Innovation Program for the Oil and Gas Sector
RESEARCH LINES
The laboratory's research lines are strategic themes to guide the structuring of projects and are based on bottlenecks and innovation opportunities in the sector's production chain.
Unlike a closed-scope challenge, the research lines represent fields for investigation and development of new solutions. Therefore, participating startups have the autonomy to define the scope, technology, and expected results of their projects.
Explore the program's research areas, identify those that connect with your startup's expertise, technologies, and skills, and prepare to structure an R&D project for the oil and gas sector.
01
Low-cost seismic sensors for remote environments.
Related pains:
High cost of seismic studies;
Complexity in remote areas.
Technologies such as:
Smart sensors, IoT, mesh networks
02
AI solutions to generate more accurate predictive models of reservoirs.
Related pains:
Limited modeling;
Decentralized data.
Technologies such as:
Machine learning, big data, cloud computing
03
Robots that perform repetitive or dangerous tasks in the drilling process.
Related pains:
Operational risks;
Long drilling time.
Technologies such as:
Robotics, computer vision, embedded AI
04
Systems that anticipate failures and recommend maintenance actions.
Related pains:
Unexpected stops;
Inefficient maintenance.
Technologies such as:
Machine learning, IoT, digital twins
05
Mobile or local solutions for printing and replenishing critical parts on demand.
Related pains:
Lack of spare parts;
High logistics costs.
Technologies such as:
3D printing, additive manufacturing.
06
A system of interconnected smart sensors for continuous monitoring and diagnostics of equipment.
Related pains:
Lack of monitoring;
Asset integrity.
Technologies such as:
IoT, edge computing, LPWAN networks
07
Technologies that increase the enhanced oil recovery factor in mature wells.
Related pains:
-
Natural decline in production.
Technologies such as:
Nanotechnology, reservoir engineering, applied AI.
08
Simulators and immersive training to empower teams in remote areas.
Related pains:
Shortage of qualified professionals;
High mobilization costs.
Technologies such as:
Virtual/augmented reality, gamification.
09
Replacing high-risk human tasks with autonomous systems.
Related pains:
-
Operational safety; staff shortages.
Technologies such as:
Robotics, drones, computer vision, AI.
10
Blockchain solutions for the traceability of critical data.
Related pains:
Legacy systems;
Poor integration.
Technologies such as:
Blockchain, cloud, APIs.
11
Predictive analytics to anticipate failures and maintain asset integrity.
Related pains:
Integrity issues;
Undetected faults.
Technologies such as:
AI, vibration analysis, operational data.
12
Solutions to reduce consumption in drilling, production and compression.
Related pains:
-
High energy consumption.
Technologies such as:
Energy efficiency, sensors, AI, automation.
13
Biodegradable products to replace current ones in drilling/cementing.
Related pains:
-
Environmental impacts of chemical inputs.
Technologies such as:
Green chemistry, biotechnology.
14
Mobile or integrated systems for water reuse, reinjection, or desalination.
Related pains:
-
Costs and impact related to produced water.
Technologies such as:
Membranes, advanced filtration, automation.
15
Digital waste management to track and optimize waste treatment and disposal.
Related pains:
Inadequate treatment;
Disposal costs.
Technologies such as:
IoT, digital tracking, analytics.
16
Interactive software for analyzing underground structures.
Related pains:
-
Limitations in geological models.
Technologies such as:
3D visualization, augmented reality, geoprocessing.
17
Centralized environments for integrating sensors, production, and maintenance.
Related pains:
Scattered data;
Integration failures.
Technologies such as:
Cloud computing, API integration, data lakes.
18
Automation of regulatory report generation.
Related pains:
-
Slowness and manual effort in report writing.
Technologies such as:
RPA, OCR, AI.
19
Continuous monitoring of by-product quality.
Related pains:
Lack of reliable data;
Environmental compliance.
Technologies such as:
Sensors, spectroscopy, embedded AI.
20
Solution for predictive analysis of failures in production processes.
Related pains:
Unexpected shutdowns due to operational failures;
Low adoption of emerging technologies in the field.
Technologies such as:
Machine learning, predictive analytics, IoT sensors, digital twins.
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