DBReS MINTby DBReS
Offshore production platform
Well Performance Modelling

Know what your well will actually do.

Nodal analysis, PVT, inflow, outflow, matching and sensitivity in one workspace. Built in Ghana for operators who need answers they can defend, at a price that makes sense.

Open MINT Request a pilot

Free during beta. No signup. A worked example well is loaded and ready.

Capability

The full well model, end to end

Everything between the reservoir and the wellhead. Fluid in, physics through, decision out.

01

PVT and fluid properties

41 correlations from Standing to Al Marhoun, plus full compositional EOS for gas condensate. Each carries its published range, and MINT tells you the moment you step outside it.

02

Inflow performance

15 IPR models for oil and gas, multi rate test fitting, and skin decomposed by cause, so "your skin is 6" becomes a workover plan with a named target.

03

Outflow performance

10 VLP correlations including mechanistic Ansari. Deviation surveys pasted straight from Excel, tapered strings, and a flowing temperature model, because the wellhead runs hot when a well flows hard.

04

Nodal analysis

Every crossing found, stability judged, dead wells called dead. The gravity and friction split tells you whether the answer is lift or a bigger conduit.

05

Matching

Tune to your lab report and your gauge data, then see which correlation actually fits your fluid, ranked by standard deviation against your own numbers.

06

Sensitivity and reporting

Vary anything, see the run count before you commit, and export a report whose limitations section is generated from what the model did and cannot be edited away.

07

Artificial lift and flow assurance

Gas lift design, valve mechanics, ESP sizing, erosional velocity and liquid loading are in active development. We would rather tell you now than have you find out in a pilot.

Why MINT

They will not ask how many correlations you have.

They will ask whether it matches their well. MINT is built around that question. Matching, uncertainty and traceability are the spine of the product, not features bolted on later.

Where correlations disagree, MINT shows you the spread instead of averaging it away. Where a model is extrapolating, it says so at the point of use and again in the report. An engineer who can defend the number is an engineer who keeps using the tool.

Read the documentation

Offshore production facility
Validation

Every number has a source

The engine is checked against published worked examples and analytic solutions, and the whole ledger is open to every customer.

700+
automated tests, run on every change
0.1%
against Guo's published Poettmann Carpenter example
0.2%
against the analytic static gas column
14/14
printed intermediates matched on validation
Validating one correlation turned up a misprint in a leading textbook's own printed equations. That finding ships in our documentation rather than being quietly worked around.
We publish what is validated against worked examples, what is anchored analytically, and what is only behaviour tested, and we do not blur the line between them. No correlation enters this engine without its source paper open in front of us.

Bring one well and a test report.

The first thing we will do is match it in front of you. Pilots are open for West African operators.

Request a pilot Open MINT