Seismic Reservoir Characterization: An Earth Modeling Perspective
|Dr Philippe Doyen (Independent Consultant, London, United Kingdom)|
|1 or 2 days|
|Geophysics – Reservoir Characterization|
|The EET 2 book is available in the EAGE Bookshop|
|5 or 10 CPD points|
CARBONATES GEOSTATISTICS INTEGRATION INTERPOLATION INTERPRETATION INVERSION LITHOLOGY ROCK PHYSICS SEDIMENT
Next available locations:
Three-dimensional numerical earth models play an increasingly important role in the petroleum industry to improve reservoir management and optimize hydrocarbon recovery. A key challenge for reservoir geoscientists is the quantitative integration of 3D and 4D seismic data into static and dynamic earth modeling workflows. Using a combination of theory and illustrations from real field studies, this two-day course reviews best practices and challenges for constraining earth models with seismic information and quantifying subsurface uncertainty.
The course objectives of the course are to:
- Provide a practical introduction to techniques and workflows combining geostatistics and rock physics for the construction of seismic-constrained earth models;
- Explain how to integrate quantitatively seismic and well data in earth modelling workflows and evaluate the associated geo-model uncertainty;
- Describe the assumptions and technical limitations of current seismic-based geo-modeling techniques, thus helping reduce the black-box application of software tools;
- Highlight the technical challenges and the road ahead for quantitative seismic interpretation.
The two-days course is divided into 7 modules, which provide an overview of basic concepts and their application to a number of case study examples involving both clastic, carbonate and unconventional reservoirs.
- Module 1 — Introduction to geostatistics and earth modelling from seismic data.
- Module 2 — Geostatistical interpolation techniques for seismic-guided 3-D earth models.
- Module 3 — Stochastic simulation with seismic constraints.
- Module 4 — Seismic lithology and fluid prediction using statistical techniques.
- Module 5 — Stochastic inversion.
- Module 6 — Statistical rock physics.
- Module 7 — Simulator-to-Seismic workflow using 4-D earth models.
The course is aimed at geoscientists and engineers who are involved in the construction of earth models and who wish to learn about practical techniques for seismic data integration, combined use of seismic rock physics and geostatistics, uncertainty modeling and quantitative 4D interpretation. The course comes at a time when seismic-based earth modeling has become a key activity for integrated asset teams in the E&P industry. It should therefore be of interest to a broad audience, including technical specialists and managers, who are actively involved or supervise seismic-to-simulator activities. Basic knowledge of seismic inversion techniques and geostatistics is desirable.
Basic knowledge of seismic inversion techniques ad geostatistics is desirable
About the instructor
Philippe Doyen, formerly VP R&D for the GeoConsulting business line of CGG, is now working as an independent consultant with worldwide responsibility for technology development in reservoir characterization. Prior to joining CGG in 2003, Philippe was Research Director for Schlumberger Information Solutions (SIS). He has also worked for more than 10 years with Western Geophysical / Western Atlas where he was R&D manager for reservoir geophysics.
Philippe holds MS and PhD degrees in geophysics from Stanford University. He also holds a Mining Engineering degree (1st class) from the University of Louvain, Belgium. Philippe has been an Adjunct Professor at the University of Bergen, Norway, from 2006 to 2012. He was also part-time Geophysics Professor in the Mining Engineering department of the University of Louvain from 1989 to 1992.
Philippe has over 25 years R&D, consulting and teaching experience in seismic reservoir characterization, geostatistics, geological modelling and rock physics. He has developed several patented methods for multi data integration and uncertainty quantification in reservoir modelling.
'Philippe Doyen was very knowledgeable. The topic of seismic reservoir characterization was relatively new to me. The clear presentation of the instructor really helps to master the subject’.
— Geoscientist from Shell
Explore other courses under this discipline:
Instructor: Dr Leo Eisner (Seismik)
The goal of this class is to explain principles of microseismic monitoring ranging from single monitoring borehole to surface and near surface networks. This class focuses on understanding the measurements made in passive seismic, their use and their uncertainties. Attendees should be able to decide on the best type of microseismic monitoring, design it, and know what kind of processing is needed to achieve their goals. They will also understand the uncertainties in the microseismicity. They will be able to avoid interpretation of uncertain observations. No requirement on prior class is needed, although knowledge of hydraulic fracturing and seismology helps. The course will also discuss the latest developments in microseismicity from source mechanisms, through tomography and anisotropy to reservoir simulations, including pore pressure analysis. The course discusses also social and scientific aspects of (induced) seismicity related to oil and gas reservoir.
