Latin American Petroleum Company Reduces Emissions 3% and Produces 548 More Barrels Daily with MPC
A documented Process Optimization in Energy & Utilities deployment at Anonymous Latin American Petroleum Company, with source-attributed results and missing evidence labelled explicitly.
Evidence at a glance
- Evidence status:
- Automated evidence gate passed
- Deployment timeframe:
- Not reported by source
- Reported outcome metrics:
- 2 cited below
- Directory entry published:
The source-link check confirms reachability, not independent re-verification of every claim.
Source-reported figures — cited source: rockwellautomation.com
The Challenge
A leading Latin American petroleum company needed to improve water injection management to increase oil recovery. Instability in water transfer and injection processes caused injection or transfer pumps to shut off completely during operational disturbances, leading to significant oil production losses. No control loops were in place despite a high level of automation.
The Solution
Rockwell Automation implemented a Model Predictive Control (MPC) solution to increase water injection, reduce variability of injected flow, reduce energy consumption, and create a stable system. The solution managed the complex relationship between water injection rates and oil production.
Results
Energy consumption was reduced by 3% and the company now produces 548 more barrels of oil per day. The water transfer and injection process became stable, eliminating the costly shutdowns that previously occurred during operational disturbances.
Key Takeaways
- MPC technology can simultaneously optimize multiple process variables including water injection stability and energy usage
- Addressing process instability in water injection directly unlocks incremental oil production without new wells
- A 3% energy reduction at this scale translates to significant emissions and cost savings
Vendor
Details
- Industry
- Energy & Utilities
- Use Case
- Process Optimization
- AI Technology
- Predictive ML
- Company Size
- Enterprise
- Company
- Anonymous Latin American Petroleum Company
- Evidence status
- Automated evidence gate passed
- Deployment timeframe
- Not reported by source
- Directory entry published
Cited source
rockwellautomation.comHave a similar implementation?
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