Before comparing production, match the definitions

WELCOME

A chart can look comparable before its inputs are comparable. This edition helps Alberta and BC operators frame a public-data comparison before asking AI to explain a trend.

TODAY

• BCER adds production views.
• Alberta gas statistics have a methodology change.
• Build a comparison record before drawing a conclusion.

OPERATOR BRIEF

1. BCER expanded its Production Dashboard on September 21, 2026. New views include operator, field and pool summaries, initial-production statistics and well maps; these provide starting points for a clearly scoped public-data question. [1]

2. AER says its 2026 ST3 gas report adopted revised methods in April, while published 2017–2025 editions remain unchanged. A separate historical file applies the revised approach: check the series you selected before describing a year-to-year movement as an operating change. [2]

3. CER’s conversion tables distinguish volume from volume per day and list gas-unit conventions. This is an evergreen reference, not a new announcement; retain the original unit beside any converted figure. [3]

TOOL TO TRY — CER CONVERSION TABLES

• Use: check the meaning of a published unit and its conversion reference.
• Limitation: a conversion does not establish that two products, periods or measurement bases are comparable.
• Application: add original unit, target unit and cited conversion to a comparison worksheet.
Official resource reviewed; no claim of field testing or equipment suitability. [3]

FROM THE FIELD

Consider a fictional planning team comparing two public production tables. One analyst has selected a province-wide monthly total; another has a single operator’s daily rate. A neat shared chart would hide the mismatch.

The first useful output is a comparison record. Write down the selected geography, product, period and unit before copying a value. Keep a saved source reference so someone else can repeat the selection.

Next, separate a changed definition from a changed observation. AER’s methodology notice is a concrete reason to ask which series a workbook contains. An unexplained difference belongs in the open-questions column until checked. [2]

Finally, state what the comparison can support. Public statistics may help frame a research question, but this fictional exercise does not diagnose a facility or select equipment. A site-specific technical decision still needs suitable evidence and independent review.

PUT IT TO WORK

1. Write one non-confidential question that the comparison should answer.
2. Save each source URL, retrieval date and selected reporting period.
3. Record product definition, geography, aggregation and original units beside each value.
4. Mark unresolved method or scope differences before calculating a comparison.
5. Ask a reviewer to reproduce the selection and challenge the proposed conclusion.

PROMPT STATION

Using only the public excerpts and source links I provide, create a comparison record with columns for source, reporting period, geography, product, aggregation, unit, method/version and unresolved differences. Quote no missing values. Do not infer equipment performance or recommend operational changes. End with the evidence needed before comparing the figures.

Use only information you are allowed to share. Check every extracted value and source yourself; AI may misread labels or invent a connection.

YOUR ETSS TOPIC

We develop pre-FEED Engineering Technology Selection Study (ETSS) draft proposals for small independent Alberta and British Columbia oil-and-gas businesses. Send a non-confidential project decision and your main constraint to feedback@darkfactorymaker.com. AI clarifies your requirements and prepares a bounded scope, deliverables, assumptions and proposed commercial terms. Engineering companies, EPCs, Obsidian Engineering, Tetra Tech and their affiliates are outside this prospecting campaign.

Proposals are non-binding drafts, subject to approval by Singularity Engineering Canada Ltd. human oversight. If you indicate acceptance, the exact proposal is referred to Patrick Law and Patricia Manaog for approval before any binding commitment or paid work. Customer acceptance does not authorize billing or technical use. Previously agreed free-study commitments remain honoured; there is no blanket free-study offer or automatic billing.