Implementing production optimization software involves connecting operational data sources, configuring wells, validating system performance, and preparing teams to use optimization recommendations.
This guide outlines the four key steps in the onboarding process, helping operators understand what to expect when deploying AI-powered production optimization technology.
Before a contract is finalized, we work with your team to confirm a few foundational items:
This step is about confirming that the required data exists. We use streamlined pre-documentation templates to keep things efficient and focused, so by the time the agreement is signed we’ve already aligned on the critical technical requirements.
Once the deal is signed and IT requirements are complete, we hold a planning session. This is not a full kickoff, but rather a coordination meeting designed to:
After this session, we provide:
At this stage, our Implementation and Integration teams will work with your team to get Ambyint on your wells.
An important step in the process is configuration within your SCADA system. To enable data transmission to Ambyint, your team will complete configuration work on your side.
Once configuration is complete and data begins to flow to Ambyint, we are then able to validate the incoming data and confirm the data reflects operational expectations. Regular integration meetings may occur during this phase, depending on the customer’s needs and preferences.
After data validation is complete, we conduct a writeback test to confirm that communication systems are functioning properly, completing the end of the integration.
Typically 2-4 weeks. Integrations timelines vary depending on how configuration work can be completed on the customers side.
Getting started with Ambyint can be defined by the following sequence:
From the first planning session through writeback testing, our team works alongside yours to ensure a smooth transition into autonomous well control.
For more information on AI and Production Optimization, visit our Production Optimization Resource page.