this article is kept for reference but some of the links may no longer work - please search for the topic in the Spotfire community or ask a question in the forum
TIBCO Systems of Insight for Energy
TIBCO's Systems of Insight strategy features interconnected data, systems, and analytics, that enable the analyst and manager experience. From upstream exploration and production surveillance to midstream supply, downstream refining, smart power grids, and utilities, our solutions interconnect data and augment intelligence to surface smart analytics and optimize business operations
Our platform combines TIBCO Spotfire®, TIBCO Statistica®, and TIBCO StreamBase® for visual, predictive, and streaming analytics; along with TIBCO Enterprise Message Service, TIBCO BusinessWorks and TIBCO OpenSpirit® for messaging and integration, including data connectors for specialized data sources in the energy sector; and TIBCO tibbr® for collaboration and crowdsourcing throughout field and management teams.
Tuesday, December 12, 2017
MORNING GENERAL SESSION
Michael O'Connell - Chief Analytics Officer, TIBCO. Michelle Lacy - Biotechnology Data Strategy Lead, Monsanto. Murray D. Rode - Chief Executive Officer, TIBCO. Matt Quinn - Chief Technology Officer and EVP, TIBCO. Kim Hightower - Director of Enterprise Accounts, TIBCO. Chad Loesel - Staff Drilling Engineer, Anadarko. Eric Keister - Advanced Analytics & Emerging Technologies - Lead Business Strategist, Anadarko. Dingzhou Cao PhD - Staff Data Scientist, Anadarko. Theo Kambouris - Regional Director, Mongo DB. Troy Ruths - CEO, Ruths.AI
BUSINESS TRACK
Optimizing Financial Performance through Plant Maintenance Scheduling
NRG focuses on maintaining safe and reliable equipment to support plant operations and financial performance. Scheduling equipment maintenance and outages during periods of low-margin power generation is part of this effort, which starts with an economic evaluation using Spotfire. In addition to project information, historical and forecasted market pricing data serves as a guide for planning. Using Spotfire, we will demonstrate a few examples of combining lost margin analysis and historical maintenance spending to plan outages with the aim of translating operating performance to profitability. Joe Dominic, Director, Business Operations, NRG Lucas Fontenelle, Senior Analyst, Business Operations, NRG
Download the presentation from the Resources below.
Power to the People! Establishing a Data-driven Culture at Apache Corporation
Apache corporation, an 60+-year-old oil and gas exploration company, began its transformation into a 'data-driven' enterprise in 2016. This effort brought thorough examination of all aspects of definition, storage, integration and delivery of business data to align it with the company's mission - a mission that has changed in many ways in recent years. As part of this process, Apache introduced the DataNOW program - a series of offerings designed to broaden the use of visualization and data discovery company-wide, from field personnel to the executive suite, driven by the TIBCO Spotfire analytics suite. In this discussion, Apache will describe the stages of the overall data ?re-architecture?, the innovations delivered to the company via Spotfire, and the revelations that can come from 're-thinking' data in a '60-year-old startup' company. Travis Osborne, Director of Information Management, Apache Mark RItch, Manager of Business Intelligence, Apache
Viral Spotfire: Growing and Maintaining Analytics at LINN Energy
Spotfire is integral to LINN Energy's self-service analytics platform. Does your company struggle to gain user adoption of Spotfire? We will discuss how LINN took Spotfire from a rarely used application to a viral BI solution that is now utilized companywide, from IT to Operations to Finance. We will also cover the key drivers to consider when building out analyses for mass consumption and show examples of some of the core analysis utilized at LINN. Audrie Luna, Business Analyst, LINN Energy
Download the presentation from the Resources below.
