FairwayFinder automates the aggregation and synthesis of Neftex® Predictions content from global to play scale to model the spatial extent and presence of individual play elements. These models are built on a suite of gross depositional environment maps constrained by a wealth of public domain data. These are stacked and processed using sequence stratigraphic principles to model the spatial distribution and are then assessed alongside surface geology and our market-leading geodynamic model to predict the preserved extent of the play element.
By integrating global depth structure surfaces constructed in DecisionSpace® 365 Geoscience Suite, FairwayFinder is able to assess depth-related risks such as source rock maturity and reservoir effectiveness. When combined with the mapped play presence distribution, new insights into potential kitchen locations, migration pathways and reservoir sweet spots can be revealed.
FairwayFinder allows the user to define the project area and geological parameters for the play. This includes the geological time range for play elements and the lithologies to consider prospective. The global coverage of content provided by Neftex® Predictions allows screening to be conducted in any petroliferous region of the planet. This level of customization enables users to evaluate play concepts and test new ideas.
FairwayFinder allows the user to rapidly reiterate projects and fine-tune the input parameters. This enables multiple scenarios to be assessed and for the geoscientist to understand the range and likelihood of key exploration risks. The application features advanced web mapping functionality, allowing multiple results to be visualized and interrogated without the need for downloading to desktop packages.
As part of the screening workflow, FairwayFinder generates a range of intermediate outputs that are used in subsequent stages of the workflow. Examples of this include kitchen maps, reservoir effectiveness maps and depositional extent maps. Each of these intermediate outputs are delivered alongside the constraining data locations, allowing users to understand where the results are supported by data, and providing a head-start in more detailed fairway mapping workflows.