ELASTICDOCS
ElasticDocs is an intuitive container for automated information retrieval on voluminous, unstructured geological documents. It is a machine learning-enabled platform with a hybrid cloud architecture, that automatically reads and understand huge amount of technical documents with little human supervision.
ElasticDocs specializes in the handling of geological documents such as pdf, doc, docx. It converts unstructured information into structured information through carefully selected sequences of machine learning algorithm such as Optical Character Recognition (OCR) for digitalization, Natural Language Processing (NLP) for contextual understanding and full text search, and Deep Convolutional Neural Network (DCNN) for autoimage classification of multiple image classes, including seismic, thin sections, and cores, among others.
It is also equipped with GIS layers to geolocate information and provide understanding on the availability, or scarcity of information, within a particular area.
ElasticDocs is particularly designed to enable geoscientists to browse through thousands of pages of reports in seconds, and find geological analogs thru sophisticated, pioneering search-and-cluster techniques engineered by Iraya’s team of machine learning specialists and earth scientists.
On top of a bundle of sophisticated algorithms, ElasticDocs is built with interactive, user-friendly interface that brings the value of machine learning to the oil & gas industry, as a functional and web-based software, that can be accessed by multiple users, anytime, anywhere.
Microservices
Its microservices architecture also allows users to build extendible API on top of the ElasticDocs platform, so that each functionality, current and future, is practically its own separate apps.
Spend less time searching, with ElasticDocs.
More time, revealing the unseen.
Iraya's ElasticDocs allows for global elastic text search in a corpus of well reports, making it much easier to find information like: Which wells contain sandstone? What depth is this formation?
Hybrid Cloud Architecture
The ElasticDocs platform utilizes a hybrid data service architecture that is flexible, and allows it to be installed in a fully-cloud, fully on-premise, or a hybrid environment - as our client, the choice is yours.
Hear more about ElasticDocs, as we discussed it at the FORCE Machine Learning Symposium 2018 in Stavanger, in the video here.
Let your well and seismic reports talk to you
We perform the following:
Digitization by Optical Character Recognition (OCR)
Well or Seismic Reports PDF-to-Text Conversion by Batch
Automated Image Extraction
Unsupervised and Supervised Image Classification
Enable ElasticSearch (Intra- and Inter-document Search)
Custom-made Search Engine
Distribution Analysis of Extracted Images from Well Reports