Production Insights You Can’t Unsee

February 3, 2026

Most teams don’t struggle because they lack data. They struggle because the signals that matter are scattered across spreadsheets, screenshots, and disconnected tools.

With AssetBook Graphs, existing data is brought together in a way that makes it useful for real decisions. Without that assembly layer, entire categories of insight stay out of reach, not because the data isn’t there, but because it never shows up in a decision-ready form.

Production Truths

Competitor analysis and triaging various potential acquisition candidates can often be an arduous task. Production analysis often breaks down when scale overwhelms signal.

Without Graphs, large operators dominate averages, inflection points disappear, and teams spend more time debating curves than agreeing on conclusions. The real question is whether an asset is actually competitive.

Fig. 1: Dominant players in the Pembina Field

With Graphs, stacked time-slice views and peer trendlines replace single-curve storytelling. Dominant operators can be filtered out so comparisons reflect performance rather than sheer scale. You can easily disseminate which years have added to a company or an areas total production and identify which years may have more favourable declines.

Fig. 2: Cardium production in the Pembina Field

Probability views are used to frame ranges and thresholds, and to predict outcomes. This helps teams talk about upside and downside without anchoring on a single, best-case scenario.

Fig. 3: Oil Rate Probability of Cardium wells drilled after 1/1/2020 in the Pembina Field

It is also very easy to see how zones are becoming depleted over time or how technology or drilling/completion techniques have actually improved things over time by Grouping by First Prod. Date, and setting the date ranges.

 

Just as importantly, context is built in. Working interest versus gross, dollars versus dollars per hectare, rates versus cumulative volumes. These distinctions are clear from the start, which reduces rework and defensiveness later in the process.

Workflow Fit

Even strong analysis loses value if it slows teams down.

Without Graphs, analysts repeatedly rebuild the same charts and leadership ends up debating methodology instead of decisions. The underlying question becomes whether the team can screen faster and still stand behind the result.

Graphs supports a more direct workflow. An area of interest can be drawn directly on the map and every graph updates immediately, without ad-hoc data wrangling.

Teams can use Graphs for fast first-pass screening, then export clean data to Excel or tools like ValNav for deeper economic work. What used to take hours can be done in minutes.

A Practical Reality Check

Yes, pieces of this can be recreated elsewhere. But doing so costs time, consistency, and context. In practice, most teams lose working-interest awareness, peer normalization, or both, which slows decisions and weakens confidence.

Once teams see these views working together, it becomes difficult to go back.

See the Insights Before the Market Moves

Join us for the AssetBook Graphs Webinar, where we’ll walk through real-world land intelligence examples.

You’ll learn how to:

  • Understand a potential acquisition’s production profile at a glance
  • Compare assets and peer groups in seconds
  • Identify which fields and zones actually drive production
  • Prepare smarter land bids using bonus and probability graphs
  • Frame upside and risk with time-slice and probability views

Stop reacting to outcomes. Start shaping them.

Register now for the Graphs Webinar – February 11 at 9:00 AM