Gaining access to new or even existing Well Pad Sites has never been easier. Generate optimal routes for Access Roads along Pipeline Gathering Systems or wherever roads fit best into the existing infrastructure.
Whether your team is striving to minimize construction to cut costs or reduce impact on the environment, Access Roads may be placed alongside the Pipeline Gathering System or wherever they best fit. You have the tools to choose.
When constructing the road network that will be used to access Well Pad Sites, take into account the state of the field being developed. By connecting to existing roads or building new paths, customize the Access Roads to the location and situation.
Integrated Geomancy can include as many supplemental datasets and constraints as your team wishes to include. Enhance this model and optimization results by exploring which variable are most often used throughout this process.
Make the most of existing roadways by determining placement of Access Roads based on the road networks already present within the area. No roads to be found? That is okay too. Develop a network that connects your assets efficiently regardless.
Your team should have control over the method used for routing Access Roads within the field. From aligning new roads based on efficiency to laying a road network alongside a Pipeline Gathering System or Transmission Pipeline, Integrated Geomancy gives you the power to choose.
There are many circumstances which call for the development of Access Roads between your company's Well Pad Sites. For many of these, the primary objective is finding the best route from one site to another without regard to other infrastructure like the Pipeline Gathering System. This method may be used in developing both greenfield and more established fields.
The robust tools within Integrated Geomancy are designed to help your team minimize the amount of unnecessary construction in areas where the Pipeline Gathering System is being developed. Your team may choose to route Access Roads to connect Well Pad Sites while keeping to the path established by the pipeline, cutting down on costs and environmental impact.
The approach taken when deriving the Access Road network will differ depending on the area - or future outlook of the area - in play. Take into account variables like existing roadways to properly and efficiently tie together the system.
No existing roads in the area? No problem. Build Access Roads based on connecting Well Pad Sites to one another. This method is ideal for greenfield scenarios or areas where general infrastructure is unknown.
Take advantage of existing roads within the area, constructing the Access Roads to connect Well Pad Sites to existing transportation networks. This method helps to tie new sites into an established network with ease.
Bringing the full view together, there is true value in allowing development to optimize the Access Road network by both connecting Well Pad Sites to one another and to existing road networks. This option is designed to produce the most optimal layout.
To help generate Access Roads in an area as close to real-world circumstances as possible, we encourage you to include as many and as varied input spatial datasets within the Integrated Geomancy model as you have available. This input is used to generate surface models off of which optimization will be based.
In order for the Integrated Geomancy toolkit to optimize the locations of assets, a Digital Elevation Model (DEM) must be provided. This data, alongside any supplemental data and constraints, allows the toolkit to determine the best placements for assets like Access Roads and Pipeline Gathering Systems.
When Access Roads are calculated, a surface model is provided to aide you team should alternative routing need to occur. This raster dataset shows those locations where the network is the most (e.g., blue) and least (e.g., yellow) optimized for the area.
Produced by the Integrated Geomancy toolkit, this surface serves as input for nearly ever Analysis tool. It also acts as a helpful reference for where construction can (e.g., green) and cannot (e.g., red) occur - as well as where it is discouraged (e.g., yellow) based on the data included in the model.
Generated by the application alongside the Constructability Surface, this solution offers a reference for those input datasets that have the most impact on the overall constructability of the area in which your team is working.