--> Abstract: Integrated Reservoir Modeling: Rapid, Repeatable Model Updates for 4-D Reservoir Surveillance, by Paula L. Wigley, Serge Galley, Andrew Evans, Roelof Pieterson, and Jim O'Connell; #90124 (2011)
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AAPG ANNUAL CONFERENCE AND EXHIBITION
Making the Next Giant Leap in Geosciences
April 10-13, 2011, Houston, Texas, USA

Integrated Reservoir Modeling: Rapid, Repeatable Previous HitModelNext Hit Updates for 4-D Reservoir Surveillance

Paula L. Wigley1; Serge Galley1; Andrew Evans1; Roelof Pieterson1; Jim O'Connell1

(1) Shell International Exploration & Production, Houston, TX.

As use of 4D seismic as a surveillance tool increases, integrated reservoir models which can be easily updated to reflect 4D observations become more important. In order to build a Previous HitmodelNext Hit which matches initial reservoir conditions and is tied to seismic it is essential to integrate all available geophysical, geological, petrophysical and engineering data.

To facilitate Previous HitmodelNext Hit updates, the reservoir models are built using workflows which remove interpreter subjectivity, ensure repeatability and reduce the cycle time between the seismic, the static Previous HitmodelNext Hit and the dynamic Previous HitmodelNext Hit. A Gulf of Mexico field is featured.

The starting point for each reservoir Previous HitmodelNext Hit is the pre-production seismic survey in depth domain with geobody extraction Previous HitusedNext Hit for rapid delineation of flow unit distributions across the reservoir. By utilizing the seismic volume directly in the static modeling workflow a close tie between the Previous HitmodelNext Hit and seismic is maintained.

Upscaled well-log data together with 2D simulations determine the most appropriate layering scheme and result in a Previous HitmodelNext Hit built at the level of complexity required to address 4D results.

Rock types to be modeled are defined using measured permeability data linked with facies identified from core. The cored wells and associated rock typing are Previous HitusedNext Hit to develop a neural network which automates facies identification in non-cored wells. This crucial step removes interpreter subjectivity and ensures repeatability of the Previous HitmodelNext Hit build.

Seismic attributes are cross-plotted against well data to ascertain the property, or properties, which can best be constrained by the seismic. This step, allows an improved definition of properties throughout the entire Previous HitmodelNext Hit volume rather than relying on well data alone. Additionally, the full 3D seismic volume is Previous HitusedNext Hit rather than relying on average maps to guide property distribution.

Building the static Previous HitmodelNext Hit at simulation scale reduces the overall timeline, ensures compatibility of results and facilitates both static and dynamic Previous HitmodelNext Hit updates. The close ties between the seismic, static Previous HitmodelNext Hit and dynamic Previous HitmodelNext Hit usually result in a good history match without recourse to volume multipliers.

This integrated approach to reservoir modeling, together with the use of workflows maximizes integration of static, dynamic and seismic data; enables rapid Previous HitmodelNext Hit updates; removes interpreter subjectivity; ensures repeatability and reduces the iteration times from seismic to static Previous HitmodelTop and subsequent simulation.