Asset aware search across corporate DB

This description is focused on Energy Components DB, but principles are universal and similar agent can be deployed on any other SQL, Oracle, Postgre DBs.

Asset teams spend hours manually extracting and cross-referencing data from the EC database. Requests to IT, exports to CSV, and analysis in Excel are the norm, diverting valuable engineering time from critical thinking and decision-making.

EC Retriever is an LLM-powered assistant which knows asset’s context, understands your natural-language questions and delivers answers directly from the production database in minutes.

 

EC Retriever Agent Can:

• Extract production and injection time series for any selected well, field or asset 

• Compare injection targets and actual rates and show underperformance periods 

• Identify and summarize deferment events, durations, and lost volumes 

• Retrieve well status history (OPEN / CLOSED / CLOSED_LT) 

Cluster Operations Lead

Field Supervisor calls: "Platform ABC oil rate dropped 15% since Friday - what's going on?" 

You need to check: Which wells dropped? Any status changes? Any deferments logged?

Production meeting in 2 hours: Leadership wants to know Q3 deferment impact across your asset 

You need to pull: Total deferred volumes by cause, by platform, by month

Planning team asks: "Can Well A-07 handle increased gas injection, or will it cause issues like last time?" 

You need to review: Historical injection vs. targets, production response after previous injection changes

Production Technologist 

You rely on PI ProcessBook and excel, but it can't answer deeper questions:

"Why is Field X underperforming this month vs. last month?" - PI shows current rates, but you need historical comparisons across multiple wells and time periods.

"Which wells are consistently injecting below target, and what's the cumulative shortfall?"  - PI shows actuals but doesn’t have target rates to evaluate deviations over weeks/months.

"What was the production impact of that 5-day compressor shutdown in July?" - PI doesn't correlate deferments with lost production volumes - you build that analysis manually.

Tangible Business Impact

-10x Faster Answers: Get responses to ad-hoc data questions in minutes, not hours or days.

-Boost Engineering Productivity: Reduce manual data tasks (exports, charting) by 30-50%, freeing up time for high-value engineering work.

-Data-Driven Decisions: Empower all team members-including non-SQL experts and planners-with immediate, accurate data access.

-Smarter Dashboards: By monitoring the most common queries, we can identify and automate recurring requests into standard production dashboards for everyone.

Deployment & Time-to-Value

3-4 weeks: Connecting agent to DB, depending on volume data and scope of preprocessing (cleaning)