There is no charge. Non-members of the CSPG are also welcome. Please bring your lunch. For details or to present a talk in the future, please contact Weishan Ren via email at

Geomodeling Committee

Weishan Ren | Chairperson         Tom Cox                      Hayley Silberg             Eric Niven 
David Garner | Co-chair              Sonia Brar                   Sasan Ghanbari           Darcy Novak

Olena Babak                              Damien Thenin            Seyi Fatoke      

Upcoming Division Talks

Improved Facies Modeling with Integration of 4D Seismic

Speaker: Mostafa Hadavand, Centre for Computational Geostatistics, University of Alberta
Co-author: Clayton V. Deutsch, Centre for Computational Geostatistics, University of Alberta

Wednesday, May 31, 2017 | 12:00 Noon 
Husky Conference Room A, 3rd Floor, +30 level, South Tower, 707 8th Ave SW, Calgary, Alberta

One objective in petroleum reservoir modeling is to predict the future performance of the reservoir under different recovery methods or production strategies. Facies modeling is of great significance for resource estimation and strongly affects reservoir flow responses. Facies often define the stationary domains for modeling of petrophysical properties. Large-scale flow patterns are mainly controlled by the spatial distribution of facies because the variations of permeability between facies are more dominant compared to those within facies. Time lapse/4D seismic provides important dynamic data for heavy oil reservoir monitoring and management. However, 4D seismic images can be noisy, hard to interpret and confounded by production history. This is the main reason that in practice, qualitative assessment of 4D seismic data based on professional judgment is preferred over mathematical methods such as inverse modeling. 

4D seismic data used for reservoir monitoring.

A practical methodology is proposed to integrate 4D seismic into geostatistical facies modeling. 4D seismic data contains valuable information about fluid movement, pressure build up and large-scale patterns of fluid flow within the reservoir during recovery. Such information may be best described by anomalies in fluid flow that can be inferred from the unusual patterns in variations of a seismic attribute. The proposed methodology is based on geostatistical enforcement of anomalies identified by visual inspection of 4D seismic images. This applies more constraint on the model of geological uncertainty represented by multiple geostatistical realizations of the reservoir. Modifying the facies realizations to enforce the information obtained from 4D seismic results in an improved model that honors the observed large-large scale flow patterns. 

4D seismic driven steam chamber, anomaly identification and geostatistical Enforcement.

The proposed methodology is designed to respect the geological framework, input statistical parameters inferred from well data and conceptual models. This methodology benefits from human judgement to identify anomalies in fluid flow with high confidence. The initial facies realizations may be evaluated to assess the fidelity of anomalies and identify the missing ones in each realization. The fidelity analysis and subsequent geostatistical enforcement is automated. This methodology is a pre-/post-processing tool that can be implemented to improve different facies modeling techniques.  The concept behind the proposed methodology and details of its implementation in practice are presented in this talk.

Geostatistical anomaly enforcement improves facies modeling and the fidelity.

Mostafa Hadavand is a PhD candidate and a research assistant at the Centre for Computational Geostatistics (CCG), University of Alberta. He joined CCG in January 2014 and is about to finish his PhD. His research interests include geological uncertainty quantification and management, reservoir characterization, data assimilation, SAGD proxy modeling and multivariate data analysis. His background is in mechanical engineering and he holds a master degree in mechanical engineering from Sharif University of Technology, Tehran, Iran.

Division Profile
The mandate of the Geomodeling Division is to provide CSPG members with opportunities for education and information related to technical developments in the subject areas of geomathematics and computer technologies as they are used in the pursuit of petroleum exploration and development. As a main contribution of the division, technical luncheon presentations are held once a month, usually on the last Wednesday of the month. 

The subjects that are presented in these technical talks include, for example, The latest developments in geomathematical applications, Geological modeling technology, Geostatistical approaches to modeling and risk analysis, Geological case studies using computer technology and the benefits, Digital data organization - storage and retrieval. In addition, ad hoc forums may be organized where members can discuss geomathematical and geological computer issues with experts in the field.The Geomodeling Division does not endorse or promote the use of specific commercial software products, nor does it perform any testing or comparative studies of such products.We do encourage volunteers to present public talks on case histories that illustrate the use of technology and methods.

The success of the Division depends on volunteer participation. CSPG members are encouraged to attend the activities of the Geomodeling Division and to be involved in organizing these activities. Division meetings are held once a month over lunch. If you are interested in joining this committee or if you have suggestions for luncheon talks or other activities, please contact any members of the committee.

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