We think you have liked this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you!
Presentation is loading. Please wait.
Published byRoy Futrell
Modified over 2 years ago
© Chevron 2005 Improving Team Collaboration with Rapid Visualization and Analysis of Key Data Project Team: - Steve Rees, Chevron - Bruce Grant, Chevron - John Holmes, Chevron - Pam Howlett, Chevron - Alicia Seward, Chevron - Troy Ruths, Chevron Contract - John Pederson & Jeff Mathews, Chevron
© Chevron 2005 Agenda 2 General Field Overview Current State, Target Workflows, Future State Project Development What is iRAVE? iRAVE Demo Challenges, Lessons Learned, Best Practices Go Forward Plan Conclusion Q&A
© Chevron 2005 General Field Overview 3 Large offshore oil field -> expected recovery >1B bbls Multi-layer reservoirs; multiple blocks; water & gas injection operations; artificial lift Mature field; balancing multiple field constraints Production, water & gas injection, overboard water Voidage replacement/minimum pressure requirements Limited well slot capability; dry tree & subsea Ongoing base development activities and new growth opportunities; additional 20-40 year field life Non-operated partner; limited staff working multiple projects Significant non-discretionary activities; data management challenges
© Chevron 2005 Current State Inefficient Data Management and Analysis 4 Data sent via email, eQuest, CD and ftp site in form of daily production and drilling reports, presentations & reports, OFM data, log data, etc. Information/documents then saved to our shared drive, while OFM and daily production report data is loaded into ppdm database Individuals access and manipulate data as they see fit and save back to shared drive OFM and some daily production report data pulled into DSS for visualization and analysis; cumbersome and has limited user group Majority of data extracted into individual user spreadsheets for further manipulation, visualization and analysis Often leads to duplication of work Significant time spent managing and manipulating, rather than analyzing data
© Chevron 2005 5 Target Workflows Immediate Impact to Team
© Chevron 2005 6 Future State Utilizing Spotfire and iRAVE* Creation of a high quality, integrated and collaborative environment that will: enhance the NOJV Teams ability to perform both routine and advanced well, block, reservoir and field level reservoir management; improve decision quality; reduce time spent managing data; and enhance ability to interface with key internal and external stakeholders. *iRAVE – integrated Reservoir Analysis and Visualization Environment utilizing Spotfire
© Chevron 2005 First Look at iRAVE Where our Asset fits into Corp Rollout Project Framing & Execution Timeline Commence Project 4Q2010May 20113Q2011Oct-Nov 2011 Dec 2011 Project Development Timeline and Team Structure 7 Early Look Corporate iRAVE Release 1 Complete 1Q2012 Identify Value to Team Prototype Panels Data Types & Sources iRAVE & Spotfire Expertise Learnings/best practice sharing Data-> SF interface Transform data -> visualizations Development of iRAVE Database New data & tables Data-> SF interface
© Chevron 2005 8 What is iRAVE Under-the-Hood Look at iRAVE Tool Data Sources Information from a large, heterogeneous set of data sources is brought together in iRAVE (Oracle tables, map files and network flat files) Both structured and unstructured repositories were designed to store the data; significant data clean-up resulted ( a hidden benefit of iRAVE!) Panels iRAVE Release 1 consists of 9 panels with more than 100 visualizations 20% of the visualizations were customized using Spotfire extensions designed by Troy Ruths (HMTL reports, Map Zoom Sync, Maps on Demand) Deployment iRAVE was initially developed for another Chevron NOJV Field and deployed in 2009 5 person team was formed to adapt the original iRAVE application for re- deployment to our Asset; result was delivered in 4 months (able to re-use much of underlying code)
© Chevron 2005 What is iRAVE Panel Development Mocked up Panels Pulled from database, various spreadsheets & fixed files Actual Spotfire iRAVE Panels One Stop Shopping
© Chevron 2005 What is iRAVE Workflow Optimization Example: Variance Analysis for Monthly Forecasting 10 Total Time = 20 mins Old WorkflowNew Workflow
