MPATH

 

MPath, from The Permedia Research Group, predicts petroleum migration trajectories and highly detailed petroleum emplacement patterns by rapidly simulating multi-phase flow behavior in porous and fractured media. Using MPath, you can model 3D, multi-scale, multi-million gridcell petroleum transport in a matter of minutes.

Complete with advanced model building, querying and visualization tools, MPath is valuable to both traditional basin modeler and reservoir characterization teams.

Ultra high-resolution petroleum migration modeling
At the core of MPath is a high- resolution petroleum migration simulator that rapidly simulates multi-phase flow behavior in porous, faulted and fractured media to predict petroleum migration trajectories and highly detailed petroleum emplacement patterns. Using MPath, you can model 3D, multi-scale, multi-million gridcell petroleum transport in a matter of minutes or hours rather than days or weeks. With MPath, the same set of tools can be used to evaluate petroleum flow and emplacement ranging from core to basin scales. The tool is also easy to use, with similar workflows at each scale of investigation.	Results of a 20 million gridcell petroleum migration simulation. Typical model sizes are in the hundreds of millions of cells. Colors represent capillary fluid pressures.
Mitigate risk
MPath is designed to consider the uncertainties that exist in any modeling regime. You can enter petrophysical data as probability curves rather than discrete values to base simulation results on a range of user-defined scenarios to better reflect geological and data collection realities. Because MPath runs so fast, decisions can be based on multiple realizations from multiple scenarios. MPath's built-in risking capability can generate and rank hundreds of realizations and combine them into a probability map/volume to reveal commonalities and assess risk. You can then compare the results with observed data to rank model results. Use MPath's Distributed Risk Module (DRM) to run multiple realizations concurrently. DRM plugs easily into existing distributed processing environments, and is fully compatible with Sun Grid Engine, OpenPBS, and Platform LSF.	Composite results from several reservoir filling scenarios. Assumptions on input petrophysics and charge points were varied between runs. Colors represent frequency of petroleum presence across scenarios.
Link with external data
MPath leverages existing software investments and data through robust links with external data formats. Input -Create MPath models from a variety of sources, including sets of grids generated from PetroMod, Temis 2D/3D and other basin modeling packages. -Add faults using data derived from Badley's TrapTester and Gocad. -Use volume data from SEGY, .vol or Gocad voxets. -Add maps using MPath's native support of ZMap, Irap, Beicip and other map formats. Output Model results can be output in several volume and map formats, including ZMap and Gocad.	Salt dome created in Gocad and rendered in MPath using the Gocad T-Surf format.
Qualify results
Rank and correlate model results with real-world data derived from wells, volumes and maps. Compare the results of each realization with the distribution of known petroleum accumulations or hydrocarbon indicators. By discarding models that fail to match, you can focus on realizations that are most likely to correctly predict the location of new accumulations.	Summary of the results of various model realizations and scenarios plotted against observed well data. Different measures of "goodness-of-fit" are calculated. Results are color coded for quick visual ranking.
Mapping
Easy-to-interpret summaries of your data are available through MPath's mapping features, with support for industry-standard formats like ZMap, Irap, Gocad and Beicip. You can create models from a set of stacked maps, and perform simple map analysis, including elevation contours, creating isochore maps, and performing simple calculations. You can also create summary maps by projecting the fluid data onto a datum elevation, or of simulation results from 3D views.	Map rendered in MPath's visualization module using a custom color scale.
Visualize and query
With a rich set of analysis and visualization tools, MPath greatly simplifies understanding of the complex "plumbing" of petroleum systems. Load multiple objects (wells, cultural polygons, etc.) into existing 2D or 3D scenes for quick comparison with real-world data. Query and summarize spatial accumulation data by several measures, including rock volume, body position and extents, total pore volume, depth of top of accumulation, depth of vapor-liquid contact, depth of liquid-water contact and in situ and stock tank volumes. You can also export summary maps of specific bodies, and plot the extents of the bodies in your model.	Results of a reservoir filling scenario. Statistics are provided on each accumulation. These summary tables are linked with the viewers to facilitate queries and analysis.
High resolution faults and fluids
MPath also includes features for evaluating the impact of fault geometries and properties on reservoir filling and seal potential. MPath supports fault properties derived from Badley's TrapTester and triangulated modeled in other packages, such as gOcad, by mapping fault attributes (e.g., shale gouge ratio) to petrophysical parameters (e.g., capillary threshold pressures), without any loss of resolution or detail to the source faults.	Several TrapTester faults inside an MPath model. Fault geometries and properties are modeled at their full input resolution.
Downscale with fabrics
While most flow solvers require some form of upscaling, MPath can use data at its native resolution, letting you focus on the geology and the fluids, not on degrading data to suit the solver. Using MPath's "conditioning fabrics", infill coarse basin or reservoir models with fabric information derived from seismic, geostatistical models, or other data, at its original resolution. Because the fabric does not need to correspond with the precise spatial dimensions of the overlying grid, you can condition those portions of your model for which you have data, and use detailed reservoir models in basin-scale simulations. This lets you use consistent data sets from reservoir to basin scales and back again.	A dynamic basin model created with PetroMod with a fabric derived from seismic attributes. The datasets were combined in MPath, which then performed the petroleum migration calculations. Colors represent charge risk across twenty stochastic realizations.
Reservoir fluids and fluid mixing
MPath's new high-resolution reservoir fluid pressure, continuity, and mixing solver has a variety applications, including: - fluid continuity assessments: determine the nature of flow barriers based on observed fluid heterogeneities. - calibrated charge history studies. - pressure volume modeling and description of hydrocarbon distribution for 4D surveillance studies. - assess mixing at geologic and production timescales. The solver can be applied at very early stages of reservoir appraisal as well as during subsequent appraisal and development as (increasingly) high resolution and data rich rock and fluid descriptions become available.	Fluid velocities between an injector-producer pair. Ultra-low velocities are not shown.
Additional information on MPath can be found in our download section, please follow the link MPath Brochure. If you wish a presentation on any of our products and services, do not hesitate to contact us. We have multiple alternatives to give you access to the best technology: licensing, leasing or consultancy.