Journey to a Real Time Enterprise

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Presentation transcript:

Journey to a Real Time Enterprise Mike Reddy Chief Information Officer Chevron International Exploration and Production

Chevron is made up of many different businesses Capital intensive with long-lived assets Information intensive with time scales from seconds to decades Explore Develop Produce Ship Refine Blend Store Pipe Operate in 180 Countries 2005 Revenues of $194 billion 2005 Net Income of $14.1 billion 53,440 Employees Distribute Market

Large Volumes of Different Types of Data are Characteristic of Our Business 50 3D seismic projects = 350 TB + 100 simulation models = 10 TB + 100-million-cell earth model 2-million-cell simulation model Large offshore field 2000 I/O points Data stream = 10 GB / day Explore / Develop Large refinery 30,000 I/O points 1 TB / year processed data; 1 TB / day raw data 75,000 coefficient simulation model Produce Refine / Blend

Chevron International Exploration and Production 9 Business Units & 17,000+ Employees Operating in more than 35 countries Operates over 16,000 wells in about 200 fields

Many functions are needed Petroleum Engineering Facilities Engineering Petrophysics Geology Geophysics Supply Chain Management Finance Planning Field Operations Reservoir Engineering Project Management Research Human Resources Information Technology Process Engineering Project Management I&E Control Systems Engineering Law Completion Engineering Chemical and Corrosion Engineering Maintenance Engineers Compliance Management Health Safety and Environment Drilling

The Upstream Field Environment Production Operations Performance is driven by volumes, unit costs and decision quality Information Systems are key to decision quality support Exploration and Development

Many steps required to enable business transformation Must integrate the IT Strategy with the Business Strategy – it’s not a technology project… Business Value Improved Work Processes Integrated Views of the Business Standards Enabled Integration Data and Information Management Function-specific Applications Computing Infrastructure

Work Processes The challenge of integration Operator Financial Analyst Earth Scientist Production Engineer Reservoir Engineer Many Versions of data, thus no one “truth” Lack of Enterprise Data Visibility (Transparency) Limited Communication & Collaboration Complex Implementation & Maintenance of software End user ease of use of information applications Timely access to information Responsive to change Excel is the favorite application on many users – highly configurable & very personal !! Excel still valid, but needs to move from data, logic and workflow island to an application feed by services (receiving and publishing data to well managed sources in the Information Architecture). Why? User Interface, Logic (unmanaged), User Workflow, Data (trusted) Functionality silos are reduced by providing integrated data and views of data Adapted from Adolfo Henriquez

Improved Work Processes Chevron is focusing on improving key work processes to maximize business value Standard, integrated systems are a key enabler for improved work processes Partnership with business functions is a requirement for success Success comes a bit at a time – it’s a long journey - a continuous learning process

Computing Infrastructure Chevron has obtained great value from a standardization of: PCs & Productivity Applications Network & Servers Security Technical Computing Central Design – design once and deploy everywhere Support costs have been reduced Reliability has been increased Started in 1997 with PCs, updated in 2001 / 2002 along with servers, network, security standardization IT learned how to manage large, complex projects

Function-specific Applications Many different tools are required to operate a complex business No one vendor can supply all of our needs Initial focus was on standardizing tools for specific functions But the business is now demanding data sharing across functions Could lead to many connections & data transfer points

Data and Information Management Data captured once, stored once and leveraged for multiple work processes and applications – define Systems of Record for key data types Common data models used in all systems enable integration of data across functions Data ownership, roles, & responsibilities are clearly defined Data quality is critical Prioritize most critical data types – we can’t do everything at once Real time data and other data types need to be used in concert with other data to make decisions

Integrated Views of the Business An integrated view of major work processes cannot be obtained from function-specific applications People shouldn’t need to learn every application that they need to see some data from Real-time data is one of the components of an integrated view Some key data types are needed at all organizational levels and can be readily rolled-up and drilled-down Many different views of data are valuable …………so what do we do ????

Utilize an Event Driven Architecture Utilize a Service Oriented Architecture connecting data producers with information consumers Service Orientation – exposing systems, applications & data as services enables more rapid integration across functional systems Business Intelligence – A platform consisting of: Data Warehousing of key analytical data Time Series data feeds & analysis Chevron is piloting this approach is several locations with some initial success………..though we still have a long way to go When looking at the service oriented architecture, Chevron began to decompose their core Exploration and Production areas into components. This enabled Chevron to map out work flow associated with each component Which users require what data for decision support – who else is influenced by these decisions? This also enabled Chevron to map out the decisions associated with each element and interrelations with each component The Information Systems begin utilised were then mapped into the workflow This allowed business requirements and technology solutions to begin to be architected as a converged product Applications could now be viewed as services as opposed to point solutions – each was an interoperating part of the whole, but remained autonomous to ensure robustness of the entire solution

Integrated Views of the Business

What has Chevron Learned……… Work on things the business cares about Understand your Business Strategy and focus IT efforts in areas that can make a bottom line impact Continually recycle with Business Users to ensure that you’ve got it right Get your infrastructure sorted out – you can’t focus on transformation if you are worrying about reliability & performance issues Standardize as many of your large applications as possible Implement consistent data models Deploy a Service Oriented Architecture to allow you to quickly pull together data from many sources Start small and build on successes

Questions