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AssureLens - Agentic AI for Energy
Peer set · same basin, depth and well typeYour wellPeer benchmarkDays per 1,000 m · 12 peer wellsNormalisedTOP QUARTILEP50Well P-143.9Well P-034.3Well A-124.8Well P-095.2Well P-215.6Well P-076.3Target set · 4.2 d / 1,000 mTop-quartile pace for the next well,based on 12 comparable peers.

Review / Benchmarking

Compare performance in the right operating context.

Bring offset-well or authorised wider benchmarks into a structured comparison of phases, activities and performance measures.

A closer look at the workflow

An illustrative Benchmarking workspace.

Configure the module around your data, team and agreed workflow.

assurelens · workspace

Review / Benchmarking

Example campaign · Well A

Sample data
12Open items
03Require review
09Assigned
BEN-003
BEN-004
BEN-005

Illustrative interface concept · not a live product screen or customer result.

What this module does

Three moves, one connected record.

AI organises the evidence at each step. Your specialists review it before it moves on.

01

Choose a relevant peer set

Review formation, well type, rig and operational conditions before comparing results.

02

Normalise the comparison

Use consistent definitions and units, and make exclusions and data gaps visible.

03

Set informed targets

Use the comparison as an input to expert-led planning and performance review.

Who uses it

Performance engineers, planners and well delivery leaders

What goes in

Selected offset wells, agreed measures and contextual information

What comes out

Comparable performance views, gaps and candidate improvement targets

Connected across the well lifecycle

One workflow builds on the next.

Source context, expert review and accountable decisions connect the AssureLens modules.

Start a conversation

Which workflow should we improve first?

Bring a planning challenge, a set of operational records or a recurring review task.