Effective and efficient utilization of information for solving unique E&P related data challenges
Wipro HOLMES™ E&P Report Digitization is a cutting-edge solution that utilizes advanced cognitive capabilities such as neural network based OCR, cognitive classifiers and NLP engines, to automate the process of extracting relevant data from E&P reports. It also provides an intelligent interactive interface for analysts, engineers and geoscientists, to effectively utilize the E&P data. It offers access to chronological history of the data leading to better insights and decision-making capabilities in subsurface operations. The solution helps to create a common knowledge base that can be conveniently used to predict events in upstream operations, thereby reducing the overall unit cost of hydrocarbon extraction. Data from documents with varying formats and structures are converted into a structured XML or CSV format, which can be plugged into a corporate or project data store. This helps geoscientists, engineers, and analysts to optimize the extraction of hydrocarbons.
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