Geography influences all aspects of an oil and gas company's work—from locating and extracting new resources to improving field management and ensuring HSE compliance. Advanced mapping and spatial analytics reveal deeper insight into relationships and patterns, answer complex questions, and help users make informed decisions.
o Combine powerful built-in tools with machine learning and deep learning frameworks
o Use machine learning and artificial intelligence (AI) to train and inference
o Use state-of-the-art algorithms to make data-driven decisions.
o Produce machine learning models by incorporating spatial-infused algorithms.
o Find natural clusters based on spatial distribution and attribute similarities.
o Classify and analyze remotely sensed data.
o Combine data sources, formats, and scales to train powerful spatial prediction models.
Esri’s ArcGIS software and apps combine mapping and data analytics to deliver location intelligence and meet digital transformation needs for organizations of all sizes. Connect the seemingly disconnected with the most comprehensive set of analytical methods and spatial algorithms available. Use location as the connective thread to uncover hidden patterns, improve predictive modeling, and create a competitive edge. Leverage the power of spatial analysis and data science on demand and at scale with the Esri Geospatial Cloud. Find out more at: https://www.esri.com/en-us/arcgis/products/spatial-analytics-data-science/capabilities/machine-learning-ai