H2S Scavenger Program Tracking and Dosing Optimization
H2S scavenger is dosed against a moving target: gas rate and H2S concentration both change. Prodesy ties scavenger injection to gas volume and inlet/outlet H2S readings so dosing is right-sized and proven, not padded.
Dosing against the real load
Scavenger demand is a function of gas rate times H2S concentration. Programs dosed to a fixed litres-per-day figure over-treat when production declines and under-treat when a sour well comes on. Prodesy calculates the treatment PPM from allocated gas production and trends it with inlet and outlet H2S tube readings, per location, so the scavenger program tracks the load.
What Prodesy tracks
- Scavenger injection (triazine or non-triazine) vs target, daily, from telemetry or field reads
- Inlet and outlet H2S (tube or analyzer) per location
- Treatment PPM against gas production
- Scavenger cost ratios per location
- Process variables: temperature, pressure, contact time where recorded
- Inventory forecasting for tote and bulk scavenger
The cost case
Scavenger is often the largest single line on a sour producer’s chemical invoice. A 10% over-dose across a field is real money every month; a spec excursion at the sales point is worse. With inlet, outlet and rate on one chart, the engineer can pull the rate down until outlet begins to move, and the vendor can show the producer that the program is on spec at the lowest justified rate.
Frequently asked questions
Does Prodesy integrate H2S analyzers?
Yes, through telemetry integration. Tube readings taken in the field are entered on Prodesy Mobile.
Can it handle multiple scavenger injection points feeding one sales point?
Yes. Points are mapped to the measurement location and the combined program is evaluated against the outlet reading.
Is it suitable for a vendor running scavenger programs for several producers?
Yes. Each customer’s sites, inventory and readings are separated, with a portal per customer.
See your chemical program in Prodesy
A 30-minute online demo using your injection points, vendors and lab data. You leave knowing where variance and cost are hiding.
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