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EmiSourceAINCEL · KNUST
Emissions intelligence for the oil and gas sector

One trusted emissions record for every stakeholder.

EmiSource AI turns routine production data into a source-resolved greenhouse-gas inventory, with stated uncertainty, a declared evidence tier for every source and a clear line from each figure back to its data and method. Operators, regulators, environmental agencies, finance ministries and verifiers work from the same evidence.

Reference deployment · Ghanalive

Upstream methane, 2018 – Mar 2026

82.4kt CH₄

95% interval 42.7 – 132.0 kt

Facilities
3
Largest source
70% flare — uncombusted methane
Tier 2 or 3
92%

Mean of 2,000 Monte Carlo draws; bottom-up and activity-based, not a measurement. How it is made

Supports reporting under
  • IPCC 2006 Guidelines and 2019 Refinement
  • Paris Agreement transparency framework
  • OGMP 2.0
  • EU Methane Regulation
  • National methane guidelines
Who it serves

A workspace for each stakeholder, on one evidence base.

Each organisation sees what its work requires and nothing more. Because every party reads the same figures, discussion can focus on interpretation and action.

01

Operator

For example, a licensed oil and gas operator

Prepare and file monthly returns, track methane programmes and see your own facilities' emissions.

02

Upstream regulator

For example, the Petroleum Commission

Review returns, follow national and facility trends, and prepare evidence-backed briefings.

03

Environmental agency

For example, the Environmental Protection Authority

Follow operators' methane programmes and leak repair, and support national inventory reporting.

04

Revenue and finance

For example, the Revenue Authority and the Ministry of Finance

Draw on consistent emissions evidence for fiscal and policy analysis.

05

Independent verifier

For example, an accredited verification body

Trace any figure to its inputs and method, and re-run it independently.

06

Platform developer and research

For example, NCEL, KNUST

Maintain the method, the factor sets and the standards mapping, and administer the platform.

Training programmes use the open Library and guided material. Access is granted by organisation, under data-sharing agreements.

How it works

From routine data to reviewable evidence.

  1. 1Data in

    Monthly returns by form, file or API, checked against published rules before filing. Satellite observations and OPGEE runs for comparison.

  2. 2Physically based estimation

    A versioned engine resolves each source and propagates parameter uncertainty; method changes are versioned and reproducible.

  3. 3Review

    Rule checks and AI screening raise questions; specialists decide, with notes, in a shared record every party can see.

  4. 4Evidence out

    Briefings with a verification code, evidence packs, audited exports and readiness assessments, each traceable to its source data.

Reference deployment

Built and tested on Ghana’s upstream sector.

Developed under the Net-Zero Carbon Emission Project with sector oversight by the Petroleum Commission, on the country’s offshore production record. The platform is designed to be configured for any producing jurisdiction: its facilities, its institutions and its national guidelines.

See the platform’s transparency record
months of production returns
99
emission sources resolved per facility
12
of 0 scheduled re-runs reproduced the stored figure
—
planning horizon, five scenarios
2040
Principles

Built to be relied on.

A shared record is useful only if every party can trust how it was made. These commitments are part of the design.

Estimates are labelled as estimates

Bottom-up figures carry their basis, evidence tier and interval wherever they appear, and are never presented as measurements.

Assurance stays independent

The platform supplies the evidence; accredited verifiers provide assurance, so no institution verifies its own figures.

People make the decisions

AI raises questions and prioritises work. It does not produce headline figures or decide outcomes.

Support, not determination

Screening tests and readiness assessments inform stakeholders' own judgements. They are not compliance determinations.

Bring a shared, verifiable emissions record to your organisation.

Request access for your organisation, or contact the Net-Zero Carbon Emission Lab about a demonstration or configuring EmiSource AI for your jurisdiction.