Company lists · Data refreshed September 2026
Top 15 Reservoir modeling data companies based in Brazil
RevenueBase identified 39 reservoir modeling data companies headquartered in Brazil as of September 2026 and tracks 397 professional contacts across them, including 82 with verified work emails. Rio De Janeiro is the largest hub.
This list covers reservoir modeling data companies headquartered in Brazil, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 29, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 15 largest reservoir modeling data companies based in Brazil
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 71 contacts → | ||||
Indirect evidence “SimWorx is an engineering company focused on research and development applied to a variety of Industries, addressing the assessment and application of R&D efforts focused on the…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 2 | 29 contacts → | ||||
Indirect evidence “PETREC is a technology-based company, 100% Brazilian, spin-off of COPPE/UFRJ, with headquarters in the Business Incubator of UFRJ, located inside the Technological Park at Ilha do…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 3 | 25 contacts → | ||||
Indirect evidence “LTrace is a geosciences technology company that bridges the gap between sophisticated academic research and the practical demands of the energy industry.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 4 | 20 contacts → | ||||
Indirect evidence “ISDB FlowTech is the legal successor of SINTEF Brasil, carrying out applied R&D projects with ongoing and prospective customers.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 5 | 19 contacts → | ||||
Indirect evidence “Geogin provides software and consulting solutions for E&P companies.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 6 | 16 contacts → | ||||
Indirect evidence “INVISION GEOPHYSICS is a geoscience technology company committed to innovative solutions seeking effectiveness and agility.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 7 | 16 contacts → | ||||
Indirect evidence “Fomos criados parra fornecer soluções em software com inteligência artificial que impulsionarem a eficiência, segurança e sustentabilidade das operações de produção upstream na…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 8 | 11 contacts → | ||||
Indirect evidence “About us In 2018, Kognitus was founded in Rio de Janeiro, Brazil, to facilitate the adoption of AI technologies and accelerate their insertion into the mainstream of subsurface…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 9 | 8 contacts → | ||||
Indirect evidence “A GKF é uma empresa de consultoria em Geologia e Engenharia de Petróleo que se propõe a resolver problemas relacionados ao entendimento de reservatórios de petróleo de campos…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 10 | 7 contacts → | ||||
Partial evidence “DeepSoft develops scientific software for the Oil and Gas industry, specializing in Petrel plug-ins and advanced solutions for Geology, Reservoir Engineering, and Geophysics.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 11 | 6 contacts → | ||||
Indirect evidence “We are a consulting company specialized in the energy industry.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 12 | 5 contacts → | ||||
Indirect evidence “BPS brings together undisputed leaders in the Brazilian O&G industry with a fresh vision for the country’s E&P market.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 13 | 5 contacts → | ||||
Indirect evidence “SOLPE is a technology-based company that provides computational solutions and integrated studies for Oil & Gas Exploration & Production (E&P) activities.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 14 | 4 contacts → | ||||
Indirect evidence “VERTESIS is a young software company that develops innovative solutions to reduce the risk of accidents for the Oil & Gas industry.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 15 | 3 contacts → | ||||
Indirect evidence “The High-Performance Geophysics Laboratory (HPG Lab), located at the Universidade Estadual de Campinas (UNICAMP), is a multidisciplinary group committed to Research, Development &…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
RevenueBase Smart Search
RevenueBase Smart Search assesses information from a company’s LinkedIn profile, information supplied directly by the company, its website, and other publicly available sources. It uses that information to rate how closely the company relates to this list’s category: reservoir modeling data companies. Every row carries its rating and the description the rating was read from, so each one can be checked rather than taken on trust.
- Strong evidence
- The company's own public description of its business names reservoir modeling data companies.
- Partial evidence
- Its own public description names part of reservoir modeling data companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name reservoir modeling data companies. The match rests on the rest of the company's public profile rather than the one sentence quoted here, so this is the rating to check first.
RevenueBase Smart Search is how these lists are built: RevenueBase's data engine and AI assemble the companies that match a category defined in a user's own words, so a list can be about what companies actually do rather than about whichever industry code they were filed under.
Showing 15 of 39 reservoir modeling data companies based in Brazil
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Reservoir modeling data companies based in Brazil at a glance
As of Sep 29, 2026Companies by employee count
Email recency for this list is measured worldwide rather than for Brazil, so it is reported there. Company counts and contact totals on this page are exact for Brazil, over 39 companies.
How this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among reservoir modeling data companies, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase Smart Search, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in Brazil whose own description of what they do matches “reservoir modeling data companies”. Matching reads each company's description, not its industry code or its name.
- RevenueBase Smart Search
- RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names reservoir modeling data companies), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
- What we exclude
- Companies whose own description does not clearly place them among reservoir modeling data companies, and records with no verified work email. Companies headquartered outside Brazil are excluded even when they keep an office there.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and its RevenueBase Smart Search rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 82 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 29, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Frequently asked
What is RevenueBase Smart Search?
RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names reservoir modeling data companies, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.
How many reservoir modeling data companies are there based in Brazil?
RevenueBase identified 39 reservoir modeling data companies headquartered in Brazil as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
Simworx Eng. R&d, headquartered in Campinas, tops this list with the largest team on record.
Which city has the most reservoir modeling data companies?
Rio De Janeiro leads with 19 headquartered companies, followed by Campinas (4) and Aracaju (2).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 82 verified decision-maker contacts tracked across these 39 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 29, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase Smart Search, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.
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