TECH TRACK
Using Spotfire as a One Stop Shop for Evaluating Performance Trends in the Unconventional Space
Evaluating an unconventional play involves careful management of large datasets and often several software suites to answer the host of questions that arise. By combining the interactive visual capabilities of TIBCO Spotfire with Iron Python and TERR, Chevron has developed an application designed to tackle this challenge, specifically in the Permian Basin. This presentation will cover several app use cases and highlight key features including decline curve analysis, spatial interpolation, and data distribution assessment. Calvin Caraway, Reservoir Engineer, Chevron
AUTO-DCA, Faster DCA, and Intuitive Analysis
Fitting production history with traditional Arps? equation or any other decline curve analysis (DCA) method is a well known approach. The result of DCA combined with completion and geological data can reveal many insights. However, this is monotonous and time-consuming when repeated for more than 100 wells. Typically, a manual workflow starts by collecting daily/ monthly production data, selecting the DCA method and changing b and d factors to fit the history data. This process results in significant burden on an engineer's time - taking about 10 min per well and 1 week for 100 wells. Using AUTO-DCA TIBCO Spotfire enhanced visualizations and TIBCO Enterprise Runtime for R (TERR), an entire DCA analysis can be generated in minutes for 100 wells. This provides unprecedented evaluation of production and reservoir performance for the field, connecting dots and correlating cross functional information to optimize well and fracture spacing. Gustavo Carvajal, Sr. Reservoir Engineer, BP-America Brent Haas, Vice President of Engineering, R. Lacy
Spotfire Data Functions and Hadoop: Dynamic GeoSpatial Models from .LAS Files Using Hortonworks, R/TERR, and Spotfire
The Data Integration and Analytics team at XTO Energy in coordination with Hortonworks and ExxonMobil developed a Hadoop data source containing XTO's.LAS files originally stored in network folders. This combined effort created single data source for all wireline measured data in .LAS format that is easy to query. Using existing Hortonworks processes and Hadoop's capabilities, XTO combined Spotfire and TERR to dynamically generate queries on the Hadoop dataset returning insights to the organization in seconds instead of hours. Combining .LAS data with XTO's interpreted tops also led to daily generation of predefined variable for more robust spatial analysis. Manny Rosales, Data Analytics - Team Lead, XTO Energy Inc.
Download the presentation from the Resources below.
APPS TRACK
7 Steps to Maximizing Production with Spotfire and Statistica
We discuss sustainable analytics and data governance for E & P operations. In particular, we maximize the cumulative production of wells that are fractured. We use the PPDM data model for the integrated database and initially specify the data source systems and load interfaces (ETL). We subsequently characterize and clean the data prior to analysis. We use TIBCO Spotfire and TIBCO Statistica to create stable models for predicting wells for maximizing production; and results are fed to Reservoir Engineering specialists for implementation in the field. This interdisciplinary team is able to process a large amount of data for optimal effect and value generation. We illustrate the methodology, analytics and results using data from an operating oilfield as a pilot. Danny Stout , TIBCO Catalina Herrera, TIBCO
Delivering Value to Chevron Downstream & Midstream through Better Insights
The use of Spotfire in Chevron's Downstream and Midstream businesses has grown exponentially in the past few years. The visualization and modeling capabilities of Spotfire has led to additional insights and resulting value. In this presentation, we will share the modeling and analytics approach, highlight a few of the Spotfire dashboards and show demonstrations of two of the modeling applications. Steven Boyd, Global Advisor - Supply & Transport Raw Materials Processes, Chevron
Increased Transactional Data Mining Drives Decision-making in ConocoPhillips' Supply Chain
Supply Chain Integrated Visibility (SIV) is a new reporting solution helping ConocoPhillips' Supply Chain function focus less on finding and curating data and more on data-driven actions. SIV uses Spotfire to easily visualize transactional data and empower users to analyze relevant business information. SIV places an emphasis on creating Spotfire dashboards which are reactive, easy-to-use, and intuitive for individuals with varying levels of Spotfire skill. This presentation demonstrates some of the key visualization features and change management tactics deployed by SIV to shift the approach from traditional business reporting to Spotfire dashboard usage for production and consumption of business information. Neha Reddy, Analyst, Automation & SIV, ConocoPhillips
