Denise N. Pfeffer¹, G. Michael Grammer¹, Dennis R. Prezbindowski¹
(1) Texaco Upstream Technology, Houston, TX

Abstract: Integrating Sequence Stratigraphy and 3-D Geostatistical Modeling Techniques for Enhanced Reservoir Prediction and Management

Integrated reservoir characterization requires a methodology that combines subsurface data (core, cuttings, wireline logs, petrophysical and seismic data) with detailed data from modern and ancient analogs, and then incorporates this information into a sequence stratigraphic framework. The challenge is to integrate these data into a static 3-D numerical reservoir model, which can be used by reservoir engineers to predict reservoir performance and to serve as an efficient production management tool. Three dimensional geostatistical modeling provides a mathematically robust method for integrating various subsurface data, but is often hindered by a lack of direct subsurface measurements. The integration of analog data, sequence stratigraphy, and geostatistical modeling techniques provides a methodology that incorporates the strengths of these techniques and results in the development of more accurate static reservoir models.

Quantitative data obtained from analogs on both directional and scalar attributes of carbonate reservoirs can be directly incorporated into 3-D geostatistical models to help constrain various modeling parameters (e.g. grid framework, variograms, directionality). Modern depositional systems provide us not only with basic 3-D facies-distribution concepts, but also information on reservoir distribution and susceptibility to early diagenetic modification (e.g. porosity occlusion, preservation, or formation). Outcrop studies provide valuable data on the spatial distribution and variability of reservoir facies, fluid flow barriers and baffles. The incorporation of qualitative and quantitative analog data can reduce the uncertainty associated with the development of a static reservoir model, improve fluid production history matching by the engineers and provide the basis for an efficient reservoir management tool.

AAPG Search and Discovery Article #90914©2000 AAPG Annual Convention, New Orleans, Louisiana