The interpreted facies associations and environments from the FMI microimager data are mostly shallow marine carbonate and shelf shales in the lower part of the interpreted interval, whereas the upper part includes more clastic contributions, mostly as crossbedded sandstones in subtidal channels and flaser-bedded tidal flat sandstones. All crossbedding was identified within the subtidal channel depositional environment. All sandstones have mud clasts and finer materials that could have a negative impact on reservoir production.
Correlation of the interpretation of the high-resolution FMI microimager data for each well led to the conclusion that the depositional regime controls the lateral facies variation with only very low structural impact.
Sedimentological investigation recognized subtidal channels in the upper zone of the interpreted interval at Wells X-2 and X-3, but the only subtidal channel in Well X-1 is in the lower zone. The thickness and discontinuity indicate the presence of multiple subtidal channels. The subtidal channels have high sinuosity, as indicated by a crossbedding paleocurrent analysis, and are located in tidal flat and shallow marine shales and carbonates.
In recognition that data at multiple scales can pose integration challenges, Schlumberger and Burapetco worked together to apply a quick and straightforward object-based approach for data integration. Object-based statistical methods applied in the Petrel E&P software platform are well-suited stochastic procedures for generating channel models for the subtidal channels interpreted from the FMI microimager data. An object model is defined first for reproducing given channel shapes and then a distribution process is implemented for generating several channel objects that account for the available data.
The detailed analysis and interpretation of the FMI microimager data are highly useful for stochastic modeling because the identified channel bodies provide an initial indication of the tidal body shapes that the object-based process has to reproduce. Incorporating the interpreted channel parts in the simulation also guides simulation of the nonvisible parts of the channels.
The direct distribution process aims at simulating channels that directly fit the well data. Three intermediate steps are required before simulating the channel body. Each stochastic data-processing step corresponds to a stage of the geological analysis of the reservoir data.
The first step generates up to several sets of three channel cross sections in intervals where the channel facies have been interpreted. The created sections satisfy input parameters for their size (i.e., width and thickness), direction, and stacking, which is the vertical and horizontal overlap ratio.