TIBCO OPENSPIRIT TRACK
What's New with TIBCO OpenSpirit®
A review of new capabilities released in the past 12 months and a description of the new strategic partnership with Bahwan CyberTek (BCT). Clay Harter, CTO, Bahwan CyberTek Synchronizing Studio Repositories A composite customer case study describing the challenges of keeping Studio repositories in synch and a solution that uses new capabilities in Copy Manager that allows one to preserve Studio uniquid ids and custom folder structures. Todd Broussard, Sr Solutions Consultant, Bahwan CyberTek
A New Approach to Well Mastering
A customer case study that describes a process to merge multiple source systems, with inconsistent data, into a single well master and then being able to propagate this high quality data back to subscribing working projects. The solution presented uses a combination of Geodatafy , OpenSpirit, EMS, Patterns and OpenSpirit Connect. Clay Harter, CTO, Bahwan CyberTek
Geodatafy - An Enabler for a Digital E&P Business
An overview and demo of a new framework for registering, finding, managing and using subsurface data. This new framework uses a modern web user interface to allow users to easily find structured and unstructured data across the enterprise and then to visualize the selected data or make it available for use in other geoscience and engineering applications. Todd Broussard, Sr Solutions Consultant, Bahwan CyberTek
Importing Bulk Data into TIBCO Spotfire®
The OpenSpirit Extension for Spotfire has the ability to import seismic trace data and horizon grids into Spotfire. This presentation reviews how to do this and how Spotfire may then be used to analyze and visualize this data in conjunction with other information. Matt Kulow, Senior Solutions Consultant, Bahwan CyberTek
AFTERNOON GENERAL SESSION
Michael O'Connell - Chief Analytics Officer, TIBCO. Catalina Herrera - Sr Solutions Consultant, TIBCO. Peter Shaw - Staff Data Scientist, TIBCO. Danny Stout - Pre-Sales Professional, TIBCO. Brad Hopper - VP Product Strategy, Augment Intelligence, TIBCO
Wednesday, December 13, 2017
SPOTFIRE TRAINING
TIBCO Spotfire Introductory to Intermediate training
Learn what it takes to create a dashboard from a dataset. You'll understand how to access data, build visualizations, and polish your analysis. Along the way, we'll explore adding multiple data tables, creating calculated columns, incorporating custom expressions, and using text areas to guide your users, all with the goal of creating a logical and useful, interactive dashboard. The Introductory to Intermediate training session will be given by Ryan Elizabeth Anson, TIBCO.
TIBCO Spotfire Advanced training
Spotfire is a powerful tool for exploratory data analysis (EDA.) Learn how to make discoveries in your data by leveraging Spotfire's built in capabilities and extending Spotfire with R. We'll look into univariate and bivariate patterns, and understand how to train, predict, and validate a multivariate model. The Advanced training session will be given by Troy Ruths, Ruths.ai.
OPENSPIRIT TRAINING
SPOTFIRE HACKATHON
Try your hand at a 2-hour guided Spotfire hackathon aimed at use cases relevant to problems in the energy industry. Topics will include geospatial data exploration, machine learning, production data analysis, and much more.
Prerequisites: Basic Familiarity with Spotfire, but hints and resources will be provided along with the rich online community support will benefit users across all skill levels. Thus, everyone is encouraged to participate.
Visit the Spotfire Hackathon page for Hackathon summary and solutions
Learn and do more
In this Spotfire Community:
- View the Energy Solutions page
- Spotfire Community Product Home Page: The starting point for an extensive, growing collection of linked Wiki pages covering all things Spotfire. Links to comprehensive, current information on these Main Topics landing pages: Getting Started, Data Access and Wrangling, Visualizations, Maps, Advanced Analytics, Applications, and Vertical Solutions, Extending Spotfire, Administration, Partners, and How to Learn more.
- Statistica landing page on the TIBCO Community
- Download Energy templates and accelerators from the Community Exchange
- Submit Product Suggestions
Download the Spotfire Energy Solutions templates datasheet from the Resources below.
Partners
TIBCO Solution Partners are an important part of our ecosystem to help you be successful with our products and to help complement our company with vertical industry and technical expertise. For more information on Partners in the Energy space, visit the Spotfire Partners page on spotfire.com
Attachments
xto_hef_2017.pdfnrg_hef_2017.pdfds-spotfire-energy-templates-final.pdf
Recommended Comments
There are no comments to display.