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PREPARING TO MAP

The first step in mapping is to decide what you want your map to tell you. Our specialized maps allow you to comprehend complex data relationships within the context of their surroundings so that you can make informed decisions. There are hundreds of ways to analyze and display your data. Here are just a few things we can show:
  • All leases having a rental due in the next calendar month; outline those leases in red if they do not contain a Pugh clause.
  • All fee tracts less than 100% leased, or having a certain critical working or net revenue interest.
  • Leases affected by federal stipulations as they relate to various seasons of the year. For example, all leases within a 600-foot radius of a nesting site could be automatically shown in red color during Spring but then change to green when the same map is viewed or printed during Fall.
  • All wells drilled within a 10-mile radius of a proposed drill site but only if they passed through a certain target depth; show all others in black.
  • Each soon-to-expire federal lease affecting more than one section in order to determine where best to drill in order to hold the most acreage.
  • Oil or gas pipelines to determine proximity of proposed drill sites.
  • All tracts where a target acquisition company owns any leasehold or working interest.
Sample Maps: Lease Expiration; Lessee Ownership; Potential Well Site; Depth Chart; Stratigraphic Units; Merge Polygons; Map Legend; Map Error Report

The next step is to make sure your data contains the information you want to display. For example, you cannot ask to see all tracts having less than 80% NRI unless your data contain NRI values. Furthermore, the data must have been entered in a consistent, map-compliant manner. Whether by providing a “punch list” for you to complete or correcting the information for you, we can ensure you have what you need. See Data Management.

We can also use third-party data to further enhance your map, things like well spots, topography and more. Consistency is everything. In order to get good answers, your data must be consistent. Typos and misspellings cause queries to miss important information. Our proven quality control measures can help you there.