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5 Top Geoscience Technology Startups impacting the Oil & Gas Sector

Curious about new technological advancements in the oil & gas sector? Explore our analysis of 251 global startups & scaleups & learn how their geoscience technology solutions impact your business!

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the oil and gas industry. This time, you get to discover 5 hand-picked geoscience technology startups.

Global Startup Heat Map: 5 Top Geoscience Technology Startups

The 5 oil and gas startups you will explore below are chosen based on our data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. This analysis is based on the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 1.3 million startups & scaleups globally.

The Global Startup Heat Map below highlights the 5 geoscience technology startups & scaleups our Innovation Researchers curated for this report. Moreover, you get insights into regions that observe a high startup activity and the global geographic distribution of the 251 companies we analyzed for this specific topic.

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Who are the other 246 Geoscience Technology startups?

 

Earth Analytics offers AI-based Subsurface Analytics

Seismic interpretation of the subsurface plays a major role in the characterization of reservoir rocks. Startups are automating the process using AI and the Internet of Things (IoT) sensors and devices and then combine them with automation software. This further speeds up the process of interpreting rock types and rock-fluid properties, as well as designing the production strategy.

Earth Analytics is a Norwegian startup offering AI-based analytics to provide data-driven insights into the subsurface. The startup’s cloud-native platform, EarthNET, provides insights to geoscientists and reservoir engineers using the EarthAI module. The module integrates well-to-seismic data, seismic labeling, ASI, and visualizations. In this way, the startup enables oil & gas businesses to create and update subsurface models with increased precision and efficiency.

Enlighten Geoscience enables In-Situ Stress Determination services

Prior to drilling in exploration wells, it is necessary to determine the in-situ stresses and their causes in subsurface rocks. This helps geoscientists understand the complex geological environments and mitigate the risks arising from drilling and production. For example, startups enable measurement-while-drilling (MWD) and logging-while-drilling (LWD) to help engineers analyze geomechanical properties in real-time.

Enlighten Geoscience is a Canadian startup providing geomechanical analytics for oil & gas companies. The startup offers services to analyze in-situ stress using, for example, rock properties and pore pressure determinations data. This allows drilling and completion engineers to gain insights into caprock, natural, and hydraulically-induced fractures. The startup also overcomes the risks associated with sand production, as well as reservoir and well collapse, during the production phase using advanced geoscience analytics.

Iraya Energies provides Reservoir Image Classification

Machine learning (ML), along with computational and statistical methods, find diverse applications in geosciences and remote sensing. Image recognition algorithms allow geoscientists to slice through the reservoir and visualize various faults and folds. This enables oil & gas companies to classify and determine rock properties with intelligent reservoir characterization, reservoir mapping, and seismic data processing.

Singapore-based startup Iraya Energies offers the ElasticDoc Intuitive Knowledge Container, a cloud-native ML software for geoscience applications. The startup’s solution is pre-trained on large data repositories and offers valuable insights from unstructured and structured data. The startup’s solution speeds up reservoir image classification using seismic volume slices, time-series data, maps, and core images.

Stratum Reservoir develops Geochemical Analysis Software

Geochemical properties play a major role in determining the rock-fluid properties of the reservoir rock. O&G startups employ a wide range of methods, including X-ray crystallography, electron microbeam elemental analysis, mass spectrometers, micro-imaging instruments, and surface spectroscopies to determine mineral concentrations in rocks. With these tools, geochemical analysis facilitates drilling planning, fracture fluid design, and enhanced oil recovery.

Stratum Reservoir is a US-based startup developing software, instrumentation, and enhanced deliverables for reservoir characterization. The startup provides a Geochemical Web Information System (GWIS) for importing, storing, and exporting fluid and rock geochemical data. The startup also offers OilUnmixer, a geochemical software to help geoscientists and engineers determine the contribution of individual production streams to a co-mingled production stream.

Data Cloud creates Geoscience Data Visualization

Geoscientists use data visualization and interactive analytics to derive insights from reservoir topography and subsurface conditions. Startups are working on quantitative and qualitative visualization solutions using geoscience data. These solutions help engineers interpret cross-bedded relations of subsurface rocks and perform bathymetric studies.

Australian startup Data Cloud provides cloud-native frameworks to the field of geoscience. The startup’s products enable geologists and engineers to visualize operational data for real-time insights. The startup’s solutions enable the digital transformation of O&G and mining companies by digitizing and automating the field processes.

Discover more Geoscience Technology startups

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