Oil & Gas
Oil & gas asset teams make better decisions when armed with complete and accurate data.
The i2k AI Platform delivers a new information discovery experience that enables oil and gas asset teams to make better decisions.
Information, much of it contained in disparate types of documents, is the foundation of the oil & gas business. i2k Connect streamlines data management and improves operational efficiency by automatically classifying information across upstream, midstream, and downstream into relevant disciplines, taxonomies, and LLM models. In upstream, for example, basins, fields, and formations are recognized by the i2k AI Platform, and files are classified into relevant taxonomies. For example, a search of the Society of Petroleum Engineers (SPE) Technical Disciplines would return records associated with exploration and production data, and drilling events that can impact safety and productivity.
The i2k AI Platform simplifies oil and gas data management, delivering a new information discovery experience that helps asset teams make better decisions.
The innovative i2k engine automatically and consistently tags well files and technical documents with oil and gas concepts and geotags that best describe the content.
Upstream oil & gas knowledge
100,000 basins, fields, wells, and formations
With EnRG-LLM, access to 300,000+ SPE papers.
More than a million relevant natural language terms that enable classification of files into 15 taxonomies, including the SPE Technical Disciplines and customer-supplied taxonomies
19,000 natural language terms to recognize and extract data from well files, including daily drilling reports, end-of-well reports, DLIS, LAS, and LIS files
More than 10,000 natural language terms to recognize events that impact operations and supply chains, including 12 types of adverse drilling events, including lost circulation and stuck pipe
Natural language knowledge, like parts of speech, and what constitutes a good keyword phrase (called a “concept tag” in the i2k Platform)
Knowledge of how to recognize and interpret tabular data in PDF and other file formats
Knowledge of how to extract data points from sentences
Knowledge of how to identify document titles
Knowledge of how to read and summarize log data files (LAS, LIS, DLIS)
