IMS - Toulouse, France

33rd IAS & 16th ASF Joint Meeting

PDS Group team members, Dr. Remco Groenenberg and Dr. Sarah Cobain will be attending the joint IAS (International Sedimentological Association) and ASF (Association des Sédimentologistes Français) International Meeting of Sedimentology 2017. Remco will be presenting the result from a PDS Group-Ephesia Consult (Ephesia) collaborative project during “Outcrop analogues: modern study techniques, application in subsurface geology and knowledge transfer (SR4)” session
Remco Groenenberg1, Paul Stroosma1, and Philippe Pluyaud2
1Petrotechnical Data Systems (PDS) – Lange Kleiweg 10 2288 GK, Rijswijk, Netherlands
2Ephesia Consult (Ephesia) – Ephesia – 7 rue Michel Royer 45100 Orleans, France


Facies modeling of fluvial deposits is notoriously challenging for geomodellers. Fluvial deposits are characterized by their highly variable, and therefore unpredictable, lateral and vertical facies distributions, which make it difficult to generate realizations that honor the trends in data (wells, seismic) while also adhering to common geological rules. A variety of (stochastic) facies modeling algorithms are currently being used in the industry, however, individual algorithms all have their difficulties in accurately capturing fluvial complexities. These complexities are a first order control on reservoir heterogeneity impacting both permeability and porosity, and any derived volume and performance estimates bases on such models. Here, we present a novel hybrid, hierarchical approach that combines object-based facies modeling with a plurigaussian algorithm, with input parameters extracted from an advanced hierarchical fluvial analogue database called ”FAKTS”. The Fluvial Architectural Knowledge Transfer System (FAKTS) database stores literature and field-derived data on fluvial sedimentary units from more than hundred field analogues in a hierarchical and relational manner. It characterizes fluvial elements at three different scales of observation and classifies them according to controlling factors and context-descriptive characteristics. In our hybrid approach, raw data from the database are transformed into quantitative parameter input that can be directly used to populate the settings of objectbased and pixel-based plurigaussian facies modeling algorithms in commercially available reservoir modeling software. In the first step, an object-based facies modeling algorithm is used to populate the reservoir with sedimentary units (channels, point bars, splays), whereby the geometry and dimensions are constrained using analogue-derived data. In the second step, a pixel-based plurigaussian algorithm is used to model the internal heterogeneity of the sedimentary units. The Plurigaussian algorithm requires indicator variograms and a truncation diagram to be defined. Indicator variograms are constructed from the facies dimensions, proportions, and transitions stored in the analogue database. Similarly, the truncation diagram is constructed from the analogue-derived facies transition statistics to ensure that the contact relationships (lithotype rules) between fluvial sedimentary units are honored. This novel hybrid approach allows smaller-scale heterogeneities (architectural element-scale) to be modeled with a plurigaussian algorithm within object-modeled larger-scale depositional elements to more accurately represent fluvial reservoir heterogeneity. As a result, key variables affecting economics, such as connected reservoir volume and flow performance, are better constrained and therefore potentially more useful. A case study of a ‘braided’ fluvial reservoir succession, offshore NW Australia, penetrated by 5 wells, is used to demonstrate this novel approach.

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About the presenter:

RemcoDr. Remco Groenenberg has over 20 years of experience as a research geoscientist and software developer working in the energy sector. With a background in reservoir geology, geothermal, CO2 sequestration, salt mining, and cavern storage, he has been an integral part of helping companies bridge the gap between research and commercial technology. Dr. Groenenberg joined PDS Group in 2015 as Principal Geoscientist after a successful career in geoscience R&D and business development roles respectively at the Geotechnology dept. of Delft University of Technology, where he obtained his PhD degree, and AkzoNobel’s salt mining and underground storage department. After graduating with an MSc in Earth Science from Utrecht University he worked in software project management and development roles at JOA Software (now part of Baker Hughes) and Logica BV (now part of CGI). Dr. Groenenberg has published several articles in peer-reviewed journals dating back to 2011 demonstrating the results of applied science in his respective areas of expertise.