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OIL & GAS
AI applications designed to operate, certify, and scale, without risks.
Our semantic AI–powered applications are designed to solve the most critical operational challenges in the oil and gas sector, where precision, traceability, and regulatory compliance are not optional.
At Lexica, we developed the EnergyBrain, our semantic model for the energy sector. It natively understands the rules, processes, risks, and data of the energy industry, while explicitly capturing the operational knowledge specific to oil and gas.
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This is not a generic AI layer, it is a model built to understand how the industry actually operates in the real world.
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The EnergyBrain is the foundation on which we build intelligent platforms that enable specialized applications capable of:
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Interpeting operational and regulatory criteria
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Managing risk in a deterministic way
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Unifying technical, operational, and business data
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Operating seamlessly across systems, teams, and processes
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The result: safer operations, more reliable decisions, and scalability without sacrificing control.
Our partners and their customers are already strengthening their operations with semantic AI
INTELLIGENT SUITE FOR OIL & GAS
This suite brings together intelligent applications designed to operate mission-critical oil and gas processes, where high operational complexity and regulatory requirements converge, with direct impact on contractual risk.
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Today, we specialize in Well Testing, one of the most sensitive processes in the sector from both an operational and regulatory perspective, where data quality and real-time decision-making are decisive.
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Intelligent Applications purpose-built for Well Testing:
Trust
Document Certification
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Manages and validates all required documentation before service execution, including personnel, equipment, vehicles, calibrations, insurance, and contractual requirements.
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Controls validtity, consistency, and compliance
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Detects gaps before operations begin
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Issues approved, auditable digital certificates
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Reduces contractual risk and prevents failures before they occur.
Tracker
Data Traceability​
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Ensures full traceability of operational data, from instruments and PLCs through to final reports.
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Validates data origin and transformations
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Guarantees reliable, auditable, and reproducible data
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Meets regulatory and contractual requirements
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Turns operational data into defensible evidence.
Agent
Intelligent Operational Copilot
An expert copilot that analyzes test variables in real time and supports the operations team in making critical decisions.
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Recommends actions during the test
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Responds to technical and operational queries in context
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Records and traces every decision made
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Reduces dependence on scarce experts and accelerates critical decisions in the field.
Designed to evolve:
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The suite evolves as new use cases are introduced across the oil and gas sector,
without rebuilding the underlying technology or breaking existing integrations.
HOW IT WORKS FOR OIL & GAS
Use Case Examples
Application: Trust
Document certification to operate without friction
The Problem
Before starting a Well Testing service, operators must validate dozens of contractually required documents, including personnel, equipment, calibrations, insurance, procedures, and HSE plans.
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In practice, this validation is often handled through fragmented digital repositories (shared folders, email threads, disconnected files), with manual reviews, no reliable alerts, no clear traceability, and no consolidated visibility into approval status.
The Result
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Delays in service start
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Constant rework
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Risk of contractual non-compliance
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Lack of visibility into what is approved, expired, or out of scope ​
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How the Trust application solves it​
Trust automatically reads, validates, and verifies each document against contractual and operational requirements before the service begins.
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The Application:​
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Validates document validity and consistency
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Detects gaps before they become operational blockers
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Maps each document to its corresponding contractual requirement
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Generates a certified digital dossier, ready for approval
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All of this happens before the issue escalates.
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The Impact​
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Frictionless service start
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Lower contractual risk
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Fewer rework cycles and late observations
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Demonstrable, traceable, and auditable compliance
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Trust turns documentation into an operational enabler, not a hidden risk.
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Trust turns documentation into a start condition, not a cause for delay.
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Application: Tracker
Operational data traceability in Well Testing
The Problem
During the execution of a Well Testing service, large volumes of pressure and flow data are generated and captured from instruments and PLCs.
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In many cases:
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Data is consolidated manually at the end of the test
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The exact origin of each measurement is unclear
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There is no record of changes, filters, or adjustments applied
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Traceability is lost between the field, reports, and the contract​
When the operator requests a technical audit, the service provider cannot demonstrate with certainty how the final data was obtained.
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The Result
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Information rework
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Partial rejection of data
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Payment holds
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Loss of technical time and contractual credibility
How the Tracker application solves it
Tracker captures, organizes, and traces operational data from the source to the final report, in real time.
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The Application:
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Connects directly to instruments and PLCs
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Records the exact origin of each data point
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Documents transformations, validations, and events
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Allows manual field observations to be incorporated
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Maintains a complete, auditable history of every measurement​
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The Impact
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Reliable, auditable data in real time
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Elimination of rework caused by technical uncertainty
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Reduced friction with the operator
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Protection of revenue and contractual payments
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Greater confidence in delivered reports
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Tracker turns operational data into traceable evidence, not a contractual point of contention.​​​​​​
Tracker doesn’t just measure correctly. It makes it demonstrable how every data point was obtained. And in Well Testing, that’s what protects the contract.
Application: Agent
Intelligent Operational Copilot for Well Testing
During a Well Testing service, certain abnormal conditions do not present themselves as an immediate failure. Instead, they appear as subtle combinations of signals across measured variables and field observations.
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For example:
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The liquid flow rate measured by the PLC (V1) begins to decrease
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The level observed in the separator (V2) begins to increase
Individually, these signals do not always trigger automatic alarms. However, when evaluated together, they may indicate an early risk of partial or total blockage in the liquid control valve.
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If this situation is not detected in time, the result is:
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Escalation into an operational failure
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Unplanned interruptions
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Loss of visibility into the root cause
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Increased operational and contractual risk
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The Result
The Agent acts as an operational copilot that combines real-time data with human observations to anticipate risks before they materialize.
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The Application:
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Continuously analyzes operational variables captured by the PLC (such as V1)
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Incorporates manual observations recorded by the operator in the field log (such as V2)
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Applies a reasoning model that evaluates the relationship between both signals
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Detects early anomalous patterns that do not trigger traditional alarms
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Actively requests additional input when early symptoms are identified
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Issues preventive notifications and recommendations based on operational context
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When sufficient evidence is available, the Agent can recommend preventive actions, such as inspecting or bypassing the valve, before a blockage occurs.
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The Impact
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Prevention of failures before they escalate
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Greater operational safety during the test
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Better-informed decisions in real time
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Reduced dependence on reactive intervention
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Fewer unplanned events and contractual tensions
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The Agent transforms dispersed signals into timely operational decisions, before risk becomes failure.
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The Agent does not replace the operator. It amplifies their ability to anticipate, decide, and act in time.
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How we get started
We work in a gradual, controlled way, without disrupting ongoing operations.
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1. Exploratory Call
We underastand your process, operational context, and risk points.
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2. Prioritized use case
We identify where value can be generated quickly (documentation, data, or decision-making).
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3. Incremental Implementation
We integrate on top of your existing operation, without replacing current systems.
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4. Measurable results
Lower risk, greater traceability, and more reliable decisions from day one.