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AssureLens Newsletter — October 2026

11 November 2026

AssureLens Newsletter — October 2026

From the AFE to the outturn.

Evidence your team can check.

Every well outcome makes the next well smarter, but only if the evidence behind each insight can be trusted. This issue follows that thread from cost to integrity.

In This Issue

01. AFE Intelligence — Better visibility into well costs

02. ExpertHub is Live — Launched with rp² and Drillers.com

03. Houston Recap — Knowledge graphs for drilling

04. Introducing WellLens — Our upcoming well-integrity solution

05. Research and Reading — Our first paper, a new advisor and posts worth a read

👉 Read the complete newsletter:

https://assurelens.tech/newsletter/october-2026.html

 

01. AFE Intelligence

Catch Cost Drift While Decisions Can Still Change

Cost overruns are often discovered at close-out, when it may be too late to make a difference. Keeping track of budgets, estimate revisions and invoices across the well delivery process can make it difficult to see where costs are heading.

AFE Intelligence by AssureLens brings cost visibility across every phase of well delivery, comparing budgets and actual spending against benchmarks to improve forecasts and identify opportunities to optimise costs.

It reviews AFEs, estimate revisions and invoices, flagging variances and items that need closer attention, with people making every decision.

AFE Intelligence Workflow

 

From Submission to Close-Out

1. Ingest

AFE parsed from PDF, Excel or API.

2. Validate and Predict

Line items scored, total range predicted.

3. Review

Analyst checks flags and evidence.

4. Monitor

Revisions tracked, invoices reconciled.

5. Close Out and Learn

AFE vs actual updates benchmarks.

 

People decide. Agents organise the evidence; analysts approve, query or escalate every flagged item.

 What Every Invoice Is Checked For

✔ Duplicates

✔ Rate checks

✔ Wrong well or timing

✔ Budget limits

 

Typical Today vs. AFE Intelligence

1. Cost Surprises

⚠️ Typical Today: Overruns discovered at close-out.

✅ With AFE Intelligence: Drift monitoring and early overrun alerts.

2. Billing Accuracy

⚠️ Typical Today: Manual invoice matching, quarterly audits.

✅ With AFE Intelligence: Continuous automated reconciliation.

3. Audit Trail

⚠️ Typical Today: Expensive, periodic third-party audits.

✅ With AFE Intelligence: Every agent action logged; audit-ready evidence.

💬 Ask It in Plain English

"Which line items are overestimated on this well?"

"Which wells have billing anomalies?"

The planned assistant answers from the same evidence the agents use.

🔗 Explore AFE Intelligence

 

02. ExpertHub Is Live

Launched October 7 with rp² and Drillers.com

What if the energy industry's best minds were available when you needed them most?

That's the idea behind ExpertHub, launched by SwarmLens, rp² and Drillers.com.

ExpertHub connects organisations with verified energy professionals for project-based, contract and permanent engagements.

As part of the AssureLens ecosystem, it also brings specialist expertise into AI workflows, helping teams review and validate AI-generated insights with real-world engineering knowledge.

ExpertHub Features

1. Hire by the Hour, Day or Month

Verified specialists on demand.

2. Contracting, Verification and Payment

Handled on the platform if you prefer.

3. Builds on Drillers.com Legacy

Industry network established in 1996.

Explore ExpertHub

🌐 Visit ExpertHub:

https://experthub.drillers.com/

📰 Read the official press release:

SwarmLens, rp² and Drillers.com Launch ExpertHub

 

03. Houston Recap

Knowledge Graphs for Drilling

685 Documents In. About 447 Engineer-Approved Insights Out.

At Oil & Gas AI USA 2026 (October 8), Ram Pillai, Co-Founder and Solution Lead at SwarmLens, showed how historical drilling reports become verified, reusable knowledge for planning the next well.

