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TIBCO Energy Solutions

TIBCO Spotfire®TIBCO® Streaming TIBCO® Data Science

By:

atheeralattar

Last updated:

10:54am Apr 28, 2022

#Energy

#Energy Industry

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Benefits of Digital Transformation and Applied Data Science for the Energy Sector

Why are so many energy companies determined to digitally transform? Because modern companies cannot improve margins, grow profits, or beat their peers without gaining insights from their data. To get the full benefits from data, they must transform every business function—from analytics to operations to marketing.

TIBCO Predict: Analytics Capabilities for Energy

Energy is a digital business and top to bottom, TIBCO plays across the spectrum with its analytics and integration software solving the most complex industry problems with applied Data Science

Data science is a team sport. Data scientists, citizen data scientists, data engineers, business users, and developers need flexible and extensible tools that promote collaboration, automation, and reuse of analytic workflows. But algorithms are only one piece of the advanced analytic puzzle. To deliver predictive insights, companies need to increase focus on the deployment, management, and monitoring of analytic models. Smart businesses rely on platforms that support end-to-end analytics lifecycle while providing enterprise security and governance. TIBCO® Data Science software helps organizations innovate and solve complex problems faster to ensure predictive findings quickly turn into optimal outcomes.

Upstream

In terms of generating value at the Reservoir, TIBCO Analytics is across the spectrum from where to drill, how to optimally complete, and how to operate.

Examples of applied Data Science using TIBCO:

TIBCO Real-Time AI Completions Solution - Sharp insights to your completions tasks

Summary and Objective: We worked on this solution along with TIBCO partner Rivitt, the main goal of the solution is to provide an end to end solution for well crews and engineers to examine and monitor the real time completion data (streamed live from the wellpad) and also to perform some data analysis tasks. In this solution Rivitt will perform the data collection from the wellpad sensors, aggregating it and connecting it to TIBCO data streams, where we connect to that resource from Spotfire. We also have TDV data source in order to write data back from the Spotfire dashboard.

Application landing page sections:
- Overview: An overall glance for all the operations, quick KPIs and locations of the current active operation. This page also serves as a daily automated report to the management.
- Treatment Plots (LIVE): Shows a live view for the treatment plot in addition to the current operation important parameters and activity
- Wireline and Coiled Tubing: Shows the Wireline jobs history on the wellpad in addition to the Coiled tubing jobs.
- Pad Metrics: A cost and time analysis per well and per stage over time, this section provides a clear comparison across the wells and within one well. It also gives a summary about the resources utilization
- Stimulation Response: We used some unsupervised learning here performed using TDS to provide an estimate for the formation breakdown pressure and shut-in pressure.

Click here to visit the demo dedicated page

Team Presentation to Completion Demo in Energy TechNight, Houston TX (Feb, 2022)

Value at the Reservoir

The number of data scientists in reservoir characterization teams continues to increase, but most of their work is oriented to predicting rock properties, fluid patterns, reservoir quality, production, and well performance. However, to analyze the data and accomplish their goals, they must spend a lot of time conditioning the data, interpreting logs, correlating wells, mapping structures, and generating seismic properties to get the attributes that will then be used to train predictive models, run classifications, and uncover hidden patterns.

In this video (3:32) you will see TIBCO Spotfire examples for:

• Deep Learning when analyzing Seismic data for reservoir characterization
• Example of Drilling and Completions
• Example of Halo Analysis
• Example of Petrophysical Analysis

Value at the Drill

Get analytics right at the point of the drill bit and understand how to monitor the actual well path.
Real-time determination of the best yet to drill path.
Understand the state of your bit and bit wear.

In this video (1:45) you will see TIBCO Spotfire examples for:

• Example of IIoT at the edge
• Analytics for an Edge: Optimizing Operations in the Energy Sector

Value at the Well

Get the most out of assets!
Production Surveillance, Data Operations, Model Inference, Asset Management.

• TIBCO Spotfire for Well Engineering and Drilling Operations

In this video (1:46) you will see TIBCO Spotfire examples for:

• Example of IIoT at the Core
• Streaming Oil Well Equipment Surveillance Dashboard Example

Downstream

Examples of applied analytics using TIBCO Spotfire:

Value at the Grid

Operations Analytics in the Cloud
• Smart Grid/Surveillance.
• Alternate Energy Initiatives.
• Portfolio Operations - Trading and supply chain.

• TIBCO Spotfire in Energy Trading
• Endesa Transforms with TIBCO for the Digital Energy Era

In this video (0:49) you will see TIBCO Spotfire examples for:

• Example value on the grid

Peek into your historian data in seconds

Accessing your OSIPI Data is pretty straightforward in Spotfire utilizing the power of OSIPI Connector in Spotfire. Using Asset Framework (AF) users can quickly build custom and complex queries without leaving the application. These connectors promotes Spotfire custom expressions to produce a highly customized and condition based queries.

- Watch this episode of Dr. Spotfire to know more about how to access OSIPI Data in Spotfire.

- Read this community page that walks you through the OSIPI connection in Spotfire

and here is a Spotfire demo shows how easy is to interact with OSIPI and build queries.