OIL & GAS

Audit-Ready Environmental and Emissions Data for Oil & Gas Operations

GLYNT.AI turns raw files from hundreds of sites and vendors into one traceable, audit-ready source — granular, verified Scope 1 and 2 emissions data, ready in weeks, not months.

KEY PAIN POINTS

Turning complex oil & gas data into audit-ready sustainability reporting

GLYNT.AI turns complex, high-volume data streams into finance-grade, audit-ready sustainability data — built to meet oil and gas companies’ expanding reporting requirements.

Large, complex footprints

GLYNT.AI captures global portfolios at site, meter, sub-meter and chargeline levels.

Highly varied input files

GLYNT.AI integrates diverse input files into one structured dataset.

Finance-grade, audit-ready

GLYNT.AI prepares sustainability data using the same methods and controls as financial data.

Enterprise-grade security

GLYNT.AI is SOC 1 (Type II) and SOC 2 (Type II) compliant.

CUSTOMER SUCCESS

A global oil and gas producer unlocked bond financing in 7 weeks

GLYNT.AI configured custom reporting from an initial 20 test sites, then scaled it across 450+ locations and 4,800+ data sources. AI-powered fingerprinting removed duplicate invoices, and every record was mapped to its physical site for a clean audit trail — delivering one full year of verified emissions data in 7 weeks and unlocking the bond raise it had been holding up.

Read the case study

7 weeks to one full year of verified, investor-grade data

100% audit pass, no qualifications

5x ROI on back-office efficiency

450+ site locations covered

“We needed accurate, audit-ready sustainability data. GLYNT.AI delivered. And helped us gain a 5X return through improved back office efficiency.”
– Operations Specialist, SAP

PERFORMANCE METRICS

Here’s what changes when oil and gas companies switch to GLYNT.AI

Metric	Before	With GLYNT.AI
Time to One Year of Data	Manual assembly, ongoing delays	7 weeks
Audit Outcome	No audit trail	100% pass, no qualifications
Site Coverage	Fragmented across sites	450+ locations
Data Sources Automated	Manual, vendor by vendor	4,800+ automated
Reporting Cadence	Annual	Quarterly, moving to monthly
Back-Office ROI	Baseline	5x return
Financing Status	Delayed	Approved

THE FAQ

Questions about oil and gas Scope 1 and 2 emissions data

What are Scope 1 and Scope 2 emissions data?

Scope 1 covers emissions a company generates directly in its operations; Scope 2 covers emissions from the energy it purchases from utilities. These are huge emission centers for oil & gas companies, and lenders and auditors increasingly expect both delivered as verified, audit-ready data.

How does GLYNT.AI catch duplicate invoices across multiple ERP systems?

GLYNT.AI uses AI-powered fingerprinting, and additional layers of data-level duplicate testing, to identify duplicate entries arising from the multiple ERP systems, so nothing gets double-counted before it reaches a report.

Can emissions data be prepared quickly enough to support a financing deadline?

Yes. GLYNT.AI delivered one full year of verified emissions data in 7 weeks for one global oil and gas producer, unlocking a bond raise that had been on hold.

How does GLYNT.AI handle multi-commodity bills that combine natural gas and electricity charges?

GLYNT.AI reads multi-commodity invoices line by line and assigns each charge to the right commodity, so natural gas and electricity data come out tracked and reported on their own.

Can GLYNT.AI process bills covering dozens of meters at a single site?

Yes. Multi-meter bills are common across well sites, compressor stations and pump stations. GLYNT.AI extracts every meter’s data individually and rolls it up to the site level automatically.

What is a summary bill, and how does GLYNT.AI handle it?

A summary bill rolls up multiple locations, meters, or billing periods into one invoice. GLYNT.AI unpacks it and traces every charge back to its originating site, so nothing gets lost in the rollup, and correctly ties each event back to the financial record.

Is GLYNT.AI built for emerging oil and gas reporting standards like Carbon Measures?

Yes. As coalitions like Carbon Measures push for product-level carbon intensity reporting, and initiatives like OGMP 2.0 and MiQ raise the bar on methane data, GLYNT.AI’s finance-grade, audit-ready data infrastructure is built to meet those trajectories — not just today’s requirements.