© Chevron 2005 Live Demo of iRAVE Tool IT Components Importing data and fixed files Connection between multiple panels Consistent color coding tied to production areas Incorporation of user friendly page options Critical Workflows Production Reporting, Analysis and Forecasting Facility Reliability and Field Operating Constraints Well and Block Analysis 11
© Chevron 2005 Challenges and Lessons Learned 12 Challenges Entire core team, except developer, unfamiliar with Spotfire Team spread across 3 different offices and time zones Timing of project (October to February) Some pushback from Asset Team members Lessons Learned Unclear roles & responsibilities led to initial inefficiencies in project Asset Team required more routine access to tool to ensure it was meeting teams needs Poorly defined review process resulted in rework by developer and IT. Required more routine check point meetings to view tool as it was being built to ensure it was meeting Asset Team needs
© Chevron 2005 Best Practices 13 Best Practices Multi-disciplinary project team approach (Asset, IT, Developer) Develop robust and clearly defined communication plan, especially for non co-located teams Identify Asset Team champion with broader knowledge of critical workflows; targeted higher value opportunities and managed scope of initial build Engaged end users on project team positively impacts the design process and greatly increases the effectiveness of the deployment
© Chevron 2005 14 iRAVE Go Forward Plan User Feedback and Additional Workflows Release 1 - Complete Field Summary Facility & Reliability D&C Workovers Drilling Curves Production Outlook/Lookback Well Portal Well Analysis Well Test Simple Map Portal Release 1.1 Release 1 fixes Minor enhancements to existing panels Additional Panels Voidage Replacement Ratio Block Analysis Daily Report Comment Summary Release 2.0? Benchmarking Business Plan Historical vs Forecasts/Outlooks (CVX and Operator) Reserves Heat & Tree Mapping Petrophysics Reservoir Properties Expansion of Mapping Capability Operational Changes Other G&G Additional enhancements on the way Transition developer responsibilities to IT Team
© Chevron 2005 Conclusion 15 Successful deployment of iRAVE Release 1 Immediate and positive impact to individuals workflows Improving availability of cross functional information Expanding overall understanding of field Exposing team to Spotfires capabilities Additional teams in business unit interested in iRAVE Evaluating opportunities to utilize tool to engage partners with iRAVE tool Sharing iRAVE with other Chevron teams Significant upside still to be captured
How to commence the IT Modernization Process?
IT Analytics for Symantec Endpoint Protection
2131 Structured System Analysis and Design By Germaine Cheung Hong Kong Computer Institute Lecture 2 (Chapter 2) Information System Building Blocks.
Consult21 Information is subject to change and is for discussion purposes only. Any dates/timings are the current anticipated timescales and may be subject.
Reduce Your Return Mail by One Third! National Postal Forum Nashville TN March 20–23, 2005 Jan Caldwell, Address Management Sharon Harrison, SBC Liz Weber,
Pierre Nantel, Office of the CIO
1. 2 August Recommendation 9.1 of the Strategic Information Technology Advisory Committee (SITAC) report initiated the effort to create an Administrative.
Enhancing Spotfire with the Power of R
Powering Network Rail with the Oracle Business Intelligence Platform
Project 2003 Presentation Ben Howard 15 th July 2003.
HP Quality Center Overview.
1 Chapter 12: Decision-Support Systems for Supply Chain Management CASE: Supply Chain Management Smooths Production Flow Prepared by Hoon Lee Date on 14.
Perfecto We help customers deliver exceptional digital experiences.
iRAVE: integrated Reservoir Analysis & Viz Environment
1 Division of Aging and Adult Services (DAAS) Knowledge Management and Transfer Project 7/30/12.
Implementation of a Validated Statistical Computing Environment Presented by Jeff Schumack, Associate Director – Drug Development Information September.
© 2010 Invensys. All Rights Reserved. The names, logos, and taglines identifying the products and services of Invensys are proprietary marks of Invensys.
Decision Support and Artificial Intelligence Jack G. Zheng July 11 th 2005 MIS Chapter 4.
Data Infrastructure Building Blocks (DIBBS) NSF Solicitation Webinar -- March 3, 2016 Amy Walton, Program Director Advanced Cyberinfrastructure.
Soup-2-Nuts Alaska Department of Fish & Game Commercial Fisheries October, 2011.
© 2017 SlidePlayer.com Inc. All rights reserved.