Third Party Tools for the Sensor Reservoir Simulator

Third Party Tools

Any structured geological model/gridding program may be used with Sensor. Inclusion of geo/grid model output in the Sensor data file is very simple. It requires specification of the grid dimensions using the GRID card, and replacing any geo/grid model array labels with those accepted by Sensor. Any unit conversions that might be needed can be made with simple array modifications in the Sensor data. For faulted or corner point grid representations, the geo/grid model should provide cell pore volumes, depths, and transmissibilities. Any unstructured geo/grid model can also be used with Sensor if it can provide pore volumes and transmissibilities in the context of neighbor and non-neighbor connections in a structured grid.

Any phase behavior program can be used with Sensor. For compositional cases, Sensor reads tabular component equation-of-state properties with arbitrary column order.

Fluid Characterization

PhazeComp is a state-of-the-art, equation-of-state PVT package for compositional phase behavior modeling and fluid characterization.

Seismic to Simulation

A complete seismic-to-simulation workflow is offered by JOA Oil & Gas BV in Jewel Suite^TM. Seismic interpretation, structural modeling, framework building and gridding, property modeling, upscaling, interactive Sensor data preparation, Sensor job submission, and post processing (plotting and 3D mapping) are available in a completely integrated workflow. Jewel's unique, patented gridding process creates relatively simple structured grids, which promote simulation accuracy and efficiency while exactly honoring geology, no matter how complex. Sensor pre- and post-processing is also available as a separate package.

Advanced Workflows

Advanced workflows are available around Sensor that promise to significantly improve productivity and profitability through assisted history matching, optimization, and uncertainty quantification. These can be generally described as circular workflows with integrated Sensor pre- and post-processing capabilities, and evaluation, optimization and run control algorithms. A basic capability and a scalable benefit is the management of serial runs on multiple CPUs to simultaneously evaluate multiple sensitivities.

"The first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency." - Bill Gates

From Nitec LLC, LYNX^® makes history matching (HM) with Sensor faster, easier and more accurate. LYNX provides practical tools and a workflow to review and quickly resolve inconsistencies between the basic source data and the simulation model results. The MatchingPro functionality in LYNX accelerates the HM process through improved understanding of the HM quality (error) relative to individual model parameter changes. The effects on the HM quality of a large range of values for multiple model parameters can be rapidly accessed after a few preliminary simulation runs. Genetic algorithms find the global minimum which results in recommended model parameter values for optimal HM quality. Multiple, equally reliable history matched solutions can also be created.

From Energy Scitech - EnABLE™ creates and manages a multi-run environment, accelerating history matches, bids, appraisals or development plans, giving confidence intervals around predictions and identifying globally optimal plans under uncertainty. EnABLE helps engineers to use a consistent workflow in all simulation projects, whatever their business objectives. Any aspect of the reservoir description that is input to Sensor can be chosen for systematic investigation. EnABLE then makes a suite of runs in which the impact of every parameter is investigated with maximum efficiency. The results of the runs are presented to the engineer for review. Using practical diagnostic tools in EnABLE, it is very easy for engineers to focus in on aspects of the reservoir performance that are important to the project objectives and to steer the course of the study. Understanding of the field and the model is gained rapidly, leading to models that more closely match requirements. Behind the scenes, EnABLE's statistical framework ensures that all the runs made are chosen efficiently, minimizing the number of runs. When history matching, most projects take only 25% of the engineering time needed to complete them using trial and error techniques. Sensitivity or history match studies lead on seamlessly into EnABLE-supported optimization of development plans that makes use of the results of runs already made.

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