Dynamic Reservoir Characterization

Dynamic Reservoir Characterization™ is the workflow employed by Object Reservoir for efficiently building reservoir models. The basis for DRC is a 4-phase approach for model building. The principle behind OR’s DRC is to start as simply as possible, then to only add complexity where it is needed to accurately reflect reservoir and well behavior.  DRC models the established reservoir mechanisms using an evolutionary approach to data gathering and analysis. The data analysis establishes a baseline from available static and dynamic data. DRC is then enabled by Resolve’s™ ability to quickly and accurately assess multiple scenarios based on this available data to more rapidly identify the factors genuinely contributing to reservoir and well performance. The result is a predictive engineering proxy of the reservoir that can replicate the entire recorded production history.

Phase I: Data Gathering and Analysis

The goal of the data gathering and analysis phase is to have a common understanding of the key geological, production, and business issues. All available data undergoes a Q/A to establish its pedigree and reliability. The end result of this phase is a complete set of data required for modeling.

Phase II: Modeling

After the initial reservoir model is built in Resolve, scoping models are then studied to determine the key reservoir parameters that influence the recorded history of the well. The variables that are “matchable” vs. those unlikely to have any significance based on data quality are identified, and a plan for history-matching is developed. All viable scenarios are pursued to achieve the history match. At the end of this phase, a full client side review is performed to discuss the modeling results.

Phase III: Forecast Scenarios

Based on specific business needs, forecast scenarios are determined. The forecast scenarios are accomplished by varying flow rates, tubing, or surface equipment constraints on history-matched wells. All the results of the forecast are presented in monthly format for use in economic evaluation.

Phase IV: Post Modeling & Surveillance

Object Reservoir believes the key use of reservoir models should not be simply for history-matching or future performance estimation. Reservoir modeling should include periodic surveillance of models to understand onset of any reservoir, completion, or surface production conditions that could not have been envisioned such as fracture closure, increasing skin, completion collapse, changing line pressure conditions, etc. Periodic surveillance allows the Asset Team to be proactive in understanding potential problems and determining benefits of alternative solutions.