Instructor: Dr Enru Liu (ExxonMobil)
The ability to identify fracture clusters and corridors and their prevalent directions within many carbonates and unconventional resources (shale gas, tight gas and tight oil reservoirs) can have a significant impact on field development planning as well as on the placement of individual wells. The characterization of natural fractures is difficult and cannot be achieved by any single discipline or single measurement. Geophysics can identify spatial distributions of fractures and fracture corridors between wells and seismically-derived fracture information to complement (not compete with) other measurements, such as outcrops, core, FMI, cross-dipole and other fracture information. This course is an introduction to the fundamental concepts of seismic fracture characterization by introducing seismic anisotropy, equivalent-medium representation theories of fractured rock and methodologies for extracting fracture parameters from seismic data. With a focus on practical applications, three case studies are presented to demonstrate the applicability, workflow and limitations of this technology: a physical laboratory 3D experiment where fracture distributions are known, a Middle East fractured carbonate reservoir and a fractured tight gas reservoir.
Instructor: Mr Olav Inge Barkved (Petoro)
Time-lapse seismic surveys or 4D seismic provide snapshots of a producing hydrocarbon reservoir and its surroundings. The benefit of the technology in monitoring fluid and pressure changes and to point out bypassed oil or un-drained compartments has been well documented over the last 10–15 years. Still the technology is undergoing rapid development. This course will provide some context on what is driving the dynamic changes linked to producing a hydrocarbon reservoir and what we should expect to observe using seismic technologies in a varied geological setting. It will address key issues that impact the feasibility of time-lapse seismic and evaluate established methods. However, the focus will be on ‘new’ technologies, use of a permanent array, frequent seismic surveying and integration of the data. Examples from the Valhall field will be used extensively to illustrate the potential of seismic data and to articulate issues related to interpretation and integration. This will include data examples from marine towed 4D, frequent surveying using permanently installed sensors, in-well recordings and analysis of passive data, including micro seismicity. Use of seismic surveillance information to support reservoir management, new well delivery and base management will be a central part of the presentation.
Instructor: Prof. Martin Landrø (Norwegian University of Science & Technology)
The course discusses various methods for monitoring subsurface injection of CO2. Specifically, the following topics will be covered:
- Rock physics related to injection of CO2 into porous rock
- Time-lapse seismic methods
- Gravity and electromagnetic methods
- Saturation and pressure effects
- Early detection of leakage
- Mapping overburden geology and identification of potential weakness zones
- Field examples
- Well integrity issues
- Using gas leakage as a proxy to study potential leakage of CO2
- Laboratory experiments of CO2 flooding including acoustic measurements
Instructor: Prof. Serge Shapiro (Freie Universitaet Berlin)
Stimulations of rocks by fluid injections (e.g., hydraulic fracturing) belong to a standard reservoir-development practice. Productions of shale oil, - shale gas, - heavy oil, - geothermal energy require broad applications of this technology. The fact that fluid injection causes seismicity (including microseismicity and, sometimes, significant induced earthquakes) has been well-established for several decades. Waste water injection into rocks, large-scale water reservoir constructions and underground carbon sequestrations are other examples of potentially seismogenic fluid impact on geologic structures. Understanding and monitoring of fluid-induced seismicity is necessary for hydraulic characterization of reservoirs, for assessments of reservoir stimulation results and for controlling seismic risk of fluid injections and production. The course provides systematic quantitative rock-physical and geomechanical fundamentals of all these aspects of the fluid-induced seismicity.
Instructor: Dr Dario Grana (University of Wyoming)
Integrated reservoir modeling workflows provide a set of techniques to create three-dimensional numerical earth models in terms of elastic, petrophysical and dynamic properties of the rocks at different time steps during exploration and production. The course focuses on the quantification of uncertainty in the data, in the physical models and in the predictions in reservoir modeling workflows. Topics include uncertainty quantification in seismic reservoir modeling, geostatistical reservoir simulations, fluid flow modeling, and reservoir monitoring. The link between uncertainty quantification and decision-making will be introduced through decision-making theory. The course will include demonstrations of the methodologies on real case applications.