• WellLine Overview

    WellLine Overview
    Group 57 Created with Sketch. Timeline See all of the significant events for a Well on a common timeline. Connection Explorer 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 algorithms act like translators that convert technical data stored in databases in to human readable events that describe what happened. Extensibility Leverage our API and the data and relationships available in WellLine to develop your own event and entity extractors. Build your own custom solutions on our micro-service framework. Event Extraction and Classification Extract and classify significant events from drilling comments, structured data sources, documents and sensors. Entity Extraction Extract entities from structured and unstructured data sources.
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  • Our Technology

    WellLine is the first system built from the ground up with connectedness in mind. Our company's DNA is rooted in graph stores, artificial intelligence and machine learning.

    We model your business using terms like graphs, nodes, connections, edges, entity extraction, machine learning and natural language processing, all to produce a WellLine graph that can be used to make better decisions about Oil and Gas operations. Our platform is the first commercial product built on Maana.

  • graph icon

    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
  • connections icon

    Connection Explorer

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

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

    The Connection Explorer allows users to explore and interact with these relationships by topic or concept: one Well problem leads the user to other well problems or related vendors.

    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 algorithms translate technical data into meaningful and human readable events on the timeline alongside other well events.

    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 in the Timeline extracted from free form notes and documents written by drillers, operators and engineers.

    WellLine identifies and extracts significant events from free form text and connects those events to common industry concepts.

    Experts can also train WellLine to recognize events of interest, encoding domain expertise directly in our algorithms.

    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 Connection Explorer.

    WellLine also allows inconsistent data to be analyzed and compared by extracting, converting and normalizing units of measure, like depths, pressures and mud weights.

    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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