Harish Pillai, Ram Pillai and Matt Lewis at Oil & Gas AI USA 2026 in Houston

📸 Harish Pillai, Ram Pillai and Matt Lewis at Oil & Gas AI USA 2026, Houston

Case Study: From Drilling History to Approved Insight

685 documents analysed

20,000+ raw insights, each traceable to source

1,400+ after automated de-duplication

~447 decision-ready, each approved by a named engineer

Time to Result

Manual Review:

6 to 8 weeks (estimated)

With AssureLens:

✅ Under one week

💬 Insights from Ram Pillai

"Most AI tools are built to sound and look right. On a rig, sounding right is not enough."

— Ram Pillai, Co-Founder and Solution Lead, SwarmLens

📰 Read the press release:

SwarmLens Presents a Knowledge Graph Case Study for Drilling at Oil & Gas AI USA 2026

 

04. Introducing WellLens

Coming Soon: Our Upcoming Well-Integrity Solution

Proving wells are safely sealed is critical for carbon storage and decommissioning in the UK North Sea.

Yet, vital evidence is buried in decades of fragmented records, and critical knowledge remains in the minds of experienced engineers.

WellLens by AssureLens brings the evidence together to help operators assess well integrity, identify gaps and make informed decisions.

UK Well Decommissioning and Carbon Storage

£1.3bn

Spent on UK well decommissioning in 2025.

1,400+

Legacy wells on current UK carbon storage licences.

Sources: NSTA, UKCS Decommissioning Cost and Performance Update 2026; SPE Aberdeen, CO₂ Storage 2024 (as cited in the WellLens Opportunity Overview, October 2026).

🧠 From Well Files to Checked, Linked Evidence

Multi-agent AI supports engineer judgement; engineers and the operator keep all accountability.

⚙️ WellLens Assurance Engine

1. Read Well Files

2. Extract Barriers

3. Build a Well Graph

4. Check the Rules

5. Challenge Findings

6. Report for Review

Every step logged for audit. Engineers approve, edit or reject each finding.

Help Shape WellLens Development

Want to help shape its development?

Reach out for collaboration opportunities.

 

05. Research and Reading

Worth Your Time

📄 Time Is the Budget: Our First Research Paper

A well can finish under its AFE and still lose time.

Hari Menath and Mini Mathachan Alappatt reconcile drilling hours and well-cost variance exactly, as a bridge from the AFE to the final number.

The catch: the benchmark decides how a variance splits between a generous plan and slow execution.

Open access (CC BY 4.0), with reproducible scripts.

📖 Read the Preprint

🔗 LinkedIn Post

 

Welcome to the Advisory Board, Gordon Duncan

Advisory Board — Well Integrity

45+ Years of Global Oilfield Experience

📸 View Gordon Duncan's Photo

"I joined SwarmLens to turn real-time collective data into actionable, high-impact insight. SwarmLens brings order to the noise. The ability to harness real-time collective data and turn it into clear, actionable, high-impact predictive insight is easily its best feature."

— Gordon Duncan

More than 45 years of global oilfield experience in barrier standards, risk management and well interventions, now helping shape AssureLens well-integrity capabilities.

🔗 Read the Announcement

 

🌐 From Our Channels

📅 LinkedIn — October 5

Every Well Teaches Something

How much drilling knowledge reaches the next team?

📅 LinkedIn — October 14

AI Belongs Inside the Workflow

Real-time data is half the picture; the well's history is the other.

📅 LinkedIn — October 15

The SwarmLens Briefing, October

Who checks the AI output, and who makes the final call?

 

📍 Meet Us in November

We will be in:

  • Oslo
  • Stavanger
  • Aberdeen
  • London

🔗 Know More

 

📅 Bring One AFE. We Will Start There.

Provide a recent well where the cost story is still unclear.

We will walk through the estimates, revisions and invoices with you in AssureLens, with your specialists in the loop.

Book an AssureLens Demo

🔗 Book an AssureLens Demo

 

📩 Contact Us

Reshma Nair

Head of Products, SwarmLens Inc.

📧 [email protected]

🌐 https://assurelens.tech

Powered By

SwarmLens — https://www.swarmlens.com

ExpertHub by Drillers.com — https://experthub.drillers.com

Relentless Pursuit of Perfection (rp²) — https://www.rp-squared.com

 

© AssureLens 2026. All rights reserved.

🔗 View the Complete October 2026 Newsletter

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