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COMPARING BASIN OUTPUT:

Infrastructure Data That Guided a $60M Development Decision

Industry: Upstream Oil & Gas Production

Objective: Strengthen development planning and capital allocation across competitive basins.

Who It’s For: Regional producers assessing which acreage blocks justify new drilling investment and which competitors’ positions signal near-term production upside.

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The Challenge

A regional upstream operator with assets across several basins needed to understand how its portfolio compared with competitors developing in adjacent acreage. Public datasets and state filings provided fragmented production data, competitor databases were hard to use, and missed data points obscuring which operators were gaining output momentum and which areas were starting to decline. Additionally, they needed insights into competitor’s successes at various depths, formations for conventional wells. 

Without a reliable view of competitor activity or surrounding infrastructure, the planning team risked misallocating drilling capital — investing in zones with limited pipeline or processing access while competitors captured better-positioned opportunities. 

At the same time, management wanted to identify sites where future development could align with nearby renewable generation, supporting corporate sustainability goals without compromising production economics.

The Solution

Rextag’s Energy DataLink platform equipped the producer’s asset planning and strategy group to:

Benchmark competitor production across neighboring counties, using well-level production attributes and ownership history.
Map infrastructure availability, including pipelines, processing plants, and compressor stations tied to each basin segment.
Identify development-ready zones with existing midstream access to reduce future capital costs.
Screen for renewable power proximity, locating substations, transmission corridors, and solar facilities that could support lower-emission operations.
Export basin-wide datasets for integration into the company’s internal capital planning models.