult.) and Number of Contact Hours per Week: lec.1 + sem.1 Neptun code: MFGFT730013
Type of Assessment (exam. / pr. mark. / other): pr. mark
Signature requirements: attendance on minimum 51 percent of the seminars and pass grade on two midterm exams.
Practical mark: the arithmetical mean of the result of two midterm exams if both results were at least satisfactory.
Grading scale:
% value Grade 86 –100% 5 (excellent) 71 – 85% 4 (good) 56 – 70% 3 (satisfactory) 41 – 55% 2 (pass) 0 – 40% 1 (failed)
Position in Curriculum (which semester): third Pre-requisites (if any): no
Course Description:
The course gives mathematical fundamentals of spectral data processing methods and its usage in fields of oilfield geophysics and petrophysics.
Competencies to evolve:
Knowledge: T1, T5, T7, T10, T11, T12.
Ability: K2, K3, K7, K10.
Attitude: A1, A9.
Autonomy and responsibility: F2.
The short curriculum of the subject:
Basis of information theory. Signal theory. Discretization. Errors of disretization. A/D conversion. A/D converters. Spectral transformation (Fourier-transform, Discrete Fourier Transform, Fast Fourier Transform, Z-transform). Spectrum calculation using Z-transformation. Convolution. Discrete convolution. Correlation functions. Discrete correlation functions. Basis of deterministic and stochastic filtering. Image processing.
Education method: Practices using softwares and ppt presentation to learn processing methods.
The compulsory, or recommended literature (textbook, book) resources:
Meskó A, 1984: Digital filtering. Academic Press Inc, Budapest.
Menke, W, 1984: Geophysical Data Analysis: Discrete Inverse Theory. Academic Press Inc.
Candy, J V, 1986: Signal Processing, McGraw-Hill Book Co.
Bath, M, 1974: Spectral Analysis in Geophysics, Elsevier Scientific Publishing Co.
Bracewell, R N, 1978: The Fourier Transform and its Applications, McGraw-Hill Book Co.
Course Managed by (name, position, scientific degree):
Endre Turai Dr., associate professor, CSc, PhD, Dr. habil.
Other Faculty Member(s) Involved in Teaching, if any (name, position, scientific degree):
Géza Wittmann Dr. (MOL Group)
Course Title: Computer-aided well log analysis (Optional Courses) Credits: 4
Type (lec. / sem. / lab. / consult.) and Number of Contact Hours per Week: lec.1 + sem.1 Neptun code: MFGFT73012
Type of Assessment (exam. / pr. mark. / other):pr. mark
Conditions for obtaining the signature: the presence in at least 70 % of the lessons and the successful solutions of two problems in the classroom by using a computer and the necessary software.
The determination of the practical mark is based on the evaluations of two problem solutions. The weights of the partial achievements are the same: 50% + 50%.
Grading scale (% value grade): 0 – 49 % 1 (fail), 50 – 64 % 2 (pass), 65 – 79 % 3 (satisfactory), 80 – 89 % 4 (good), 90 – 100 % 5 (excellent).
Position in Curriculum (which semester): third
Pre-requisites (if any): Petrophysics - Well log interpretation (MFGFT720017)
Course Description:
Acquired store of learning:
Study goals:Introduction to the computer-aided management, visualization, processing and analysis of data coming from well logging operations applied in hydrocarbon exploration.
Course content:Essential characteristics of the file formats and data structures applied in well logging.
The user interface of MATLAB environment. Data import from ASCII coded files, visualization of data sets, simple operations used in data processing and analysis by means of MATLAB.
Basics of the Techlog user interface. Creating and managing projects in Techlog. Data import and quality control. Management of the variables.
Computation of True Vertical Depth (TVD).
Interactive display of data in tables, charts, cross-plots and log views. Application of interactive selection mode.Creation, management and use of zones and markers. Depth shifting and splicing of log curves.
Introduction to the workflow of deterministic well log evaluation in Techlog (the Application Workflow Interface).
Quick Look Log Analysis. Conventional Log Analysis.
The Python module of theTechlog environment. Python basics.
Competencies to evolve:
T1, T5, T10, K1, K2, K7, K10, A1, A5, A8, A9, F3, F4, F5.
The 3-5 most important compulsory, or recommended literature (textbook, book) resources:
Andrew Knight, 2000: Basics of MATLAB and Beyond, CHAPMAN & HALL/CRC Boca Raton London New York Washington, D.C.
Martin H. Trauth, 2006 : MATLAB® Recipes for Earth Sciences, © Springer-Verlag Berlin Heidelberg, Printed in The Netherlands
Hans Petter Langtangen 2004: Python Scripting for Computational Science Third Edition, Springer-Verlag Berlin Heidelberg
Toby Darling, 2005: Well Logging and Formation Evaluation, Gulf Professional Publishing is an imprint of Elsevier 30 Corporate Drive, Suite 400, Burlington, MA 01803, USA Linacre House, Jordan Hill, Oxford OX2 8DP, UK
Responsible Instructor(name, position, scientific degree):
Péter Tamás Vass Dr., associate professor, PhD.
Course Title: Project work Credits: 8
Type (lec. / sem. / lab. / consult.) and Number of Contact Hours per Week:sem. 8 Neptun code: MFFAT730006
Type of Assessment (exam. / pr. mark. / other):pr. mark Grading limits:
>80%: excellent,
>80%: excellent,