• WellLine Overview

    WellLine Overview
    Group 57 Created with Sketch. Timeline See all of the significant events for a well on a common timeline. ConnectionExplorer See how all of the entities (such as wells, people, equipment, etc.) in the graph are connected to one another. Natural Language Generation Our natural language generation methodology acts like translators that converts technical data stored in databases into descriptive events that anyone can read, no data dictionary or SME knowledge required. Extensibility Leverage our API to access WellLine event data and relationships. Build your own custom solutions using our TimeLine Service with your existing systems. Event Extraction and Classification Use and expand upon your existing coding system with new types of events extracted from multiple data silos across your organization. Entity Extraction Extract entities from structured and unstructured data sources.
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  • Our Technology

    WellLine is built from the ground up with connectedness in mind. Our company’s DNA is rooted in knowledge graphs, artificial intelligence, and enhancing decision making.

    We model your business using terms like graphs, connections, entity extraction, and natural language processing, all to produce an asset-focused knowledge graph that can be used to make better decisions about your global operations.

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    Timeline

    Discover operational insights with a holistic view of all well information on the Timeline.

    The life of the well is shown in an easy to digest and understand format by organizing information from multiple sources into a common timeline.

    Timelines contain events mined from private and public, structured and unstructured data sources.

    AI-Driven Well Timeline
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    ConnectionExplorer

    Expose insights from hidden connections in massive amounts of information with ConnectionExplorer.

    The WellLine algorithms scan data to identify mentions of common industry concepts, then links these concepts together in a web of interconnected relationships.

    ConnectionExplorer invites users to explore and interact with these relationships by topic or concept: one well problem leads the user to what may have caused it to happen, other related problems, related vendors, and more.

    Well Data
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    Natural Language Generation

    Understand technical and difficult-to-interpert structured data that is locked away in technical databases with obscure column names and stored in complicated ways.

    Remove the need for users to switch between separate applications to query and understand data.

    The WellLine natural language generation methodology translates technical data into meaningful and human-readable events on the Timeline.

    Natural Language Generation
  • WellLine utilizes a series of Machine Learning algorithms to extract significant Events and Entities from existing private and public data.

    WellLine Entities
    Jean Lithology: Porphyry Chemicals: CH3COOH, CH2O2 Other well production applications Mike Lithology: Ignimbrite Chemicals: CaCO3 OpenWells® Sam Lithology: Diorite Chemicals: HCI WellView® PDF FREE FORM COMMENTS Entities OPERATORS Sam Mike Jean Peter CHEMICALS HCI CaC03 CH300H CH202 LITHOLOGIES Diorite Ignimbrite Porphyry EVENTS 17 July Attempt to slack off - pipe stuck at 12968 Possible Problem - Stuck Pipe: 2004-07-11TT:00000.000Z-> 2004-07-17T00:00:00.000Z Activity - Cementing: 2004-07-11T00:00:00.000Z -> 2004-07-17T00:00:00.000Z Activity - BOP Test: 2004-07-11T00:00:00.000Z -> 2004-07-17T00:00:00.00.000Z 11 July Mix / Pump 405 sx (517 cuft) Prem cement - full retruns 11 July Tested the BOP on 2004-07-13T00:00:00Z. The RAM test pressure was 8500psi and the Annular test pressure was 250psi. Well #22 Well #21
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    Event Extraction and Classification

    See events on the Timeline formed from notes and documents written by drillers, operators and engineers.

    WellLine uses your familiar coding system and expands it by integrating additional, non-coded systems, connecting them together through our holistic history interface and connections based on common industry concepts.

    Event Extraction and Classification
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    Entity Extraction

    Benefit from the millions and millions of connections found between common well concepts like well equipment, lithologies, chemicals, and activities.

    WellLine mines, extracts and indexes the common well concepts from unstructured data sources, enriching millions of comments for a better understanding, and allowing engineers to quickly find items of interest and relationships between concepts in the WellLine ConnectionExplorer.

    Entity Extraction
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    Extensibility

    Solve new problems by extending WellLine via the GraphQL API interfaces and micro- service architecture.

    WellLine Extensibility allows customers to:

    • Integrate WellLine directly into traditional oil and gas applications.
    • Leverage the digital knowledge layer available in WellLine in your own custom applications.
    • Surface important events on the timeline by defining custom event extractors.
    • Surface important entities extracted by WellLine using custom enterprise equipment lists, personnel lists, basins, formations and other entities.
    GraphQL React
  • WellLine Whitepaper

    GraphQL React

    WellLine Solution Brief

    AI Driven Well Timelines for Well optimization

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