Geophysics - Reservoir Characterization

Seismic Reservoir Characterization: An Earth Modeling Perspective

 

Instructor

  Dr Philippe Doyen (Independent Consultant, London, United Kingdom)

Duration

  1 or 2 days

Disciplines

  Geophysics – Reservoir Characterization

Level

  Intermediate

Language

  English

Course book

  The EET 2 book is available in the EAGE Bookshop

EurGeol

  5 or 10 CPD points

Keywords

 
 CARBONATES   GEOSTATISTICS   INTEGRATION   INTERPOLATION   INTERPRETATION   INVERSION   LITHOLOGY   ROCK PHYSICS   SEDIMENT 

 

A 1-day version of this course is also offered as EET 2

Next available locations:

 

Course description

The EET 2 book by Dr Philippe Doyen

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.

 

Course objectives

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.

 

Course outline

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.

 

Participants' profile

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.

 

Prerequisites

Basic knowledge of seismic inversion techniques ad geostatistics is desirable

 

About the instructor

Dr Philippe Doyen

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.

 

Participants' feedback

Testimonials

'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

 

                    Learning Geoscience Logo

 

Explore other courses under this discipline:

 

3D Seismic Attributes for Prospect Identification and Reservoir Characterization

Instructor: Dr Kurt Marfurt (University of Oklahoma)

Seismic data are incredibly rich in information, including amplitude, frequency, and the configuration or morphology of reflection events. Seismic attributes, including volumetric estimates of coherence, dip/azimuth, curvature, amplitude texture, and spectral decomposition, can greatly accelerate the interpretation of newly acquired 3D surveys as well as provide new insight into old 3D surveys.

More information

Microseismic Monitoring in Oil and Gas Reservoirs

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.

More information

Seismic Fracture Characterization: Concepts and Practical Applications

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.

More information

Seismic Reservoir Characterisation

Instructor: Dr Sagar Ronghe (DownUnder GeoSolutions)

The course discusses reservoir characterisation through the integration of wireline and seismic data as applicable to all stages of oil and gas field activity: from reconnaissance, through exploration and appraisal, to focused reservoir characterisation during field development. Techniques presented include amplitude and AVA interpretations, stack rotations, deterministic and stochastic inversion, probabilistic interpretations of lithology and fluid distributions, and quantification of reservoir properties including prediction uncertainty. The importance of petrophysics and rock physics calibration as a foundation to all of these methods is highlighted. The course also discusses the calibration of seismic velocities to well data for accurate time-to-depth conversion.

More information

Seismic Surveillance for Reservoir Delivery

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.

More information

AVO in an Inversion World

Instructor: Dr Anthony Fogg (Arun Geoscience)

AVO (Amplitude Versus Offset) analysis has been a key technology for derisking drill targets as it can potentially distinguish different fluids and lithotypes. Over time the application of the AVO technique has evolved and merged with seismic inversion methods so that today the traditional AVO analysis techniques have been superseded by the analysis of rock property volumes on the interpreter's work station. However, in order to derive these rock properties we still rely on the fundamental principles of AVO. This course covers the basics of AVO theory and how it is used to create attributes or inversion volumes from seismic reflection data that reveal the rock and fluid characteristics of the sub-surface. The course is not mathematical, but does review some simple equations that help the student understand how AVO is applied to create quantitative measurements from surface seismic data and interpret those results in terms of rock physics - often referred to as Quantitative Interpretation (QI).

More information

Geophysical Monitoring of CO2 Storage

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

 

More information

Rock Physics, Geomechanics and Hazard of Fluid-Induced Seismicity

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.

More information

Reservoir Model Design: How to Build Good Reservoir Models

Instructors: Dr Mark Bentley (AGR TRACS International) and Prof. Philip Ringrose (Statoil)

This short course will provide an introduction to reservoir model design, covering the following main design elements:

  • Model purpose;
  • The rock model;
  • The property model;
  • Model scaling;
  • Handling uncertainty.

 

More information

Seismic Reservoir Characterization: An Earth Modelling Perspective

Instructor: Dr Philippe Doyen (Independent Consultant)

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.

More information

Uncertainty Quantification and Management

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.

More information

--