Course ObjectiveTo understand
- The main principles of Petrophysics relevant for Geologists, including
the acquisition and use of petrophysical data, the analysis and how
results are used in static (geological) and dynamic subsurface models.
- The main principles and use of Reservoir Engineering data, and the
role of Reservoir Engineering in order to arrive at economically
meaningful reservoir fluid models constrained by realistic geological
- The most important terms and some of the basic formulae used by
Petrophysicists and Reservoir Engineers.
- When to contact a Petrophysical and Reservoir Engineering expert.
Course ContentThis Course is part of the stream "Subsurface Resourcing" in the Geology
and Geochemistry specialization. This stream contains a series of
elective courses that prepares for activities in the subsurface
(geothermal, CO2 sequestration, hydrocarbon exploration and production).
Many examples of successful techniques, originally
developed for the oil and gas industry, need also to be applied
elsewhere in order to achieve safe and accurate operations.
Petrophysics involves assessing rock and fluid properties and their
uncertainties from a collection of measurements done on core and log
data, acquired in new and existing boreholes. Techniques have been
developed mainly to optimise the development of hydrocarbon assets but
may also be applied elsewhere, to determine properties of water bearing
formations e.g. in the search for water or mining.
The Reservoir Engineering discipline aims to determine the (dynamic)
flow characteristics of a fluid reservoir; measurements usually consist
of observations of the pressures and production
volumes from a well or a series of Wells often as a function of time.
Reservoir Engineers usually control how fluids are produced from a
reservoir. They also contribute to the calculation of required
production facilities. In the Petroleum Industry, Reservoir Engineering
is responsible for (and spends most time on) the identification and
quantification of economically producible oil and gas volumes
and the determination of the reserve.
A reservoir model used by Reservoir Engineering is usually based on a
geological model of the subsurface. Geologists need a good understanding
what geological information is important to the Reservoir Engineer. In
later phases of the lifetime of a producing reservoir, the reservoir may
exhibit deviation from the expected fluid flow behaviour, as a result of
detailed geological complexities. This is another moment when the
cooperation between geologist and Reservoir Engineer is essential in
order to obtain an improved combined geological and fluid flow model.
Teaching MethodsA four-week course “Petrophysics and Reservoir Engineering for
Geologists” in the afternoons. The exact timing of the course will be
such that it interferes least with other courses. The course consists of
a series of lectures by guest
lecturers plus a hands-on Exercise which
is done by teams of 2 students on a PC, under supervision.
Method of AssessmentStudents will sit a written Examination (theory) for Petrophysics and
Reservoir Engineering. In addition, students will need
to deliver a Presentation on the Exercise.
Entry RequirementsBachelor degree. One of the following: Introduction to Geology;
Environmental Science; System Earth; Energy; Climate and Sustainability;
or Permission of the Coordinator.
LiteratureHandouts via Canvas. Reports and Literature, to be distributed.
Target AudienceThose students that are interested in evaluation of the subsurface e.g.
in geothermal energy, CO2 Sequestration or in the oil/gas industry. The
course targets mainly Geology and Geochemistry students, but may also be
useful to those interested in environmental topics.
Additional InformationAfter the course, the student will
- Have an understanding of petrophysical data acquisition methods and
measurement types including the underlying physics.
- Be able to assess basic quality of data and recognise inconsistencies,
more generally, when to call in a petrophysical expert.
- Have seen examples of the effects of normal and thrust faults on logs.
- Be able to recognize lithology from log data.
- Be able to perform a basic evaluation of reservoir properties like
porosity, permeability and fluid saturation from a combination of core,
log and drilling data.
- Be able to assemble a simple petrophysical data acquisition request
for typical carbonate and siliciclastic environments.
- Have an understanding of capillarity, water saturation profiles and
models and free water levels, and the role in subsurface modelling.
- Have an understanding of how petrophysical results are used in static
models, and what common pitfalls are, in particular in the upscaling
from log scale to model cell scale.
- Know the basics of generating synthetic seismograms.
- Know the the principal tasks of a Reservoir Engineer
- Know the basic building blocks for dynamic modelling of fluid flow in
- Understand Reservoir Engineering terms, concepts and basic formulae -
Be aware of fluid Recovery Mechanisms and Recovery Factor
- Be aware of basics of Hydrocarbon Reserves Management
- Be aware of Production analysis, prediction and optimisation
- Have seen some (semi-) analytical Reservoir Engineering methods
- Have seen examples of Dynamic (3D) reservoir simulation/modelling
- Have an understanding of the most important uncertainties in
Petrophysical and Reservoir Engineering data and modelling, in the
methods and in the results.
Explanation CanvasThe (Long) name of this course is "Subsurface Engineering for Geologists
/ Petrophysics and Reservoir Engineering for Geologists"
Recommended background knowledgeBesides knowledge on geology, this course will use the knowledge on
(arithmetics and) mathematics as received during the bachelor education.
|Language of Tuition||English|
|Faculty||Faculty of Science|
|Course Coordinator||prof. dr. W. van Westrenen|
|Examiner||prof. dr. W. van Westrenen|
dr. P.J.F. Verbeek
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Seminar, Lecture, Computer lab|
This course is also available as: